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<h3>Job Description</h3>
Job DescriptionBenefits: 
<ul>
<li>Flexible schedule</li>
<li>Opportunity for advancement</li>
<li>Profit sharing</li>
</ul>
 This Is Not Your Average Tech Job Are you a hands-on I.T. or Telecom professional looking for something beyond the desk? AMG Tech Support is seeking skilled, driven technicians to support our growing national client base. This role goes far beyond basic helpdesk tasks one day you might be installing an operating system, the next you're drilling through walls and running structured cabling across entire buildings, or terminating a 66-block. If you're the kind of person who thrives in the field and loves the variety that comes with every job site, this opportunity is for you. Job Responsibilities 
<ul>
<li>Perform a wide range of technical tasks including but not limited to:
<ul>
<li>OS installations, hardware diagnostics, and software setup</li>
<li>Structured cabling (including drilling, running, and dressing cables)</li>
<li>Telecom work (punch-downs, demarc extensions, etc.)</li>
</ul>
</li>
<li>Work independently across various environments: retail, medical, restaurant, and corporate</li>
<li>Maintain a high standard of professionalism with clients</li>
<li>Be on call and ready to respond to service requests within your territory</li>
</ul>
Preferred Skills &amp; Experience 
<ul>
<li>PC and printer troubleshooting experience (a strong plus)</li>
<li>At least 1 year of I.T. or Telecom experience, and one of the following:
<ul>
<li>A+ Certification</li>
<li>Network+ Certification</li>
<li>OR 5+ years verifiable field experience in I.T./Telecom</li>
</ul>
</li>
</ul>
Required Equipment &amp; Qualifications 
<ul>
<li>Reliable personal vehicle (Public transportation not accepted)</li>
<li>Valid drivers license</li>
<li>Must have a standard set of tools for basic I.T. and networking tasks (e.g., screwdrivers, cable testers, crimpers).</li>
<li>Laptop with Ethernet port</li>
<li>Smartphone with mobile hotspot</li>
<li>Ability to accept job assignments based on your availability; being on-call 24/7 is a strong advantage.</li>
<li>Punctual, courteous, and presentable</li>
</ul>
Compensation &amp; Perks 
<ul>
<li>Paid hourly while on site</li>
<li>1099 contractor position</li>
<li>Travel pay included (based on time travel; approx. 80-mile radius from home)</li>
<li>App-based tracking for job time and travel</li>
<li>Exposure to new and exciting technologies and clients</li>
<li>Opportunity to expand your skills and industry knowledge</li>
</ul>
About AMG Tech Support AMG is a trusted provider of I.T. and Telecom solutions to professional offices, medical facilities, restaurants, and retail operations nationwide. We specialize in structured cabling, point-of-sale configurations, and network infrastructure. Our mission is to deliver reliable, scalable, and efficient I.T. services that help our clients stay competitive and connected. Ready to take your I.T. career to the next level? Apply today and join a team that values flexibility, skill, and drive.

Now Hiring IT and Telecom Field Technicians

<h3>Job Description</h3>
Job Description Technician, Field Svc II US-MA-Dedham Job ID: 33367 Type: Full-Time # of Openings: 1 Category: Field Service MA - Dedham (Boston) About the Role 
Spotting a solution and fixing a problem is a tremendous technical skillset. It requires diligence, determination, and a knack for knowledge. Does this sound like you? 
If so, Canon USA, an innovator of technology, solutions, and services, wants to meet you. We’re ready to bring aboard individuals who strive for excellence in operational, maintenance, and networking support to help our valued customers with basic technical expertise of Canon-supported products. 
 Your Impact 
We’re actively seeking an individual to:
<ul>
<li>Diagnose basic mechanical, software, network, and system failures using established procedures.</li>
<li>Service and repair designated equipment to Canon standards and specifications.</li>
<li>Maintain working knowledge and aptitude of multiple product groups. This includes basic aspects of troubleshooting and diagnostics. </li>
<li>Meet and exceed customer demands by providing efficient, responsive, and accurate Field/Shop/on-site maintenance.</li>
<li>Properly maintain all technical information, Field Service Reports, Expense Reports, and Canon property assigned.</li>
<li>Maintain all technical information and Canon property assigned and provide direction to less experienced technicians.</li>
<li>Provide the solutions of escalated technical and/or customer service-related problem areas for any territory requested.</li>
</ul>
 About You: The Skills &amp; Expertise You Bring 
Please note: this is a customer-facing role, and requires compliance with customer policies and protocols, which may include COVID-19 vaccination and other measures relating to COVID-19.&nbsp;
We’re looking for a dedicated individual with:
<ul>
<li>HS Diploma, GED, or equivalent experience required, plus 1 to 2 years of related experience.</li>
<li>A basic understanding of internet environments and the ability to complete the 120-day introductory period and the PDIF (Printing and Digital Imaging Foundations) new-hire class.</li>
<li>The ability to travel (valid driver's license and acceptable driving record necessary).</li>
<li>The capability to work in a 24/7 environment, while performing shift work and on-call rotations.</li>
<li>Required to take all necessary steps to obtain security and/or other clearances required by customers to enter the customers’ premises.</li>
<li>Must be able to lift 50 pounds and be active more than 50 percent of the time (walking, standing, stooping/kneeling).</li>
</ul>
We are providing the anticipated base salary range for this role: $21.50-30.75 Hourly&nbsp; This role is eligible for a transportation allowance.
 Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at <a href="http://www.usa.canon.com" target="_blank">www.usa.canon.com</a> and connect with us on LinkedIn at <a href="https://www.linkedin.com/company/canonusa" target="_blank">https://www.linkedin.com/company/canonusa</a>. 
 Who We Are
 Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. 
What We Offer
 Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. 
And Even More Perks!
 -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at <a href="https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation" target="_blank">https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensat…</a> We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site <a href="https://www.usa.canon.com/about-us/life-at-canon" target="_blank">https://www.usa.canon.com/about-us/life-at-canon</a>, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at <a href="https://www.usa.canon.com/about-us/life-at-canon" target="_blank">https://www.usa.canon.com/about-us/life-at-canon</a>. #CUSA Posting Tags #li-rb1 #pm19 
PI6966d77288a6-25405-38192841

Technician, Field Svc II

<h3>Job Description</h3>
Date Posted:
2025-09-11
Country:
United States of America
Location:
MA801: Marlborough, MA 1001 Boston Post Road Building 2, Marlborough, MA, 01752 USA
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements: 
The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance: 
DoD Clearance: Secret
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.
Raytheon's Receiver, Exciter, and Back-End Processing (REBEP) Department is the focal point for receiver, exciter, beam steering, and signal processing technology within Raytheon. The department is responsible for the design, development, integration, and support to production builds, and lifecycle support of Raytheon products.
We have an opportunity for aPrincipal RF Design Engineer who is seeking to utilize their academic background and professional experience in RF / Microwave system theory and design to help develop the next generation of Raytheon’s Radar Receiver, Exciter, and Transmitter products.
What You Will Do:
<ul>
<li>
Design and development of transmitters, receivers, or exciters.
</li>
<li>
Design and optimization of RF circuits – either chains of components (receiver, exciter, etc.) or individual parts (filters, limiters, couplers, etc.).
</li>
<li>
Working with interdisciplinary teams – power, digital, mechanical, etc.
</li>
<li>
Schematic capture and RF routing.
</li>
<li>
Technical support during the transition to production and support to production activities. 
</li>
<li>
This 1st shift role will be 100% on-site and based in either Tewksbury, MA or Marlborough, MA.
</li>
</ul>
Qualifications You Must Have:
<ul>
<li>
Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum 8 years’ of prior work experience or an Advanced Degree in a related field and minimum 5 years’ of prior work experience unless prohibited by local laws/regulations.
</li>
<li>
Experience with Microwave/RF system, subsystem and/or component analysis, design and/or test.
</li>
<li>
Experience with electromagnetic simulation tools (e.g., HFSS, ADS, CST, and/or Mentor Graphics’ Xpedition) and analytical tools (e.g., MATLAB).
</li>
<li>
The ability to obtain and maintain a U.S. government issued Secret security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
</li>
</ul>
Qualifications We Prefer:
<ul>
<li>
Experience working in design, from concept through production.
</li>
<li>
Experience translating system performance and operation specifications into hardware requirements, design, and test specifications.
</li>
<li>
Background in designing for manufacturability, producibility, and cost constraints, which includes yield and margin analysis.
</li>
<li>
Problem-solving skills with ability to proactively identify alternate solutions to overcome difficult technical challenges.
</li>
<li>
Experience in technical / proposal writing and oral presentations.
</li>
<li>
Technical background in any of the following areas:
<ul>
<li>
Cascade analysis and/or frequency planning
</li>
<li>
Filter design and fabrication
</li>
<li>
Circuit card assembly and fabrication
</li>
<li>
High speed data converter test / characterization
</li>
<li>
Low Noise RF source design and test experience
</li>
</ul>
</li>
</ul>
What We Offer:
<ul>
<li>
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. 
</li>
<li>
This position offers relocation based on candidate eligibility. 
</li>
</ul>

Learn More &amp; Apply Now!
<ul>
<li>
Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite.
</li>
<li>
Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: <a href="https://www.state.gov/m/ds/clearances/c10978.htm" target="_blank">https://www.state.gov/m/ds/clearances/c10978.htm</a>
</li>
</ul>
The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms

Principal RF Design Engineer

<h3>Job Description</h3>
Job Description
Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy.
Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better.
Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started.
If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here.
About the Role
Trellis is hiring a Senior Machine Learning Engineer to advance our real-time bidding (RTB) systems. You will design, implement, and scale ML models that directly power high-volume bidding decisions across millions of daily ad auctions. This includes end-to-end ownership of the ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring in production. You'll leverage Google Cloud Platform services (BigQuery, Vertex AI, Dataflow, Pub/Sub) and Python-based ML frameworks (TensorFlow, PyTorch, Scikit-learn) to deliver measurable improvements in bidding efficiency and ROI.
This is a fully remote position, based in the US or Canada, and will report directly into the Head of RTB, Thomas Boquet. 
We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $190,000 – $200,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions.
What You'll Do
<ul>
<li>Research, design, and implement advanced ML models for conversion rate prediction, value estimation, and pacing.</li>
<li>Build robust feature pipelines with BigQuery and Dataflow, ensuring low-latency inference at scale.</li>
<li>Deploy, monitor, and continuously improve models in production using Vertex AI.</li>
<li>Develop and maintain MLOps frameworks to automate training, evaluation, and deployment.</li>
<li>Partner with backend and distributed systems engineers to integrate models into high-throughput bidding services.</li>
<li>Contribute to experimentation frameworks and AB testing of ML-driven bidding strategies.</li>
</ul>
What You'll Need
<ul>
<li>5+ years of ML engineering experience, including end-to-end deployment in production environments.</li>
<li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or Scikit-learn).</li>
<li>Experience with cloud ML platforms, preferably GCP (Vertex AI, Dataflow, Pub/Sub, BigQuery).</li>
<li>Familiarity with MLOps practices (CI/CD for ML, monitoring, reproducibility).</li>
<li>Strong data skills: SQL, feature engineering, and big data processing.</li>
<li>A pragmatic mindset: delivering fast, measurable improvements while balancing complexity and scale.</li>
</ul>
Why Trellis? Because life's too short for boring jobs.
We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast.
Here's what makes Trellis an incredible place to build your career:
<ul>
<li>
✨ A flat, transparent culture where your voice actually matters
</li>
<li>
🚀 Ground-floor opportunity with room to stretch and grow 
</li>
<li>
&amp;#x1F4B0; Compensation at the 75th+ percentile 
</li>
<li>
🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is)
</li>
<li>
🎉 Quarterly team events that keep our fully remote culture connected and fun
</li>
</ul>
And yes, the perks are pretty great too:
<ul>
<li>
🌴 Flexible vacation (seriously, we want you to take it)
</li>
<li>
🩺 100% employer-paid health insurance for employees (65% for dependents)
</li>
<li>
&amp;#x1F4BB; Home office budget to set up your perfect workspace
</li>
<li>🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee</li>
<li>
💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future
</li>
<li>🐣 Paid parental leave</li>
</ul>
👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

Senior Machine Learning Engineer, Real-Time Bidding

<h3>Job Description</h3>
Job DescriptionDescription:
InTest Thermal Solutions (iTS) specializes in the design and manufacture of precision temperature control systems. Our breadth of products and in-house engineering capabilities allow us to be a single-partner-solution for thermal test, process cooling, and cold storage applications. We are recognized globally for our expertise in precise temperature control and simulation of extreme thermal environments, from -185 to +500&amp;degree;C, with rapid transitions or long dwell times. The iTS family includes four product brands: Temptronic, Sigma Systems, Thermonics, and North Sciences. inTEST Thermal Solutions is a wholly owned subsidiary of InTest Corporation, Mount Laurel, New Jersey, USA.
The Field Service Engineer will be responsible for the installation of new customer systems, providing preventative maintenance (PM) and Calibrations (NIST and ISO17025) at our customer sites, and be able to analyze, identify and resolve product issues at the customer site. Working closely with the Head of Global Service and the Sales / Service Administrator you will be fluent in parts ordering processes and completing comprehensive service reports. In addition to reactive services, the FSE will provide guidance to customers on the correct Priority Service Agreements that may be applicable to their specific requirements.
 
A strong ability to communicate and empathize with customer concerns and the challenges they face having our product unavailable for use.
 
Requirements:
ESSENTIAL DUTIES AND RESPONSIBILITIES:
· Bachelor's degree in a related field or equivalent practical experience
· Experience handling multiple caseloads and proficient in customer support ticketing systems
· Must be self-motivated with a strong sense of urgency
· Detail orientated with a focus on customer service
· Experience with support tools and cloud applications a plus
· Excellent written and verbal communication skills
· Proficiency with Microsoft Office tools – Word, Excel, PowerPoint, as well as familiarity with CRM tools (HubSpot specifically)
· Working knowledge in refrigeration, electronics, thermal measurements, RS-232/IEEE communications and mechanical engineering strongly preferred
· US Citizenship Required for this position (ITAR Requirements)
· EPA 608 Certification a major plus
· Travel up to 75% of the time
 
US Citizenship Required for this position
 
Service area will cover all of East Coast from Maine to Florida. Candidates must be able to commute to the Mansfield, MA facility when not performing service calls at customer sites. Some travel at times may expand throughout the US and International when needed. The candidate is expected to be an experienced and highly motivated individual with strong technical skills. The candidate must exhibit good teamwork and communication skills that allow efficient interactions between departmental team peers, as well as cross-functional associates.
InTest Thermal Solutions is an equal opportunity employer (EOE) and offers competitive salary and benefits package - health &amp; dental benefit package, paid vacation, holidays and sick time, and 401k, with employer match and much more!
Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.

Field Service Engineer - East Coast

<h3>Job Description</h3>
Job Description
We are offering an exciting opportunity for a Senior Load Rating Engineer to join our Boston, MA team. 
We are seeking a Senior Bridge Load Rating Engineer to lead and perform bridge load ratings and structural analysis tasks in support of regional bridge inspection and design projects. This role will oversee both bridge inspection load ratings and bridge design load ratings for a varied client base in the H&amp;H Northeast Region 1 and Region 2 markets.
With over 138 years of experience, H&amp;H is a trusted full-service infrastructure engineering firm. Our clients, including infrastructure owners, contractors, and colleagues, rely on us for intricate and innovative engineering solutions. They trust our time-tested ability to manage the entire life cycle of a project, from the study and planning phase through to design and construction. With over 600 talented employees located across 30 offices nationwide, H&amp;H can efficiently and effectively handle assignments of all sizes, types, and delivery methods around the country and across the globe.
Responsibilities
<ul>
<li>Lead the planning, analysis, and delivery of bridge load ratings and structural analysis in compliance with MassDOT requirements.</li>
<li>Perform Level 1 and Level 2 load ratings as required by specific client needs.</li>
<li>Conduct engineering computations, prepare load rating reports, and develop demand models and capacity computations using owner-specific modeling and design software.</li>
<li>Serve as the responsible charge of a team of load rating engineers; provide technical direction, guidance, and supervision to technicians, mid-level, and entry-level engineers.</li>
<li>Develop staff training plans within established budgets.</li>
<li>Coordinate with project managers to manage project scopes, schedules, budgets, QA/QC activities, and team collaboration.</li>
<li>Oversee and review analysis methodologies, model development, calculations, reports, and memorandums.</li>
<li>Manage teams distributed across multiple offices.</li>
<li>Participate in or direct field verification visits as needed.</li>
<li>Engage in professional societies, including presenting and attending conferences.</li>
<li>Travel between regional offices, as necessary.</li>
</ul>
Requirements
<ul>
<li>Bachelor’s and/or Master’s degree in Civil Engineering from an accredited institution.</li>
<li>10+ years of bridge engineering experience; preference for candidates with 5+ years in bridge load rating or structural modeling.</li>
<li>Completion of FHWA-approved comprehensive bridge inspection training (e.g., NHI “Safety Inspection of In-Service Bridges”).</li>
<li>Completion of, or registration for, FHWA courses NHI-130092 and NHI-130095 (preference for completed).</li>
<li>Knowledge of MassDOT Design &amp; Load Rating Manuals and AASHTO Standards.</li>
<li>Proficiency with engineering software such as AASHTOWare BrR, MIDAS, STAAD, LARSA, CSiBridge, and/or Sap2000.</li>
<li>Proficiency with Autodesk and Bentley CAD software.</li>
<li>Valid driver’s license.</li>
<li>Strong communication, leadership, and business development skills.</li>
<li>Professional Engineer (PE) license required in MA (or ability to obtain). Preference given to candidates with a Structural Engineer (SE) license.</li>
</ul>
Benefits
Salary range— $125,000-$175,000 annually. Salary commensurate with experience.
We offer a professional work environment, a competitive salary, a benefits package, and 401(k).
EOE M/F/DISABILITY/VETS

Senior Load Rating Engineer

<h3>Job Description</h3>
Job Description
Rochester Electronics is immedaitely hiring for a Senior Equipment Maintenance Engineer!
At Rochester Electronics, we create an excellent employee experience focused on value, performance, motivation, recognition, and career growth. Many companies say their employees are their most important asset. At Rochester Electronics, we mean it! 
<ul>
<li>Outstanding low-cost medical, dental, vision, and prescription drug coverage, Rochester pays 92% of the premiums on behalf of its full-time employees</li>
<li>Paid time off, including vacation, sick, and holiday</li>
<li>Generous match 401K program</li>
<li>Tuition reimbursement</li>
<li>Flexible spending account</li>
</ul>
And so much more!
For the last 40 years, Rochester Electronics, in partnership with over 70 leading semiconductor manufacturers, has provided our valued customers with a continuous source of critical semiconductors. As an original manufacturer stocking distributor, Rochester has over 15 billion devices in stock encompassing more than 200,000-part numbers, providing the world’s most extensive range of end-of-life (EOL) and broadest range of active semiconductors. As a licensed semiconductor manufacturer, Rochester has manufactured over 20,000 device types. With over 12 billion die in stock, Rochester can manufacture over 70,000 device types.
General Summary
Equipment maintenance supporting semiconductor manufacturing equipment, in both component assembly, and test. Provide in depth troubleshooting and solutions for complex equipment problems. Implement new equipment learnings/advancements to subordinates and peers. Create and steer multifunction teams to support production with equipment setups, commissioning’s, buy-offs, enhancements, calibrations, and repairs.
Responsibilities
<ul>
<li>In-depth knowledge of semiconductor component test equipment across multiple equipment types.</li>
<li>Coordinates all necessary resources to troubleshoot equipment failures to find root cause, define and implement the solution.</li>
<li>Design, execution, and analysis of experiments to screen and optimize equipment to drive continuous improvement, high uptime and process reliability, efforts.</li>
<li>Leads communications with other equipment maintenance team members and equipment users.</li>
<li>Work with outside vendors for specialist advice and arrange for service support where necessary.</li>
<li>Develop procedures and carry out preventative maintenance on production equipment.</li>
<li>Manages and steers all activities in a safe and responsible manner and support all Environmental, Health, Safety &amp; Security requirements, and programs.</li>
<li>Will be responsible as required for routine tasks of automated component handling kit changes, set up of automation equipment to support production requirements.</li>
<li>Will be responsible for supporting other Equipment Maintenance activities such as parts &amp; chemical inventories, general purchasing needs, etc.</li>
<li>Troubleshooting equipment malfunctions.</li>
<li>Traveling to client locations for equipment inspection occasionally 5% or less.</li>
<li>Inspecting equipment and conducting routine maintenance.</li>
<li>Removing old equipment and installing new machines.</li>
<li>Providing technical support and training maintenance technicians on new equipment.</li>
<li>Creating, updating and implementing new and existing SOP’s, Specifications for Equipment Operations, PMs and Calibrations.</li>
</ul>
Qualifications
<ul>
<li>Bachelor’s degree in Mechanical or Electrical Engineering, required.</li>
<li>Minimum of 5 year of experience as an Equipment Maintenance Engineer; or other equivalent combination of education and experience.</li>
<li>Advanced Knowledge of mechanical, electrical fundamentals, electronic schematics.</li>
<li>Quickly react to change of priorities to support fast changing production priorities.</li>
<li>In-depth knowledge of semiconductor component test equipment across multiple equipment types.</li>
<li>Ability to read system schematics.</li>
<li>Advanced troubleshooting skills.</li>
<li>Advanced safety practices for manufacturing equipment.</li>
<li>Good communication and training skills.</li>
<li>Relevant technical experience in semiconductor equipment maintenance with a proven ability to work in a dynamic environment and deliver results.</li>
<li>Excellent diagnostic and troubleshooting skills for process/equipment interactions.</li>
<li>Practical experience applying structured problem-solving methods.</li>
<li>Initiative to address and appropriately escalate problems to achieve rapid resolution.</li>
<li>Advanced knowledge and implementation of MSA, GR&amp;R, PFMEA Critical analysis.</li>
</ul>

Senior Equipment Maintenance Engineer

<h3>Job Description</h3>
Lead AI Engineer (AI Foundations, LLM Core)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience designing, developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead AI Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Jose, CA: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core)

<h3>Job Description</h3>
Lead AI Engineer (FM Hosting, LLM Inference)
Overview 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience designing, developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead AI Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
San Jose, CA: $211,000 - $240,800 for Lead AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference)

<h3>Job Description</h3>
Senior AI Engineer (AI Foundations, LLM Core)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.&nbsp; Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 3 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer
 &nbsp;
McLean, VA: $158,600 - $181,000 for Senior AI Engineer
 &nbsp;
New York, NY: $173,000 - $197,400 for Senior AI Engineer
 &nbsp;
San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer
 &nbsp;
San Jose, CA: $173,000 - $197,400 for Senior AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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