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<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 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 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.

Building Commissioning 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: As a Staff State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability. Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.What you'll do:
<ul>
<li>Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.</li>
<li>Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.</li>
<li>Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.</li>
<li>Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.</li>
<li>Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.</li>
<li>Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.</li>
</ul>
Required qualifications:
<ul>
<li>Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience.</li>
<li>Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.</li>
<li>Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).</li>
<li>Proficient in C++11 or newer in real-time environments.</li>
<li>Comfortable working in Linux, with experience using standard command-line tools and scripting.</li>
<li>Strong written and verbal communication skills with a collaborative mindset.</li>
<li>Demonstrated success working in fast-paced development cycles and delivering high-quality results.</li>
</ul>
Preferred qualifications:
<ul>
<li>Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions.</li>
<li>Exposure to visual odometry or computer vision-based navigation approaches.</li>
<li>Experience optimizing code for performance on compute-constrained platforms.</li>
<li>Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs).</li>
<li>Experience transitioning navigation solutions from research into production environments.</li>
</ul>
#LI-SM1#LD 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.

Staff Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran)

<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; Shield AI’s Hivemind autonomy team is building an SDK that enables resilient, assured navigation solutions for autonomous systems operating in contested environments. We are looking for a hands-on technical leader to manage and grow our Navigation and State Estimation team. You'll lead a team of 6+ engineers developing state-of-the-art algorithms for GPS-denied navigation, fusing your expertise in state estimation, PNT technologies, and C++ software development to deliver high-impact autonomy capabilities.What You'll Do:
<ul>
<li>Lead and mentor a high-performing team delivering robust navigation and state estimation solutions for autonomous aerial systems.&nbsp;</li>
<li>Drive the technical roadmap, balancing near-term deliveries with long-term innovation.&nbsp;</li>
<li>Architect and review solutions in state estimation, sensor fusion, inertial and vision-aided navigation.&nbsp;</li>
<li>Maintain high standards of C++ software quality, system validation, and integration performance.&nbsp;</li>
<li>Collaborate with cross-functional teams to ensure successful simulation, HITL, and flight test validation.&nbsp;</li>
<li>Support hiring, team growth, career development, and external technical representation.&nbsp;</li>
</ul>
Required Qualifications:
<ul>
<li>Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, or a related field (or equivalent work experience), typically with a minimum of 10 years of related experience; 9 years with a master’s degree; or 7 years with a PhD.</li>
<li>Experience in modern C++ (C++11 or newer) with a strong software engineering foundation.&nbsp;</li>
<li>Experience developing state estimation, object tracking or similar technologies</li>
<li>Experience with at least one of Kalman filtering, graph optimization, sensor fusion, and inertial navigation systems.&nbsp;</li>
<li>Demonstrated success leading engineering projects or small technical teams.&nbsp;</li>
<li>Experience delivering autonomy software for robotics, aerospace, or defense platforms</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with VIO, SLAM, factor graph optimization (gtsam, Ceres) for GPS-denied navigation.&nbsp;</li>
<li>Background in sensor integration (IMU, GPS, magnetometers, barometers, visual sensors).&nbsp;</li>
<li>Familiarity with DoD program requirements, operational testing, and autonomy system assurance.&nbsp;</li>
<li>Prior experience managing cross-disciplinary teams in agile environments.&nbsp;</li>
</ul>
Additional Information:
<ul>
<li>Candidates may complete a technical evaluation, including a design and coding review, as part of the interview process.</li>
</ul>
#LI-ED1#LD 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.

Sr. Manager - Navigation and State Estimation Engineering (R3035)

<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 DescriptionJob descriptionSG is looking for a Level 1 Controls Field Engineer. This candidate that is highly motivated, well organized, a good decision-maker that works well unsupervised or with a team. The ideal candidate will have GE ControlsST experience with outstanding customer service skills, strong computer literacy, and superb communication skills. Candidates must also be able to perform the necessary requirements outlined below to be considered for this position. The corporate office is located in Southfield, MI; however, this position is fully remote.________________________________________________________________________________The successful candidate will work closely with customer operations and maintenance managers, I&amp;C engineers, and SGES Field Installation Technicians. Interpret drawings &amp; schematics, access ToolboxST configurations and assist with migrations, rip &amp; replaces, and the subsequent commissioning of new components.Requirements:Bachelor’s Degree in Electrical or Mechanical and/or 3 years of experience without formal degree, in power plant maintenance, turbine generator maintenance, or power plant equipment installation/ commissioning.Successful completion of required training programs is a minimum requirement.Demonstrated progressive, responsible experience with various types of turbine generator equipment and site accountabilities is required.Desired SkillsProficient with Microsoft Suite (Word, Excel, Outlook, PowerPoint).Experience with Mark V, Mark VI, VIe controls. Proficient with GE ControlST/ToolBoxST.Experience troubleshooting control system and/or HMI issues.Experience commissioning new control systems after retrofits, upgrades, and rip &amp; replaces.Siemens and/or Mitsubishi controls software a plus.Professional demeanor and appearance, for you will be working in/around customer control rooms.Be able to lift 50 lbs.Must be able to work alone, while remaining a team player. Positive, well-organized, proactive force dedicated to customer satisfaction. Courteous and cordial to our customers.Be able to pass a background check and drug screening.Job Type: Full-timePay: $50.00 - $70.00 per hourBenefits:Flexible scheduleReferral programExperience level:1 yearSchedule:WeekdaysWeekends as neededWork Location: On the road
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.

Field Instrumentation Tech

<h3>Job Description</h3>
Job Description
Are you highly motivated, hard-working, and seeking to join a growth-focused consulting &amp; engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex!
Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us.
Civil/Environmental Engineering Co-op Job Description
Apex Companies LLC (Apex) is an award-winning multidisciplinary engineering and consulting firm. Apex provides a broad range of consulting, engineering, and compliance services across water, environment, ESG and resiliency, health and safety, compliance and assurance, and infrastructure. Known for our technical excellence, commitment to quality, and reliable and agile operations, we consistently deliver high-impact results for our clients, and as a firm remain committed to shaping a safe, sustainable, and equitable future. 
Apex has offices nationwide with 5 regional offices located in Quincy MA, Woburn MA, Hyannis MA, Glastonbury CT, and Providence RI. Apex has received over a dozen ACEC/MA Engineering Excellence Awards since 2016. Locally, Apex primarily supports municipal clients with projects relating to: 
<ul>
<li>Drinking Water </li>
<li>Wastewater </li>
<li>Stormwater </li>
<li>Traffic &amp; Transportation </li>
<li>Construction Management </li>
<li>Site Civil Engineering </li>
<li>Emergency Management Services </li>
<li>Environmental </li>
<li>Infrastructure Asset Management </li>
<li>Owner's Project Management (OPM) </li>
</ul>
Work Areas/Positions:  5 
<ul>
<li>4 in our Quincy, MA office
<ul>
<li>3 to support the water/wastewater group</li>
<li>1 to support the transportation group </li>
</ul>
</li>
<li>1 in our Woburn, MA office 
<ul>
<li>1 to support the water/wastewater group </li>
</ul>
</li>
</ul>
Co-op students typically support a project team with design, permitting, and construction administration activities. Co-op work primarily consists of office work, but may also include a field work component. The type of work and extent of responsibility depends on the aptitude of the student but is also substantially affected by the time of year and current project schedule. Field work may include GPS and/or construction observations. 
Job Requirements:
<ul>
<li>Valid driver's license. </li>
<li>Ideally, interested candidates should either be currently enrolled in or have completed the following civil engineering or equivalent courses: </li>
<li>CIVE 2221. Statics and Solid Mechanics </li>
<li>CIVE 2260. Materials for the Built Environment </li>
<li>CIVE 2261. Lab for CIVE 2260 </li>
<li>CIVE 2334. Environmental Engineering: Principles, Technology, and Sustainability </li>
<li>Excellent written and verbal communication skills. </li>
<li>Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook, etc.) </li>
<li>Experience in AutoCAD and GIS mapping software (Esri products) preferred. </li>
<li>Must possess solid technical and problem-solving skills. </li>
</ul>
Apex Job Title: Intern- Field
Req ID: 10747
We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact <a href="mailto:Talent@apexcos.com" target="_blank">Talent@apexcos.com</a> or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer
TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Co-Op/Intern

<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. About the Job We are looking for a Research Engineer for our humanoid manipulation efforts. In this role, you’ll work at the intersection of robotics research and applied engineering—building, testing, and refining manipulation capabilities that will accelerate autonomous control and loco-manipulation of humanoids. You’ll collaborate closely with engineers, research scientists, and product leads to conceptualize and design novel manipulation strategies, develop experimental platforms, and deliver impactful systems that directly feed into Field AI’s robot learning pipelines. Crucially, you will also play a key role in pushing the frontiers of development of robotics foundation models—designed to be embodiment agnostic, with your initial efforts focused on humanoid platforms. This role is about steering the frontiers of robotics research toward practical, real-world use cases, ensuring that breakthroughs in humanoid manipulation translate into scalable autonomy for robots of diverse forms.What You’ll Get To Do
<ul>
<li>1. Advance Humanoid Manipulation Research &amp; Development</li>
<li>Drive humanoid manipulation projects from ideation to deployment.</li>
<li>Design, prototype, and evaluate manipulation strategies across diverse tasks.</li>
</ul>
 
<ul>
<li>2. Build Systems that Bridge Research &amp; Deployment</li>
<li>Translate research insights into working robotic systems for real-world use.</li>
<li>Ensure systems are robust, reproducible, and aligned with data-collection needs.</li>
</ul>
 
<ul>
<li>3. Drive Robotics Foundation Model Development</li>
<li>Contribute to large-scale data collection and learning pipelines powering foundation models.</li>
<li>Ensure model development remains embodiment agnostic, enabling transfer across diverse robotic platforms.</li>
<li>Collaborate with research scientists to integrate manipulation data into scalable robot learning systems.</li>
</ul>
 
<ul>
<li>4. Collaborate Across Disciplines</li>
<li>Partner with mechanical/electrical engineers on robot hardware integration.</li>
<li>Work with teleoperators to refine interfaces and improve manipulation outcomes.</li>
<li>Act as a bridge between autonomy research and applied robotics.</li>
</ul>
 
<ul>
<li>5. Rapidly Iterate &amp; Deliver</li>
<li>Prototype quickly and run experiments in the field.</li>
<li>Balance research exploration with fast, tangible progress for immediate goals.</li>
</ul>
What You Have
<ul>
<li>Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or related field.</li>
<li>2+ years of hands-on experience in robotics manipulation (academic or industry).</li>
<li>Expertise in robot kinematics, dynamics, and control, particularly for manipulation.</li>
<li>Strong problem-solving mindset, able to thrive in fast-moving, collaborative teams.</li>
<li>Strong software development skills in C++ and/or Python, with experience in robotics middleware (ROS, ROS 2, or similar).</li>
<li>Track record of implementing and evaluating robotic systems in real-world environments.</li>
<li>Passion for tackling challenging problems andthe courage to challenge the status quo.</li>
</ul>
The Extras That Set You Apart
<ul>
<li>Experience with humanoid robots or multi-fingered robotic hands.</li>
<li>Prior work in learning-based manipulation (imitation learning, reinforcement learning, etc.).</li>
<li>Familiarity with teleoperation systems and human-robot interaction.</li>
<li>Publications or open-source contributions in robotics conferences/journals.</li>
<li>Experience with large-scale data collection and dataset management.</li>
<li>Passion for bridging research frontiers with practical, field-ready robotics.</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.

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