field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

city

state

<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 - $200,000 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 DescriptionB. F. Saul Company Hospitality Group is a subsidiary of the largest private real estate company in the Washington, D.C. area, and has been in operation for over 130 years. The Hospitality Group operates a portfolio of more than 20 business class hotels with top brands from Intercontinental Hotel Groups, Marriott International, Hilton, and Best Western Hotels: along with The Watermark Hotel, The Hay-Adams Hotel, and Perch Putt. These properties are operated by a team of more than 1,000 enthusiastic hospitality professionals!&nbsp; Look for a new career with a new company? We are seeking an experienced engineering professional with a passion for hospitality and leadership as our new full-time Chief Engineer to lead our Engineering Department and ensure the safety, efficiency, and overall excellence of the Hampton Inn Washington by Hilton Washington-Dulles Int'l Airport South. This position as Chief Engineer is responsible for overall engineering operations.&nbsp; You will use your leadership skills to drive revenue, maximize profit and ensure quality. Effective management of assigned staff to ensure achievement of overall financial results, guest satisfaction and positive employee relations.&nbsp; Come join the great team at Hampton Inn Washington by Hilton Washington-Dulles Int'l Airport South!**Salary + Incentive Eligible** B. F. Saul Company Hospitality Group invites you to take your career to the next level! As a leading Owner and Management Company in the Hospitality Industry, our commitment to our team is in our “One Team!” values. Our integrated approach in obtaining top talent ensures key players who are committed to their professional and personal development represent our hotels, have a sound understanding of the industry, and possess significant attributes to enhance our culture. Joining our team says you are committed to guest satisfaction and promise to uphold the highest level of integrity. B. F. Saul Company Hospitality Group One Team philosophy. In addition, encompass the ability to bring to life the company’s mission statement and core values which will further support brand and company initiatives and provide strong guidance to our valued internal guest.Responsibilities
<ul>
<li>Engineering: Understand preventive maintenance, routine inspections, guest service recovery, asset protection, procurement guidelines and capital expenditures.&nbsp; Learns the impact of maintaining company assets within budget guidelines and how it impacts the overall financial success of the hotel property.</li>
</ul>
 
<ul>
<li>Identifies concerns and provides repair/maintenance solutions:Assesses and evaluates functionality of all equipment and assets. Perform and/or supervise maintenance work as needed or scheduled to lengthen the life and usefulness of items so long term savings can be realized. Keep the property well maintained, equipment serviced and in good repair.</li>
</ul>
 
<ul>
<li>Helps control expenses:&nbsp; Responsible for proper use of all equipment and adheres to cost controls to reduce expenses and waste.&nbsp; Seeks and implements cost saving measures and efficient purchasing strategies in order to meet/exceed budget for expenses.</li>
</ul>
 
<ul>
<li>Management/Supervisory: Effectively manage a department and team, resulting in optimum financial success, guest satisfaction and employee relations and completion of all hotel initiatives. Monitor and manage all payroll/labor expenses. </li>
</ul>
 
<ul>
<li>Follows B. F. Saul Company Hospitality Group’s and Hampton Inn's standard operating procedures:&nbsp; Is knowledgeable in all engineering SOP’s, and sets the example for others by following all B. F. Saul Company Hospitality Group and brand requirements.&nbsp;</li>
</ul>
 
<ul>
<li>Provides on-the-job-training: Identifies training opportunities, and provides one-on-one training in specific tasks or SOP’s as appropriate.</li>
</ul>
 
<ul>
<li>Works collaboratively with all others:Supports all departments to ensure excellent customer service as it relates to maintenance and equipment issues.&nbsp; Completes all assigned duties within or outside the normal scope of responsibilities.</li>
</ul>
 
<ul>
<li>Works safely:&nbsp; Maintains a clean and safe work environment in compliance with B. F. Saul Company Hospitality Group, brand, local, state and federal regulations. Follows all B. F. Saul Company Hospitality Group procedures for guest/associate incidents. Knowledgeable of hotel emergency procedures.</li>
</ul>
&nbsp;
<ul>
<li>Self/Workload Management: Must have high attention to detail, good communication skills, leadership ability and excellent problem solving skills. Must have high level of technical expertise as it relates to the position. Must have excellent organization skills, a high degree of creativity to facilitate efficient problem solving. Must be able to manage multiple priorities and have high attention to detail. Must be able to work in an environment with frequent interruptions and tight deadlines</li>
</ul>
Qualifications:
<ul>
<li>REQUIRED SKILLS AND EXPERIENCE&nbsp;</li>
<li>Education:&nbsp; High school diploma or GED required.&nbsp; College degree or equivalent experience preferred.&nbsp; CPO, HVAC, boiler, Serve Safe certification desired, or the ability to obtain certification based on policy guidelines.</li>
<li>Experience/Knowledge/Skills/Abilities:&nbsp; 3-5+ years of maintenance experience required, preferably in the hotel industry.&nbsp; Must be detail oriented, have ability to communicate well with all levels within and outside the organization, and be able to problem-solve with employees and guests.&nbsp; Must be able to manage multiple priorities in a fast-paced environment.</li>
<li>Physical Requirements:&nbsp; Ability to lift, push, and pull up to 100 pounds consistently throughout shift.</li>
</ul>
Benefits:
<ul>
<li>Well-Being Benefits</li>
<li>Health Insurance</li>
<li>Dental &amp; Vision Insurance</li>
<li>Short &amp; Long Term Disability</li>
<li>Vacation Policy</li>
<li>Salary + Incentive Eligible</li>
</ul>
 
<ul>
<li>Long Term Planning:</li>
<li>401(k) Retirement Program</li>
<li>Paid Life Insurance</li>
<li>Tuition Reimbursement</li>
</ul>
 
<ul>
<li>Team Member Programs:</li>
<li>Our Big 3 Mission Statement Leaders of the Month/Year</li>
<li>Annual Performance Appraisals and Wage Increase Opportunities</li>
<li>Annual Team Member Banquets</li>
<li>Annual Team Member Engagement Survey</li>
<li>Discounted Room Rates for Team Members, Family and Friends</li>
<li>Complimentary Room Stays</li>
<li>Weekly Payroll</li>
</ul>
B. F. Saul Company Hospitality Group is proud to be an equal opportunity workplace dedicated to pursuing and hiring diverse professionals. Equal Opportunity Employer/Veterans/Disabled
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.

Chief Engineer - Hampton Inn Washington by Hilton Washington-Dulles Int'l Airport South

<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 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,&nbsp;X, Instagram, and YouTube.&nbsp; JOB DESCRIPTION:The Future Concepts team plays a critical role in shaping next-generation technical concepts and solutions for Hivemind (HM) use across multiple domains. Working closely with the Architecture team to synchronize technical roadmaps, as well as partnering with Product teams to build out early-stage product concepts, Future Concepts Engineers drive innovation by blending creativity with robust technical expertise. By contributing to white papers, proposals, and technical presentations, this role ensures that HM remains on the cutting edge of advanced technologies and customer-driven use cases. If you thrive on collaboration, enjoy engaging with customers, and possess a strong foundation in engineering, you’ll find a dynamic environment here for developing transformative solutions that push the boundaries of HM’s evolving portfolio.WHAT YOU'LL DO:
<ul>
<li>Build technology driven future concepts for Hivemind applications in air, space, land and sea.</li>
<li>Apply engineering rigor to concepts aligning our technology roadmap with new and evolving applications.</li>
<li>Generate and deliver technical briefings tailored to internal and external engagement needs.</li>
<li>Contribute to white papers, Requests for Information (RFIs), contract reviews, and proposals.</li>
<li>Collaborate with the engineering team to address customer feedback and drive product improvements.</li>
<li>Visit customers on-site globally to support pre-sales activities, gathering insights for future concepts.</li>
</ul>
REQUIRED QUALIFICATIONS:
<ul>
<li>Bachelor’s degree in Engineering, Computer Science, or a related field.</li>
<li>7+ years of industry experience.</li>
<li>Strong technical writing skills and demonstrated ability to produce high-quality documentation.</li>
<li>Track record of developing new technical capabilities.</li>
<li>Hands-on technical background in conceptualizing and building systems.</li>
<li>Excellent problem-solving and analytical skills for handling complex technical challenges.</li>
<li>Strong communication and interpersonal skills for engaging with diverse stakeholders.</li>
</ul>
PREFERRED QUALIFICATIONS:
<ul>
<li>3+ years of experience in advanced technology development</li>
<li>3+ years of experience working in a startup environment, demonstrating adaptability and initiative.</li>
<li>Experience serving as an advanced concepts engineer or lead.</li>
<li>Experience in the aviation, space, maritime, autonomy, or robotics industry.</li>
<li>Active or previously held USG Security Clearance (highly valued but not required).</li>
</ul>
LD#AC-LI1 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, Future Concepts (R3521)

<h3>Job Description</h3>
Job DescriptionLong Wall Company was created in 2025 to accelerate missile defense technology for the U.S. and our allies. Building on the RS1 and GS0 launch systems, Long Wall develops containerized, mass-producible missile defense systems and offers rapid, low-cost flight testing. We believe that the future of global security and stability require defensive technology that is lower cost, higher performing, better tested, and more broadly distributed than is possible today. Join us. What we look forMission-Driven Problem Solvers. The aerospace frontier demands ingenuity. We want engineers who approach challenges with curiosity, embrace failure as a learning opportunity, and stay focused on delivering the best solution for the mission. Total Ownership. We seek engineers who take full responsibility for delivering flight-ready work while recognizing that no one succeeds alone. The best engineers make their teammates better, knowing that complementary skills create force multiplication and drive mission success. Fluid Components Engineer&nbsp; Aerospace components require operation in extreme environments – high temperature, low temperature, high pressure, high vibration, high shock – and they must operate with absolute certainty. Whether it be a separation mechanism between stages or a solenoid valve controlling engine operation, Long Wall designs, produces, and tests the majority of its components in house, and requires top talent to do so.&nbsp;&nbsp; Responsibilities
<ul>
<li>Total ownership of Long Wall components, from ideation through design, manufacturing, qualification, and field support.&nbsp;</li>
<li>Ensuring launch vehicle, interceptor, and ground system design utilizing components properly consider the environmental and performance bounds of those components.&nbsp;</li>
<li>Mentorship of less experienced engineers and coworkers, both within and without the components group, to ensure all have the correct toolset for design and use of components at Long Wall.&nbsp;</li>
</ul>
Basic Qualifications
<ul>
<li>B.S. in any engineering discipline from an accredited university.&nbsp;</li>
<li>5+ years of industry experience in a related design or development role.&nbsp;</li>
</ul>
Preferred Skills and Experience
<ul>
<li>Experience with aerospace component technologies, including spring-energized seals, bearings, and force balances, as well as test and qualification best practices.</li>
<li>Proficiency in CAD design software (e.g., NX, CATIA, CREO/Pro-E).</li>
<li>Strong analytical capability using hand calculations and finite element analysis tools (e.g., ANSYS).</li>
<li>Familiarity with solenoid coil design processes and software (e.g. Maxwell).</li>
<li>Firm understanding of manufacturing processes, GD&amp;T, and DFM principles.</li>
<li>Ability to develop scripts in Python or MATLAB for automation and analysis.</li>
<li>·Strong understanding of compressible/incompressible flow dynamics and thermodynamics.</li>
<li>Demonstrated ability to write and execute test procedures for complex hardware operations.</li>
</ul>
Additional Requirements
<ul>
<li>Ability to sit or stand for extended periods of time</li>
<li>Ability to use a computer to complete assignments</li>
<li>Ability to communicate with individuals and groups in person, by phone and telepresence</li>
<li>Ability to pick up to 12lbs</li>
<li>While performing the duties of this job, the employee will typically work in an office environment</li>
</ul>
Pay Range: Components Engineer/Level III: $120,000.00 - $148,000.00/per year Components Engineer/Senior: $148,000.00 - $177,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. This is the lowest to highest compensation range we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.&nbsp;&nbsp;&nbsp;&nbsp;In addition tobase pay and equity, we offer:&nbsp;Heavily employer-subsidized medical, dental, and vision insurance plans&nbsp;Company paid life insurance and LTD coverage&nbsp;4% 401k match&nbsp;Student loan repayment assistance program&nbsp;&nbsp;Paid parental leave&nbsp;Family planning assistance program&nbsp;Company paid financial wellness program&nbsp;Paid time off for non-exempt employees and flexible vacation policy for exempt employees&nbsp;&nbsp;ITAR RequirementThis position requires access to information protected under US export control laws, including the International Traffic in Arms Regulations and/or the Export Administration Regulations.&nbsp; As such, US person status (including US citizens,&nbsp;U.S.&nbsp;permanent residents,&nbsp;individuals granted U.S. asylum status, or individuals admitted in U.S. refugee status)&nbsp;is a required qualification for this position.Equal Opportunity EmployerWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability, genetics, or citizenship status (when otherwise legally authorized to work and access export-controlled data) and will not be discriminated against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants of all ages.

Fluid Components 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 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,&nbsp;X, Instagram, and YouTube.&nbsp; Job Description:The Senior Manager of Manufacturing Engineering will lead the industrialization of autonomous defense systems - building the production foundation that delivers cutting-edge AI aircraft to those who protect us. This role demands exceptional leadership and execution: if you're able to architect scalable production systems, implement breakthrough manufacturing technologies, and drive teams creating the next generation of unmanned systems, this opportunity will define your career. Ready to lead the manufacturing systems that will power the future of autonomous defense technology?What You'll Do:
<ul>
<li>Define, lead and develop a high-caliber manufacturing engineering team while operating with full autonomy to set direction, prioritize initiatives, and deliver results in a fast-paced environment.</li>
<li>Scale V-BAT production system from limited production to industrial capacity, dramatically increasing throughput while exceeding aerospace quality standards.</li>
<li>Bring our next-generation, jet-powered aircraft into production—shaping everything from layout and flow to tooling, training, and takt time.</li>
<li>Drive transformational continuous improvement delivering measurable impact across efficiency, cost reduction, and quality enhancement for critical defense applications.</li>
<li>Create seamless integration between advanced engineering and manufacturing execution—ensuring every engineering innovation translates effectively to production.</li>
<li>Pioneer next-generation manufacturing technologies that scale quickly, effectively and with zero-defect quality requirements.</li>
</ul>
Required Qualifications:
<ul>
<li>Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, or related field.</li>
<li>10+ years of manufacturing engineering experience with at least 5 years in senior leadership roles operating independently.</li>
<li>Track record of building teams and executing complex initiatives with minimal oversight in a start-up/rapid growth manufacturing environment.</li>
<li>Demonstrated track record of independently driving substantial manufacturing improvements, influencing peers and achieving world-class ‘Design for Manufacture’.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Master's degree in Engineering or Manufacturing.</li>
<li>Background in aerospace manufacturing, advanced composites, or precision machining.</li>
<li>Experience working within a technology start-up environment during hyperscale periods</li>
</ul>
#LI-JM1#LE&nbsp;&nbsp; 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.

Director of Manufacturing Engineering (R3177)

<h3>Job Description</h3>
Job DescriptionKapta Space, a VC-funded early-stage startup in Seattle, WA, is breaking new ground in Geospatial Intelligence. &nbsp;Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as well as enabling advanced defense missions such as target tracking. Kapta is seeking a Senior Antenna Engineerto lead the development of our radar antenna systems. The antenna engineer will be responsible for design, build and test of high frequency and millimeter wave electronically scanned antennas in collaboration with diverse engineering disciplines. This position requires a strong, self-driven engineer capable of working independently in a fast-paced, multi-disciplinary environment. The candidate must have a demonstrated capability to apply advanced technical principles, theories and concepts. The ideal candidate must have the drive and experience to complete projects independently and on time. You Are the Right Fit for the Role at Kapta Space If:
<ul>
<li>You are able to work as a member of a multi-disciplinary team in creating radar system and antenna requirements </li>
<li>You have previously designed high-performance antenna systems and microwave circuits for use in c-SWaP-constrained systems</li>
<li>Can develop tools for antenna and RF performance analysis within the larger radar system</li>
<li>You are able to fabricate and test antenna systems and integrated radars. Also, you are comfortable working with vendors and suppliers to meet performance and requirements</li>
<li>Test what you build! You can take measurements and perform analysis of antenna and radar systems, and incorporate test data into system-level performance analysis</li>
<li>You have the ability to optimize and calibrate antennas and antenna arrays for key performance metrics, including gain, side lobes, and polarization purity over frequency and scan angle</li>
<li>You can shift into a customer-facing mode and engage with customers to demonstrate and evaluate antenna and radar systems for new applications and emergent spaceborne missions</li>
<li>You are able to implement and test antenna control algorithms for advanced performance modes</li>
<li>You are comfortable assisting in the recruiting, interviewing, and hiring additional teammates to our rapidly growing team</li>
</ul>
 Requirements of the Role:
<ul>
<li>BS, MS, or PhD degree in electrical engineering, physics or related discipline</li>
<li>Onsite role in Seattle, WA, with intermittent work travel required (less than 10%)</li>
<li>7+ years of experience in RF and antenna design for radar or communications applications</li>
<li>Familiarity with phased-array design principles and digital beamforming (DBF)</li>
<li>Proficient use of commercial EM solvers for large-scale electromagnetic simulations, such as HFSS</li>
<li>Familiarity with high-density PCB-based antenna design and fabrication</li>
<li>Build a strong culture of technical excellence, innovation and ownership</li>
<li>Eligible to obtain and maintain an active U.S. Top Secret/SCI security clearance</li>
</ul>
Bonus if candidates have experience and skills in the following areas:
<ul>
<li>Spaceborne antenna system design experience, including deployable antennas and structural and thermal design considerations</li>
<li>Familiarity with radar systems, signal processing, high-power electronics and thermal design</li>
<li>Previous experience designing metamaterial or traveling wave feed antennas</li>
<li>Familiarity with RFICs and custom ASICs </li>
<li>RF systems at Ku-band and higher frequencies</li>
<li>An active or previously held US Government TS/SCI security clearance is considered a strong plus</li>
</ul>
Concerned you do not meet all the requirements? Not a problem - please apply even if you do not meet all these criteria. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Kapta Employees must be U.S. citizens, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State or Commerce as applicable.&nbsp; Kapta Space is committed to a diverse and inclusive workplace. We believe that diversity drives innovation, strengthens our team, and broadens our capabilities. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. We welcome applicants from all backgrounds and encourage individuals from underrepresented groups to apply. Kapta Space does not engage with external recruiters or agencies without prior written agreement. If you are a recruiter (individual or agency) and wish to engage with Kapta Space for talent acquisition, please email <a href="mailto:hr@kaptaspace.com" target="_blank">hr@kaptaspace.com</a>.
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 Antenna Engineer

<h3>Job Description</h3>
Job DescriptionOXMAN OXMAN is a hybrid Design and R&amp;D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design.&nbsp; At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Leveraging advanced computational techniques, you will develop innovative design methods that support and enhance ecological processes, bridging human-made and natural environments.In this role, you will explore the intersection of generative design methods and data-driven optimization strategies. Your primary objective will be creating approaches that integrate generative design, ecosystem simulation, and optimization techniques to enhance ecosystem services benefiting both humans and natural biodiversity. You will develop and test generative models and procedural techniques for designing environments, behaviors, and scenarios. These designs will be evaluated and refined through data-driven optimization and reinforcement learning methods, aiming to maximize positive ecological outcomes, such as biodiversity and resilience. Please provide cover letter and portfolio if available. Responsibilities
<ul>
<li>Develop and refine advanced deep generative models and reinforcement learning algorithms to generate, explore, and optimize built-environment design strategies aimed at enhancing ecosystem services.</li>
<li>Create decision-making frameworks that combine procedural generation with machine learning and data-driven optimization, improving interactions between built and natural environments.</li>
<li>Investigate and implement interfaces between procedural generation techniques, machine learning approaches, and deep generative modeling.</li>
<li>Collaborate with computational ecologists to integrate generative design frameworks with ecosystem simulation models, producing architectural and infrastructural designs that interact positively with natural environments.</li>
<li>Apply optimization and reinforcement learning techniques to align generative design outputs with ecological performance indicators, such as species richness, carbon sequestration, and water management.</li>
<li>Collaborate with data scientists and ecologists to incorporate extensive, diverse datasets (remote sensing, climate data, biodiversity records) into generative and optimization methodologies.</li>
<li>Contribute to model validation by comparing simulated results to empirical ecological data, ensuring accuracy and reliability.</li>
<li>Prepare detailed technical documentation of methods, assumptions, and implementations to support reproducibility and knowledge sharing.</li>
</ul>
Qualifications
<ul>
<li>Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields.</li>
<li>Proven experience developing and deploying deep generative models, reinforcement learning algorithms, and data-driven optimization methods in practical design problems.</li>
<li>Strong knowledge in mathematical modeling, probabilistic methods, simulation techniques, procedural modeling, and complex systems.</li>
<li>Proficiency in handling and analyzing large, heterogeneous datasets (environmental, climate, remote sensing) using Python, C++, or similar languages.</li>
<li>Experience with GIS tools and remote sensing technologies for geospatial analysis.</li>
<li>Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture, engineering, and design.</li>
<li>Enthusiasm for pushing boundaries in design and science; ability to merge rigorous computational methods with innovative thinking. </li>
<li>A&nbsp;commitment to Nature-centric principles and willingness to explore novel ways of integrating technology and ecology.</li>
</ul>
OXMAN does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other legally protected characteristics. NYC Salary Range: $75,000-$225,000 Salary is based on a number of factors including job-related knowledge, skills, experience, and other business and organizational needs. Our compensation package also includes variable compensation in the form of year-end bonuses, benefits, immigration assistance, and equity participation.

Machine Learning Research Engineer

<h3>Job Description</h3>
Job DescriptionEngineer Responsibilities We are searching for a detail-oriented, dependable engineer to join our growing team. The engineer's responsibilities include monitoring and servicing implemented systems, diagnosing problems and troubleshooting errors, while also simultaneously running tests and completing reports, updating and improving existing systems, and repairing or replacing faulty code. You should collaborate with other engineers and be able to make useful recommendations wherever possible. To be successful as an engineer, you should demonstrate strong self-discipline and a passion for technology. Oustanding technicians possess sound knowledge of their trade and superb active listening skills.Job requirements
<ul>
<li>Quick learner</li>
<li>Ambitious</li>
</ul>
Our company is proud to be an equal opportunity workplace.

Forward Division Engineer

<h3>Job Description</h3>
Job DescriptionResponsibilities:
<ul>
<li>Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting &amp; planning.</li>
<li>Assume responsibility for the overall planning, execution, and success of autonomous driving related projects&nbsp;Actively code and develop prototypes to test novel algorithms and ideas.</li>
<li>Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.</li>
<li>Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring.</li>
<li>Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence.</li>
<li>Present the progress to senior leadership and cross-functional teams.</li>
<li>Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.</li>
<li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li>
<li>Ensure team compliance with QMS, monitor quality, and drive process improvements.</li>
</ul>
Required Skills:
<ul>
<li>7-10 years of experience building data-driven, fault-tolerant systems</li>
<li>Proven record of delivering a DL based system</li>
<li>MS or PhD in Computer Science or equivalent practical experience</li>
<li>Extensive experience designing and building modern planning systems a big plus</li>
<li>Passionate about writing amazing, robust, safety-critical, efficient C++ and Python</li>
</ul>
Preferred Skills:
<ul>
<li>Experience in deep learning, mobile robotics, geometric modeling and trajectory generation&nbsp;</li>
</ul>
Salary Range
<ul>
<li>$200,000 - 280,000</li>
</ul>
Exact compensation may vary based on skills and experience.
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.

Principal Engineer / Director, Motion Planning

<h3>Job Description</h3>
Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. What the job involves You will be part of Kiddom’s Data Science team, building the foundation of our search, recommendation, and insights systems. Your work will directly support teachers and students by delivering timely insights, personalized content, and intelligent assistance.What the job involves
<ul>
<li>Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine.</li>
<li>Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes.</li>
<li>Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs.</li>
<li>Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization.</li>
<li>Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks.</li>
<li>Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems.</li>
<li>Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth.</li>
</ul>
Who you are
<ul>
<li>Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role.</li>
<li>Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization.</li>
<li>Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch).</li>
<li>Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments.</li>
<li>Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders.</li>
</ul>
Desirable
<ul>
<li>Deep expertise in modern deep learning frameworks and advanced LLM architectures.</li>
<li>Experience building evaluation pipelines for ML/AI systems, ensuring reliable measurement of impact and quality in real-world use.</li>
<li>Experience implementing and fine-tuning large language models (LLMs), including prompt engineering, embeddings, and efficient inference optimization.</li>
<li>Familiarity with foundation model adaptation techniques such as PEFT, LoRA, or RLHF.</li>
<li>Self-motivated innovator who thrives in fast-moving environments and is excited to explore emerging AI techniques to solve meaningful problems in education.</li>
<li>Passion for applying cutting-edge AI research to improve teaching workflows and personalize student learning at scale.</li>
</ul>
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process. What we offerFull time permanent employees are eligible for the following benefits from their first day of employment:* Competitive salary* Meaningful equity* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance * One Medical membership (in participating locations)* Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.* 10 paid sick days per year (pro rated depending on start date)* Paid holidays* Paid bereavement leave* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.* Commuter and FSA plans Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

28,201 Engineering Jobs