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<h3>Job Description</h3>
Job DescriptionTech Unicorn / Engineering Manager with strong data engineering &amp; cloud experience / 100% remote This Jobot Job is hosted by: Christine McNamara Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $200,000 - $215,000 per year 
A bit about us:
 We’re seeking a strategic and hands-on Engineering Manager to lead our Data Engineering and Platform Engineering teams. This role is critical to scaling our infrastructure and data capabilities as we grow rapidly. You’ll be responsible for building high-performing teams, driving technical excellence, and partnering cross-functionally to deliver robust, scalable systems that power our software products. 100% remote. 
Why join us?
 
<ul>
<li> Medical, Dental, Vision</li>
<li> 401k with company match</li>
<li> Generous PTO / sick leave</li>
<li> 100% remote</li>
<li> Competitive compensation &amp; equity</li>
<li> Annual performance bonuses</li>
</ul>
 
Job Details
 Responsibilities 
<ul>
<li> Lead and mentor engineers across both Data and Platform teams, fostering a culture of ownership, innovation, and collaboration.</li>
<li> Define and execute the technical vision for data infrastructure, pipelines, and platform architecture.</li>
<li> Collaborate with Product, Engineering, and Business stakeholders to align engineering efforts with company goals.</li>
<li> Drive hiring, onboarding, and career development for team members.</li>
<li> Ensure high standards of code quality, reliability, and performance across systems.</li>
<li> Oversee the design and implementation of scalable data solutions and platform services.</li>
<li> Champion DevOps, observability, and automation best practices.</li>
</ul>
 Qualifications 
<ul>
<li> Proven experience managing engineering teams in a high-growth environment.</li>
<li> Strong technical background in data engineering, platform/infrastructure engineering, or both.</li>
<li> Experience with cloud platforms (AWS, GCP, or Azure), CI/CD, and container orchestration (e.g., Kubernetes).</li>
<li> Familiarity with modern data stack tools (e.g., Airflow, dbt, Spark, Kafka).</li>
<li> Excellent communication and leadership skills.</li>
<li> Ability to balance strategic thinking with hands-on execution.</li>
<li> Experience in B2B SaaS or product-led growth environments.</li>
<li> Background in security, compliance, or data governance.</li>
<li> Prior experience scaling engineering teams from early-stage to maturity</li>
</ul>
 Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

Engineering Manager (Data & Platform Engineering)

<h3>Job Description</h3>
Job Description
Location: Remote Compensation: $180–300/hour
Job Summary Provide on-call medical expertise, patient safety, and protocol adherence monitoring.
Key Responsibilities
<ul>
<li>Data review, SAE assessments</li>
<li>Protocol deviation oversight</li>
</ul>
Qualifications M.D. required, 5+ years clinical monitoring.
What We Offer Highly competitive hourly compensation to reward your expertise. Ultimate flexibility to balance with other commitments. Opportunities to contribute to cutting-edge pharma innovations from anywhere. Remote work with collaborative virtual tools for seamless engagement.
How to Apply To apply, visit our career portal and complete the quick and straightforward application process: enter your details, upload your CV, add your LinkedIn (optional), answer a few qualifying questions. 
Apply Now
 (Or visit:&nbsp;<a href="https://www.pharmasmarket.com/signup/talent" target="_blank">https://www.pharmasmarket.com/signup/talent</a>)

Fractional Medical Monitor - Clinical Development Oversight

<h3>Job Description</h3>
Job Description
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.

Engineer

<h3>Job Description</h3>
Job DescriptionAs a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty.&nbsp; This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space.In this role, you will:
<ul>
<li>Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models</li>
<li>Document experimental outcomes and drive towards deploying these models into Zoox robots</li>
<li>Visualize your data at the input and output to understand the issues</li>
<li>Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases</li>
</ul>
Qualifications
<ul>
<li>MS/PhD in Computer Science or related field</li>
<li>Experience with PyTorch or related ML frameworks</li>
<li>Experience deploying learned models into production</li>
<li>Excellent collaboration and teamwork skills with proven track record of working on large-scale problems</li>
</ul>
Bonus Qualifications
<ul>
<li>Prior experience in the AV or related space with joint detection and tracking models</li>
<li>Deep understanding of how to setup end-to-end training and evaluation processes</li>
</ul>
Compensation and BenefitsThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $197,000-$252,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.&nbsp;&nbsp; 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.
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 Machine Learning Engineer - Perception

<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. As a Staff Battery Engineer at WHOOP, you will play a key role in ensuring our battery systems' ongoing quality, reliability, and performance in the field. You will collaborate with cross-functional engineering teams, suppliers, and third-party testing labs to sustain our current generation of products, focusing on quality control, failure analysis, design updates, supplier qualification, regulatory compliance, and integrating learnings into advanced development projects.RESPONSIBILITIES
<ul>
<li>Lead quality control initiatives for current product lines, ensuring conformance to technical standards, safety regulations, and industry best practices.</li>
<li>Qualify and evaluate new suppliers to ensure they meet WHOOP’s quality, performance, safety, and regulatory standards.</li>
<li>Conduct field quality assessments and collaborate with field service teams to monitor and address battery-related issues.</li>
<li>Develop, audit, and document detailed test plans for battery systems and components, ensuring comprehensive coverage for field performance, durability, and safety.</li>
<li>Maintain a deep understanding of relevant regulatory certifications and testing requirements (e.g., UL, CE, IEC) to ensure product compliance.</li>
<li>Develop and execute verification, validation, and integration strategies for battery systems.</li>
<li>Conduct and participate in system-level reviews, DFMEA, and risk assessments, focusing on field reliability, battery performance and regulatory compliance.</li>
<li>Manage the battery subsystem team.</li>
<li>Up to 15% travel to contract manufacturers and suppliers.</li>
</ul>
QUALIFICATIONS
<ul>
<li>7+ years of experience in quality control, failure analysis, or sustaining engineering, particularly in battery-powered devices.</li>
<li>Strong understanding of Lithium Ion Cell design and battery chemistry. </li>
<li>Strong knowledge of regulatory certifications and testing requirements (e.g., UL, CE, IEC) for battery systems, and experience certifying products to these standards. </li>
<li>Expertise in design verification, validation, and testing for battery systems.</li>
<li>Proficiency in writing technical reports and documenting field quality findings, supplier assessments, regulatory compliance, and test evaluations.</li>
<li>Strong communication skills and proven ability to communicate battery-related topics in cross-functional settings. </li>
<li>Master’s degree in Chemical, Mechanical, electrical engineering, systems engineering, or related field.</li>
<li>Experience with rechargeable battery systems in wearables, consumer electronics, or related industries preferred. </li>
<li>Experience in managing supplier relationships, and auditing new suppliers and alternate battery technologies preferred. </li>
<li>Experience mentoring or leading technical teams preferred. </li>
<li>Experience with scripting, data engineering, and visualization using Python or other relevant tools&nbsp;preferred. </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 $165,000-$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.

Staff Battery Engineer

<h3>Job Description</h3>
Job DescriptionThe Company:Tutor Intelligence is a startup building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built&nbsp;in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.The Role:In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.Our Culture:We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.Responsibilities:
<ul>
<li>Train, fine tune, and deploy visual and language foundation models across our stack</li>
<li>Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential</li>
</ul>
Skills Needed
<ul>
<li>Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.</li>
<li>Strong software skills</li>
<li>Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations</li>
<li>General robotics knowledge &amp; experience</li>
</ul>
All offers include generous equity, fully covered health + dental, and unlimited PTO.

Robotics Machine Learning Engineer

<h3>Job Description</h3>
Job DescriptionField AI&nbsp;is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. At Field AI, we are moving beyond single-agent autonomy—scaling AI coordination across fleets of robots in unstructured, high-risk environments. Our work in Field Foundation Models™ (FFMs) is enabling multi-robot decision-making, strategic coordination, and decentralized intelligence at unprecedented levels. From large-scale robotic deployments in complex environments to real-time tactical decision-making, we are pioneering multi-agent AI that is explainable, risk-aware, and field-ready. We are seeking a Multi-Robot Intelligence Research Engineer to design and implement scalable algorithms for coordination, decentralized control, and game-theoretic decision-making in multi-robot systems. This role is at the intersection of robotics, AI, and mathematical game theory, pushing the boundaries of large-scale, real-world autonomy.What You Will Get To Do
<ul>
<li>Develop fundamental algorithms for multi-agent coordination (including differentiable game theory, mean-field control, and decentralized optimization) to enable fleets of autonomous robots to operate in real-world, high-stakes environments.</li>
<li>Design computationally tractable formulations of multi-agent Nash equilibria, Stackelberg games, and cooperative decision-making strategies, ensuring robust and scalable decision-making across heterogeneous robotic teams.</li>
<li>Build predictive models for multi-agent interaction dynamics, leveraging graph-based learning and control-theoretic formulations to drive efficient coordination in dynamic, adversarial, and uncertain settings.</li>
<li>Develop distributed inference and control policies using neural PDEs, mean-field game-theoretic methods, and scalable stochastic optimization for real-time at-scale robotic interaction.</li>
<li>Bridge theory with deployment—integrate multi-agent planning, auction-based task allocation, and decentralized multiagent reinforcement learning (MARL) into hardware-in-the-loop robotic systems operating at scale.</li>
<li>Push the limits of explainability in multi-agent AI, ensuring tractability, convergence guarantees, and real-world feasibility while maintaining risk-aware and uncertainty-resolving decision-making.</li>
<li>Collaborate across teams to transition multi-agent models from high-fidelity simulations to real-world deployments, working alongside robotics engineers, AI/ML researchers, and field roboticists to ensure seamless real-world operation.</li>
</ul>
What You Have
<ul>
<li>Ph.D. in Applied Mathematics, Game Theory, Control Theory, Computer Science, or a related field, with expertise in multi-agent decision-making and coordination algorithms.</li>
<li>Deep understanding of game-theoretic methods—including differential games, Nash equilibria, mean-field games, and Stackelberg equilibria—with a focus on scalability and tractability.</li>
<li>Experience with multi-agent RL (MARL) and distributed optimization for large-scale robotic coordination in imperfect information settings.</li>
<li>Hands-on experience implementing multi-agent algorithms in real-time robotic or AI-driven systems, with exposure to hardware constraints, real-world latency, and stochastic disturbances.</li>
<li>Proficiency in Python, C++, or Julia, with experience in optimization libraries (e.g., CVXPY, Gurobi, JAX), reinforcement learning frameworks (e.g., RLlib, Acme), and multi-robot simulators.</li>
<li>Experience working with large-scale robotic coordination (e.g., drone swarms, autonomous fleets, or industrial automation systems) is a strong plus.</li>
<li>Ability to transition theoretical insights into scalable, field-deployable systems, ensuring robustness under uncertainty and adaptability to real-world constraints.</li>
</ul>
Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.&nbsp; Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.&nbsp; Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

1.2 Multi-agent AI Research Engineer: Scalable Robot Fleet Coordination

<h3>Job Description</h3>
Job DescriptionISEE is seeking a full-time Robotics Engineer to join our team. The ideal candidate has several years of experience gained by working in industry, an academic research lab, or through internships. Role responsibilities include:-Develop, test, deploy and a maintain software, both core algorithms and infrastructure, for our robotic arm based trailer coupling solution.-Troubleshoot issues hands-on on the arm. Qualifications:-Degree in Robotics, Computer Science, or a related field-Hands-on experience with developing and deploying algorithms on real robots-Experience with modern robotics development frameworks (e.g. ROS)-Strong C++ and/or Python skills-Passionate about real-world robotics solutions.-Strong presentation and communication skills. Preferred-Publication record in top-tier conferences in Robotics and related fields.-3+ yrs industrial experience in deploying robotics solutions in real-world scenarios.
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.

Robotics Engineer - Robotic Arm

<h3>Job Description</h3>
Job DescriptionTutor Intelligence is looking for an engineer to implement and evaluate motion-planning, trajectory optimization, and control solutions for our robot arms. With a growing fleet of robots deployed, the value of improving our motion plans in order to operate more efficiently is growing as well. We seek someone to bolster our team with an explicit focus on problems related to robot motion. We are looking for someone with domain expertise in planning and optimization for multi-dof robots, with a broad mandate to:* Generate collision free trajectories under a range of inputs* Optimize the speed and efficiency of our robotsRequirements
<ul>
<li>Experience with optimizers (IPOPT, SNOPT, etc.)</li>
<li>Experience with c++ &amp; python</li>
<li>Experience with planning and optimization for multi-dof robots (arms, quadrupeds, AVs, etc)</li>
<li>Strong software skills</li>
</ul>
Nice to have
<ul>
<li>Research experience with robot motion</li>
<li>Relevant publications</li>
</ul>
All offers include generous equity, fully covered health + dental, and unlimited PTO.

Motion Planning Engineer (Robotics)

<h3>Job Description</h3>
Job DescriptionWe are seeking a highly skilled and detail-oriented Commissioning Engineer to join our team. As a Commissioning Engineer, you will play a crucial role in ensuring the successful installation, startup, and testing of mechanical, electrical, plumbing, and control systems for complex projects. This is an exciting opportunity to be involved in all stages of capital construction project delivery and ensure that all systems meet the required specifications, quality standards, and safety regulations. Key Responsibilities:Oversee and execute the commissioning process of MEP and control systems for projects.Conduct thorough inspections, testing, and troubleshooting of equipment and systems to ensure they meet design specifications.Develop and implement detailed commissioning plans, including testing schedules, procedures, and required documentation.Develop system specific Pre-Functional Checklists and Functional Performance Test protocols.&nbsp;Assist with design review of MEP systems.&nbsp;Assist with coordination of field activities and work alongside technicians and trade partners during the construction and testing phases.Perform functional performance tests to verify system performance against design parameters.Troubleshoot and resolve any issues during the commissioning process to ensure systems operate efficiently and safely.Prepare and review test reports, commissioning documentation, and final project handover packages.Ensure compliance with relevant codes, standards, and safety regulations.Assist the project manager with commissioning deliverable and activity tracking.Collaborate with project managers, engineers, and other stakeholders to ensure smooth project execution and timely delivery.Maintain detailed records of commissioning activities and results for future reference. Qualifications:Bachelor’s degree in Engineering (Electrical, Mechanical, or related field).Proven experience as a Commissioning Engineer, preferably in life sciences, semiconductors, or other mission critical industries.Strong knowledge of electrical, mechanical, and control systems.Familiarity with commissioning procedures, testing methodologies, and industry standards.Proficiency in reading and interpreting technical drawings and specifications.Excellent troubleshooting, problem-solving, and analytical skills.Ability to work independently and as part of a team in a fast-paced environment.Strong communication skills, both written and verbal.Attention to detail and a strong commitment to safety and quality.Ability to travel to job sites as required, including travel out of state, as needed.&nbsp; Preferred Skills:Certifications in relevant fields (such as CCP, CxA, BCxA, LEED, PMP, etc)Experience with specific commissioning/construction software and tools such as Cx Alloy, Kneat, Procore, ACC, Bluebeam, etcKnowledge of industry-specific standards and regulations. About CAICAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready?Our approach is simple; we put the client’s interests first, we do not stop until it is right, and we will do whatever it takes to get there.As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally:We act with integrityWe serve each otherWe serve societyWe work for our future With employee ownership, one person’s success is everyone’s success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. BenefitsOur full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company.#LI-MV1 #MISSIONCRITICALAverage base salary range - not including benefits, and potential overtime and/or Cost of Living Adjustment. CAI Benefits:•Comprehensive Health Insurance coverage•24 days of Paid Time Off•ESOP/401K - 15% Company Contribution (US Only)•Company paid Life Insurance•Company paid Long Term DisabilityWe are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company.&nbsp;We pledge that CAI will be operated in a way that is fair and equitable to all – our employees, our customers, and the broader society.&nbsp;This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO).&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.

1,174 Engineering Jobs