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<h3>Job Description</h3>
Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a highly skilled Senior ML Platform Engineer to join our ML Platform team. This role is pivotal in scaling our ML infrastructure and enabling the efficient deployment and monitoring of machine learning models across cloud environments. As a senior contributor, you will act as a force multiplier—building robust abstractions, platforms, and tooling to supercharge our Data Science and AI teams. You will design and implement scalable systems that operationalize machine learning at WHOOP with speed, reliability, and precision. Your work will directly support our use of AI to enhance team efficiency, automate decision-making, and personalize member experiences.RESPONSIBILITIES:
<ul>
<li>Architect, build, own, and operate&nbsp;scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility.</li>
<li>Create, support, and maintain&nbsp;core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability.</li>
<li>Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale.</li>
<li>Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability.</li>
<li>Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to&nbsp;operationalize and support&nbsp;model development, deployment, and monitoring workflows.</li>
<li>Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members.</li>
<li>Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms.</li>
<li>Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles.</li>
<li>Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation.</li>
<li>Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale.</li>
</ul>
QUALIFICATIONS:
<ul>
<li>Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field; or equivalent practical experience.</li>
<li>5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps.</li>
<li>Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs.</li>
<li>Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation).</li>
<li>Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks.</li>
<li>Proficiency in ML lifecycle tools (MLflow, Weights &amp; Biases, BentoML) and containerization strategies (Docker, Kubernetes).</li>
<li>Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems.</li>
<li>Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment.</li>
<li>Passion for AI and automation to solve real-world problems and improve operational workflows.</li>
</ul>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in&nbsp;E-verify&nbsp;to determine employment eligibility.&nbsp; It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.&nbsp;In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Senior ML Platform Engineer

<h3>Job Description</h3>
Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit <a href="http://www.shield.ai" target="_blank">www.shield.ai</a>. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.&nbsp; Job Description: This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards.&nbsp; Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defenseWhat you'll do:
<ul>
<li>Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.</li>
<li>High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.</li>
<li>Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.</li>
<li>Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.</li>
<li>Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.</li>
<li>Deployment &amp; Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.</li>
<li>Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.</li>
<li>R&amp;D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.</li>
<li>Program Support &amp; Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.</li>
<li>Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
Required Qualifications:
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience&nbsp;</li>
<li>Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.&nbsp;</li>
<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).</li>
<li>Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.&nbsp;</li>
<li>Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)&nbsp;</li>
<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.</li>
<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.</li>
<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.</li>
<li>Ability to obtain a SECRET clearance.&nbsp;</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience applying ML/RL techniques in autonomy pipelines.</li>
<li>Background in collaborative behaviors, swarm robotics, or distributed decision-making.</li>
<li>Familiarity with tactical behaviors for unmanned systems in DoD or government programs.</li>
<li>Work on behaviors applicable across air, ground, and maritime vehicles.</li>
<li>Hands-on experience supporting flight demos or live exercises.</li>
<li>Experience with UCI and OMS Standards</li>
</ul>
#LI-ED1#LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to&nbsp;equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.&nbsp;
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Engineer, Autonomy - Tactical Behaviors (R4128)

<h3>Job Description</h3>
Job DescriptionOur Mission: Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.&nbsp; About UMV: Ultra Mobility Vehicle (UMV) is focused on advancing robot mobility to make machines more useful in everyday life. The team combines wheels, dynamic legged systems, and whole-body behavior to reach higher levels of movement capability. Using fast terrain perception, our robots adapt to their environment by rolling over or jumping on obstacles. This research is central to developing robotic systems that move with speed, agility, and versatility. Senior Perception Software Engineer will have proven hands-on experience developing and integrating state of the art computer vision systems for real-life robot operation. Overall we are looking for T-shaped people – with deep competence in one of our core areas and broad understanding of the field as a whole.&nbsp;What You Will Do:
<ul>
<li>Integrate and extend current state-of-the-art vision algorithms and hardware to work on highly dynamic mobile robots, with high-rate and precision requirements.</li>
<li>Work with Controls, Hardware, and other researchers on designing, training, developing, and deploying new vision algorithms for dynamic locomotion, navigation, state estimation, etc.</li>
<li>Collaborate with other teams by designing modular software systems and assisting with software infrastructure like calibration efforts, camera drivers, and containerization.</li>
<li>Promote and enforce quality and reliability of code through the application of best coding and design practices, mentorship, and regular code reviews.</li>
<li>Share your innovative work with the community through publications at top-tier conferences (e.g., CORL, ICRA, IROS, RSS, CVPR, NeurIPS, etc.)</li>
<li>Mentor junior engineers and researchers.</li>
</ul>
What We Are Looking For:
<ul>
<li>BS, MS or PhD in computer science, robotics, electrical/mechanical/aerospace engineering, or a related field.</li>
<li>7+ years in a related industry</li>
<li>Experience deploying algorithms on physical systems and solving the system level problems that arise.</li>
<li>Strong programming skills with Python and C++.</li>
<li>Experience with ROS 2 and robotic software integration.</li>
<li>Good grasp of at least a handful of computer vision techniques, for example 3D localization, robot state estimation, depth sensing, object modeling, scene graphs, object pose estimation, Gaussian splatting, or point/object tracking.</li>
<li>Proven track record of collaboration and mentorship of junior colleagues.</li>
</ul>
Stand Out With Any Of the Following:
<ul>
<li>Direct, hands-on experience implementing and debugging factor graph state estimation systems (e.g., using libraries like GTSAM, Ceres, or custom solvers).</li>
<li>Proven expert-level knowledge of ROS 2 middleware</li>
<li>Deep expertise with IMUs, including calibration and integration.&nbsp;</li>
<li>Deep expertise in software optimization, hardware acceleration or parallel computing (CPU, GPU, CUDA).</li>
<li>A proven expert-level knowledge of deep learning in the context of robotics problems like semantic segmentation, 3D reconstruction, point cloud registration, or object detection.</li>
<li>A track record of publishing at top-tier robotics and computer vision conferences.</li>
</ul>
The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established. &nbsp;Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.&nbsp; &nbsp;Base pay is part of a competitive total compensation package that may include an annual bonus, a long-term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more. &nbsp;Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sr. Perception Software Engineer - Ultra Mobility Vehicle (UMV)

<h3>Job Description</h3>
Job Description
At Vermont SportsCar, we are committed to victory. We win by treating our people well, respecting them, and taking care of them. Working at VSC is more than just a job - it is being part of a team, working together to give back and share our successes and our passion for the sport with our teammates, our industry, and the community around us.&nbsp; We are seeking an experienced Senior Motorsports Engineer to join our winning team and become part of our motorsports family.&nbsp;
The Senior Motorsports Engineer is responsible&nbsp;for Engineering related technical planning, preparations and execution during testing, demo/exhibition and race events.&nbsp;The Senior Motorsports Engineer manages our team of engineers as necessary through direction provided by the Technical Director, plans and executes technical strategy during test days and race events targeting increased performance and reliability.&nbsp; The Senior Motorsports Engineer reports directly to the Technical Director.&nbsp;&nbsp;
Supervisory Responsibilities:
<ul>
<li>
Responsible for Engineers/Engineering Teams as assigned
</li>
<li>
Responsible for Project Management as assigned
</li>
<li>
Strong ability to lead a technical team on a given project &nbsp;
</li>
</ul>
Duties/Responsibilities:
<ul>
<li>
Preparation of the car in the workshop including re-prep; car setup; communicating with other departments such as composites, fabrication, paint, tires.&nbsp;
</li>
<li>
Coordinate with the Production Manager to manage requests and workload.&nbsp; Follow up actions from previous outings.
</li>
<li>
Strong ability to diagnose any issues on a professional level race car (electronic, mechanical, powertrain)
</li>
<li>
Oversee shakedown and commissioning prior to event. Decide and execute changes as necessary to technical teams.
</li>
<li>
Ability to improve chassis setup based on driver’s comments and data analysis.
</li>
<li>
Manage the race day organization with the race engineer and lead technicians.
</li>
<li>
Interact with scrutineers, race officials and other teams in a professional manner.
</li>
<li>
Record outing data.&nbsp; Prepare event summary technical report.
</li>
<li>
Create engineering reports for Senior Management as required.
</li>
<li>
Train the Race Engineer and Technicians on proper techniques as needed.
</li>
<li>
Monitor car, truck and workshop parts inventory and request restocking as required within budget constraints.
</li>
<li>
Advise when updates or testing is required.&nbsp; Prepare a test plan, record session data and prepare summary reports.
</li>
<li>
Comply with health, safety (including OSHA), and environmental procedures, and ensure the cleanliness of the work area.
</li>
<li>
Other duties as needed to support VSC's various racing programs.
</li>
</ul>
 Education and Experience:
<ul>
<li>
BS or greater in Mechanical Engineering, Electrical Engineering or similar is preferred
</li>
<li>
At least&nbsp;5 years&nbsp;of high level motorsport experience with a professional race team
</li>
<li>
Electric vehicle experience is a plus
</li>
</ul>
Required Skills/Abilities:
<ul>
<li>
Strong mechanical aptitude
</li>
<li>
Proven ability to multi-task and work comfortably in a fast-paced, often-changing environment including excellent organizational skills with a high degree of initiative and flexibility
</li>
<li>
Proven ability to be a team player with high integrity is a must
</li>
<li>
Excellent time management skills
</li>
<li>
Strong verbal and written communication and interpersonal skills
</li>
<li>
Ability to work independently as well as part of a team
</li>
<li>
Proficient in Microsoft Office Suite (Excel, Word, etc.) or related software
</li>
<li>
Proven ability to safely set up and/or operate hand and machine tools in challenging environments
</li>
<li>
Reliability and punctuality are strongly desired for the success of this role
</li>
</ul>
Physical Requirements:
<ul>
<li>
While performing the duties of this position, individuals may frequently be required to stand, walk or sit for extended periods of time; use hands and fingers to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; regularly required to talk and hear
</li>
<li>
The individual must be able to regularly lift and/or move up to 50 pounds and occasionally lift and/or move up to 75 pounds
</li>
<li>
Specific vision requirements for this position include close vision, distance vision, and the ability to adjust focus as required.
</li>
</ul>
At Vermont SportsCar, we take care of our employees. Our generous benefit offerings include:
<ul>
<li>Health insurance with company-funded HSA</li>
<li>Dental insurance</li>
<li>Vision insurance</li>
<li>Life insurance</li>
<li>Disability insurance</li>
<li>Employee assistance program</li>
<li>Paid time off</li>
<li>Retirement plan with employer contributions</li>
<li>Free branded apparel</li>
<li>Coffee, Tea,&nbsp;healthy snacks&nbsp;and other treats to keep you fueled throughout the day</li>
</ul>
Our modern facility is in the beautiful northern part of the state, just outside of Burlington, Vermont. Continuously voted one of the best places to live in the country, Burlington and Vermont are home to hard-working, hard-playing people who appreciate the outdoors and all the state has to offer.
Full time position, VT based. US citizen/green card holder Working at Vermont SportsCar is a rewarding experience, and we hope you consider joining our team.&nbsp; This is a&nbsp;Full time position, VT based.&nbsp; Must be a US citizen/green card holder. Apply today - we look forward to hearing from you!&nbsp;&nbsp;
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C7iX7NLkBt

Senior Motorsports Engineer

<h3>Job Description</h3>
Job DescriptionAbout Galois
Who We Are: From building digital engineering tools that make space exploration safer to verifying cryptographic libraries that protect some of the world’s most valuable data, Galois develops technology to guarantee the trustworthiness of systems where failure is unacceptable.
We are a community of researchers, engineers, and operations people dedicated to creating trustworthiness in critical systems in every functional area of the organization. Our unique organizational structure enables us to adapt to the needs of the innovative projects we deliver.
What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical software systems, allowing us to model, analyze, and mathematically prove that a system behaves exactly as intended under all circumstances. With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to deliver high assurance solutions and tools that enhance security, reliability, and operational efficiency across sectors including aerospace &amp; defense, healthcare, semiconductors, and fintech.
Research Engineers at Galois design and develop advanced technologies for safety- and security-critical systems, networks, and applications. Engineers work in small team settings and must successfully interact with clients, partners, and other employees in a highly cooperative, collaborative, and intellectually challenging environment.
Life at Galois: People are the foundation of Galois’s success. As an employee-owned company, we care not only about the technologies we develop, but also the path we take to create them. Galois operates under a highly collaborative organizational model that encourages leadership and teamwork and respects the individuals.
For more on our culture and organizational structure, visit Life at Galois.
About This Role
Galois is hiring a Software Engineer/Researcher to join our team! This role will primarily focus on advancing the state of the art in programming language theory research and implementation. Researchers in this role will use their expertise in Formal Methods and Programming Languages to conduct rigorous formal verification of software and systems, ensuring they meet the highest security standards.
Responsibilities
As a Research Engineer, you will have the following responsibilities: 
<ul>
<li>Requirements gathering: engaging the client in a series of discussions, where each iteration refines the needs of the client, and leads to the suggestion of means to meet those needs.</li>
<li>Architecture and design: constructing high-level architectural descriptions of software systems, and constructing deeper program designs by fleshing out architecture prototypes. Architectures must be designed with assurance in mind, determining where and how formal methods are to be applied.</li>
<li>Implementation: extending design prototypes through to a finished product, with care taken to ensure robustness and ease of use. </li>
<li>Formal verification: use mechanical reasoning tools such as theorem provers and model checkers to demonstrate or analyze desired security and correctness properties of systems.</li>
<li>Testing and validation: constructing and regularly conducting system, unit, and regression tests, and conducting semi-formal validation and verification.</li>
<li>Technology research and development: conducting speculative research and development of cutting-edge technology, and incorporating that technology in product prototypes. </li>
<li>Technical infrastructure development: developing (designing, implementing, and maintaining) tools to be used within Galois, and developing library code to be shared among projects.</li>
</ul>
Key Qualifications
<ul>
<li>Education: </li>
<ul>
<li>A minimum of a Bachelor's degree in computer science or equivalent is required. </li>
<li>An MS or PhD in CS or a related field is desirable but optional.</li>
</ul>
<li>Required Technical Expertise:</li>
<ul>
<li>A programming languages background and experience with formal methods.</li>
<li>Must have hands-on experience developing software and applying formal verification techniques.</li>
<li>Familiarity with diverse formal methods, such as model checking, theorem proving, program analysis, and formal semantics of programming languages, and demonstrated expertise in at least one such area.</li>
<li>Experience in all aspects of software engineering practices.</li>
<li>Fluent in using semi-formal methods such as Haskell or other functional programming languages, including executable formal specifications.</li>
</ul>
<li>Required General Skills:</li>
<ul>
<li>Must work well with customers, including building rapport, identifying needs, and communicating with strong written, verbal, and presentation skills. </li>
<li>Must be highly motivated and able to self-manage deadlines and quality goals.</li>
</ul>
</ul>
<ul>
<li>Preference will be given to candidates with one or more of the following technical expertise:</li>
<ul>
<li>Direct experience in developing high-assurance systems and/or security products.</li>
<li>Experience with Model Based Systems Engineering tools, with expertise in SysML and AADL.</li>
<li>Knowledge of hardware engineering languages and platforms such as VHDL, Chisel, Bluespec, SystemVerilog, and Verilog.</li>
</ul>
</ul>
Security and Citizenship Requirement
Active and transferable U.S. government issued security clearance is required.​ 
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​.
Location
We enjoy a hybrid work environment, and candidates may be based out of any of our offices in Arlington, VA, Dayton, OH, Minneapolis, MN, or Portland, OR. Additionally, being located in Boston, MA is also welcome.
Benefits
We offer a robust benefits package to provide for your and your family’s well-being, including:
<ul>
<li>Employee Stock Ownership Plan (ESOP)</li>
<li>401(k) retirement plan with 5% employer match and immediate vesting</li>
<li>Fully paid medical insurance plans and dental and vision reimbursement plan</li>
<li>Health Savings Account (HSA) with generous employer contributions</li>
<li>Mental health and wellbeing support through our employee assistance program</li>
<li>5 weeks of paid time off and 9 days of paid company holidays each year</li>
<li>16 weeks of fully paid parental leave (available for birth, adoption, and fostering)</li>
<li>1 week of fully paid “Blue Sky” innovation time each year to pursue your interests</li>
</ul>
For more information on our benefits, visit Careers at Galois.
Compensation
Compensation is based on the value of your results, not your value as an employee or person. The compensation process, individual salaries, and criteria for salary changes are transparent to the entire company.
For more information about our forward-looking and transparent approach to pay, visit Compensation.
Equal Employment Opportunity
Galois is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race, ethnicity, national origin, ancestry, color, sex, gender identity or expression, sexual orientation, marital or parental status, pregnancy or childbirth, disability, age, religion, creed, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We encourage and respect different viewpoints and experiences as being essential to the process of innovation. We strive to acquire, grow, and maintain a diverse and inclusive workplace that applies principles and standards equitably while supporting the needs and accommodations of the individual employee.
Consistent with the Americans with Disabilities Act (ADA) and federal and state laws, it is the policy of Galois, Inc. to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. If you require reasonable accommodation in completing the employment application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact <a href="mailto:peopleoperations@galois.com" target="_blank">peopleoperations@galois.com</a>.

Research Engineer

<h3>Job Description</h3>
Job Description
At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals &amp; Mining, Warehousing &amp; Distribution, and CPG/Food &amp; Beverage industries. Our national and global scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site. 
We are seeking an Senior Ignition Engineer with expertise in Inductive Automation Ignition to lead the design, development, and deployment of SCADA, IIoT, and industrial automation solutions. Responsibilities include implementation, testing and startup of technical solutions created by yourself or others. You will work closely with cross-functional teams, integrating industrial systems, and ensuring high-performance, scalable, and secure automation applications.
You will:
<ul>
<li>Design, develop, and implement Ignition-based SCADA and IIoT solutions for industrial automation projects.</li>
<li>Be the technical lead for Ignition architecture, including Gateway configuration, Perspective, Vision, and SQL databases.</li>
<li>Design and configure PLC/SCADA networks</li>
<li>Work cooperatively with engineering, design, production, and field service staff</li>
<li>Aware of Project budget and schedules for the purpose of recognizing and communicating issues to PMs before becoming a conflict</li>
<li>Develop overall system architecture for industrial control projects</li>
<li>Specify and configure various hardware components such as, instrumentation, PLCs, communication systems and industrial control panels</li>
<li>Perform functional testing of electrical and control systems</li>
<li>Mentor and train engineers, providing technical guidance and Ignition best practices.</li>
<li>Coordinate start-up activities within ETG, any contractors and owner personnel</li>
<li>Develop and Lead training classes internally and externally</li>
<li>Create tools, methods and approaches to increase engineering efficiency</li>
<li>Assist Business development team to evaluate and promote opportunities with predesigns, estimates, and in person presentations</li>
<li>Be an ambassador who embodies our Core Values, prioritizing the success of E Tech Group, our clients, and the professional development of our associates. </li>
</ul>
You have:
<ul>
<li>Bachelor's Degree in Engineering or equivalent experience.</li>
<li>10+ years of experience in the control system industry. </li>
<li>5+ years of hands-on experience with Inductive Automation Ignition (Perspective, Vision, SQL, Tag Historian, Scripting).</li>
<li>Extensive knowledge of advanced Ignition concepts, including system architecture, scripting, and integration best practices.</li>
<li>Strong development skills in Jython, SQL, and JavaScript for building robust and scalable solutions.</li>
<li>Familiarity with UI/UX principles to design intuitive and user-friendly interfaces.</li>
<li>Strong understanding of controls systems.</li>
<li>Ability to develop PLC and HMI programs within one or more languages</li>
<li>Experience commissioning in "live" environments. </li>
<li>Current Gold certified in Ignition</li>
<li>A DNA comprised of collaboration and teamwork. </li>
</ul>
You may have:
Experience with GMP and GDP or working on projects or in facilities regulated by the FDA.
Benefits &amp; Perks:
<ul>
<li>401k + match + prompt enrollment.  E Tech Group employees are 100% vested upon entry. </li>
<li>Prompt enrollment into Medical, Dental, and Vision benefits. </li>
<li>Generous paid time off that includes paid vacation, paid holidays, paid family leave and sick time off. </li>
<li>Learning and growth are key parts of the E Tech culture. We provide you with training and continuing education from day one, so you can advance your career. As an E Tech associate, you can unlock your greatest potential through challenges and opportunities. </li>
</ul>
E Tech Group is an Equal Opportunity Employer. Applicants are considered for employment without regard to race, color, religion, sex, age, disability, military status, genetic information, gender identity, sexual orientation, citizenship status, or any other basis prohibited by law. E Tech Group will provide reasonable accommodations to qualified individuals with disabilities and for religious beliefs. E Tech Group is an Affirmative Action Employer of individuals with disabilities and protected veterans.

Senior Ignition Engineer

<h3>Job Description</h3>
Job DescriptionWHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device–grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.RESPONSIBILITIES:
<ul>
<li>Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers.</li>
<li>Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance.</li>
<li>Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency.</li>
<li>Collaborate with researchers and product teams to align model development with health insights and member impact.</li>
<li>Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.</li>
</ul>
QUALIFICATIONS:
<ul>
<li>Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred.</li>
<li>5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems.</li>
<li>Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred).</li>
<li>Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines.</li>
<li>Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code.</li>
<li>Strong communication skills to collaborate across engineering, research, and product teams.</li>
<li>Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)</li>
<li>Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems.</li>
<li>Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems.</li>
<li>Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale.</li>
</ul>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in&nbsp;E-verify&nbsp;to determine employment eligibility.&nbsp; It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.&nbsp; In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about&nbsp;WHOOP.

Senior Machine Learning Engineer (Health)

<h3>Job Description</h3>
Job Description
 
 
About Us!
Vanderweil Engineers is a top ranked national full-service engineering firm specializing in MEP/FP, and technology services. Working in multiple sectors including Science &amp; Technology, Mission Critical, Academic, Healthcare and Commercial buildings. In our 75th year in operation with a staff of 500+ located across nine offices, we are proud to be one of the leading independently owned engineering firms in the country.
If you are looking for an opportunity to grow your career with some of the best minds in the industry, we are looking for you. Our size allows us to share resources between offices offering growth and stability in an ever-changing environment.  We have a robust library of technical resources including design standards and training opportunities. 
We pride ourselves in being an “engineering first” company with whom owners and architects want to team. You will have the support of principals and mechanical team leaders to advance your goals. Join us to do the best work of your career as a Senior Mechanical / HVAC  Engineer at our Boston, MA office. 
 
Some of the Responsibilities include:
• Senior Engineer - Science &amp; Technology focus
• Lead engineer to perform all calculations, design concepts and supervision of all project level production.
• Understands Revit to allow leadership and direction for the designs team.
• Assuring that tasks are complete, accurate and in accordance with good engineering practices.
• Develop concept designs, researches equipment selections, infrastructure utility designs for air and water systems.
• Knowledge and experience with calculations, equipment selection, ductwork distribution system, water system designs, boiler plants, chilled water plants, and construction documents
• Will attend field visits, meet with clients and vendors as necessary.
• General coordination of specific design aspects into a project.
• Will help develop and mentor junior and other team members.
• Works closely with other disciplines on multi-discipline projects, mechanical, electrical etc.
Essential Skills and Requirements 
• Bachelor of Science degree in Engineering.
• Professional Engineering license helpful.
• Professional commitment to sustainability is highly preferred.
• 7+ years’ experience and designing Mechanical/HVAC systems in high performance facilities.
• Proficient in computer use and software’s including, but not limited to; AutoCAD, Revit, Excel, Word, Bluebeam. 
• This position will interact directly with clients, a business acumen mindset is necessary.
• Background in engineering chilled water, hot water, steam and air handling plants as well as their distribution to serve facilities in the Science &amp; Technology, Commercial, Healthcare and Academic markets.
• Ability to use good judgement and make decisions with authority.
 Our Flexible &amp; Hybrid Work Culture At Vanderweil Engineers, we believe our best work is done when flexibility is offered. We know that work/life synergy is crucial to our employees, our flexible and hybrid work style allows team members to have the freedom to be innovative, and drive results their way. 
Our wellness programs are above and beyond, as our team members physical and behavioral health are a priority. 
We are an equal opportunity employer committed to diversity in the workplace.

Senior HVAC Engineer Science and Technology- Hybrid-Boston

<h3>Job Description</h3>
Job DescriptionDescription Verdox, Inc. is dedicated to reversing climate change through the development and deployment of advanced technology.&nbsp; The company’s proprietary electro-swing process, developed at MIT, enables carbon dioxide and other acid gasses to be captured with up to 80% less energy and 70% less cost than conventional approaches.&nbsp; Verdox is backed by institutional investors and based in Boston. Verdox seeks an Electrochemical Engineer to join our R&amp;D team.&nbsp; This position reports to the Chief Technology Officer (CTO). Key Responsibilities
<ul>
<li> Build and maintain electrochemistry R&amp;D infrastructure&nbsp;</li>
<li> Comprehensive modeling of electrochemical systems, optimization and sensitivity analysis, charge-rate/capacity optimization, capacitive EDL vs Faradaic electron transfer optimization. Analyze charge transfer, chemical reactions, flow patterns, etc.</li>
<li> Simulation of different operational conditions (charge-rate, gas composition, temperature, pressure) using developed models</li>
<li> Guide design and fabrication of electrochemical/chemical/mechanical systems – including electrochemical cells, stacking of cells, gas flow channel geometry, etc.</li>
<li> Assist in the development of experimental protocols for testing of electrochemical systems – study of cycle life and calendar life of electrodes and cells; multi-step models to study degradation processes; design of custom-made testing equipment</li>
<li> Data analysis for performance optimization – prototype to product translation</li>
<li> Overall engineering support</li>
</ul>
 Skills Knowledge and Expertise
<ul>
<li> PhD in Chemical Engineering, Mechanical Engineering, or equivalent, with a focus on electrochemical systems and energy storage</li>
<li> Laboratory experience of electrochemical techniques – CV, SWV, G/PITT, RDE, RRDE, CC/CV charge-discharge, EIS</li>
<li> Advanced quantitative EIS interpretation – equivalent circuit design; data fitting</li>
<li> Advanced quantitative understanding of electrochemical thermodynamics, kinetics and transport phenomena; interfacial phenomena; porous electrodes; double layer capacitance; charge transfer kinetics (with some quantum chemistry understanding), etc.&nbsp;</li>
<li> Advanced mathematical knowledge (analytical and numerical solutions of PDEs, linear algebra, etc.); Mathematical modeling of complex electrochemical/chemical/mechanical systems</li>
<li> Some experience in assembly of electrochemical cells (preferred) – fuel cells, flow cells, batteries, capacitors, etc.</li>
<li> Some understanding of organic chemistry and reaction mechanism</li>
<li> Excel, MATLAB (or equivalent), COMSOL (or equivalent), CAD software, data analysis, DigiElch (or equivalent), EIS simulation.</li>
<li> Ability to work in cross-functional teams</li>
<li> Strong oral and written communication skills</li>
<li> Comfortable working in an evolutionary and dynamic startup environment</li>
</ul>

Electrochemical Engineer

<h3>Job Description</h3>
Job DescriptionOur Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.Responsibilities
<ul>
<li>Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time</li>
<li>Build multi-modal foundation models for on-vehicle and offline applications</li>
<li>Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems</li>
<li>Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field</li>
<li>Provide technical mentorship to the broader group of ML developers at Zoox </li>
<li>Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments</li>
</ul>
Qualifications
<ul>
<li>BS, MS, or PhD degree in computer science or related field</li>
<li>Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines</li>
<li>Experience with modern computer vision techniques</li>
<li>Strong mathematical skills and understanding of probabilistic techniques</li>
<li>Fluency in C++ or Fluency in Python with a basic understanding of C++</li>
<li>Extensive experience with programming and algorithm design-Strong mathematics skills</li>
</ul>
Bonus Qualifications
<ul>
<li>Publications in your field (CVPR, ICCV, RSS, ICRA preferred)</li>
<li>Experience with autonomous robots</li>
<li>Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)</li>
<li>Experience with novel pipelines and architectures for convolutional neural nets&nbsp;</li>
<li>Experience with 3D data and representations (pointclouds, meshes, etc.)</li>
</ul>
Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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