autonomous systems engineer

Johns Hopkins University Applied Physics Laboratory

<div><b>Description</b><p><br>
Are you driven by robotics and autonomous system development?</p><p></p><p><br>
Do you enjoy hands-on design, integration, and testing of Uncrewed Aerial Vehicles (UAVs)?</p><p><br>
Are you interested in applying your skills to meaningful projects that advance the state of uncrewed and autonomous systems?</p><div></div><div><b><br>
If so, we're looking for someone like you to join our team at APL.</b></div><div></div><div><br>
We are seeking a UAV Robotics Engineer to help conceive, design, fabricate, integrate, and test a variety of novel UAV systems and payloads. In this role, you will contribute directly to the development of advanced autonomous capabilities and help shape the future of uncrewed systems. You will join a multidisciplinary team of engineers, scientists, and technicians who are passionate about rapid prototyping, system design and integration, and rigorous field testing. Our team supports critical programs that directly benefit the nation&rsquo;s warfighters while fostering a collaborative, innovative, and fast-paced work environment.</div><div><br>
</div><div><b>As a UAV Robotics Engineer, your primary responsibilities will include</b>...</div><ul><li>
Designing, fabricating, integrating, and testing UAV airframes, subsystems, and payloads.</li><li>
Designing, integrating and testing mission-critical electronics for a variety of robotic systems.</li><li>
Planning, executing, and leading local and remote field tests, incorporating feedback from end users to inform design revisions.
</li><li>Serving as a technical lead and mentor within a multidisciplinary engineering team.</li></ul>
<br>
<b>Qualifications</b><div><b><br>
You meet our minimum qualifications for the job if you...</b></div><ul><li>
Possess a BS in Mechanical Engineering, Electrical Engineering, Aeronautical Engineering, Robotics, Mechatronics or related fields.</li><li>
Have 2+ years of relevant experience working with UAVs, UGVs, UAS, UUVs or related robotic systems.</li><li>
Have experience with the design, integration, and flight testing of both fixed-wing and multirotor UAVs.</li><li>
Demonstrate strong skills in:</li><li>
Are willing and able to support local and remote field test events, including operations in harsh and austere environments.</li><li>
Hold an active Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.</li></ul><div><b>
You'll go above and beyond our minimum requirements if you...</b></div><ul><li>
Hold an MS or PhD in a relevant engineering discipline.</li><li>
Have experience developing and flight-testing autonomous UAV behaviors.</li><li>
Are comfortable working across mechanical, electrical, and software domains.</li><li>
Have led complex UAV development efforts from concept through deployment.</li><li>
Have integrated perception sensors such as EO/IR cameras, LiDAR, radar, or RF payloads into UAV platforms.</li><li>
Are comfortable making real-time engineering decisions during flight and field operations.</li><li>
Have experience operating UAVs in GPS-degraded, RF-challenged, or denied environments.</li><li>
Have experience with a variety of UAV airframe types (e.g., multirotor, fixed-wing, VTOL, coaxial, traditional helicopter).
</li><li>Have experience with Uncrewed Underwater, Ground or Surface Vehicles (UUV, UGV, USV).</li><li>
Thrive in fast-paced, prototype-driven environments with evolving requirements.</li></ul>
<br>
<b>About Us</b><p><b><br>
Why Work at APL?</b></p><p>
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation&rsquo;s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.</p><p>
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL&rsquo;s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.</p><p>
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.</p><p>
The referenced pay range is based on JHU APL&rsquo;s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.</p><br>
<br>
<b>Minimum Rate</b><br>
<br>
$85,000 Annually
<br>
<br>
<b>Maximum Rate</b><br>
<br>
$195,000 Annually</div>

UAV Robotics Engineer

Motional

<div><p><b>Mission Summary:</b></p>
<p>
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.</p>
<p>
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.</p>
<p>
We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.</p>
<p>
You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply.</p><br>
<p><b>
What You'll Be Doing:</b></p>
<ul>
<li><b>Embodied AI &amp; LLM Framework Oversight: </b>Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.</li>
<li><b>Multi-Modal Data Fusion: </b>Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.</li>
<li><b>Prompt Engineering &amp; Model Integration: </b>Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.</li>
<li><b>AI Inference &amp; Evaluation Scalability: </b>Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.</li>
<li><b>AV Performance Metrics Foundations: </b>Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.</li>
<li><b>Driving Policy Integration: </b>Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.</li>
<li><b>Cross-Functional Technical Leadership: </b>Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.</li>
<li><b>Advanced Physical AI R&amp;D: </b>Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks.</li><br>
</ul>
<p><b>What We're Looking For:</b></p>
<ul>
<li>10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.</li>
<li>Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.</li>
<li>Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.</li>
<li>Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.</li>
<li>Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.</li>
<li>Experience with adversarial scenario generation and closed-loop simulation environments.</li>
<li>Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.</li>
<li>Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.</li>
<li>Expert-level proficiency in Python and strong understanding of software development principles.</li><br>
</ul>
<p><b>Bonus Points (not required):</b></p>
<ul>
<li>Experience working with autonomous vehicle sensor data, including its processing and integration.</li>
<li>Hands-on experience with data pipeline orchestration tools and distributed data processing frameworks.</li>
<li>Expertise managing cloud infrastructure on AWS or GCP for processing terabytes of data efficiently.</li>
<li>Familiarity with Ray and Ray clusters for scaling Python applications and AI/ML tasks.</li>
<li>Expertise with C++ programming for data frameworks.</li><br>
</ul>
<p><b>Success Metrics:</b></p>
<ul>
<li>Successful deployment of an automated off-board evaluator capable of inferring scenario safety and assessing AV intelligence with a target &gt;90% F1 score for anomaly detection.</li>
<li>Successful delivery of high-signal, LLM-enriched events and robust performance metrics that enable Autonomy teams to efficiently diagnose and resolve complex, long-tail behavioral issues.</li>
<li>Reduction of the turnaround time required to move from fleet data collection to actionable simulation scenario creation from days to hours.</li>
<li>Improvement in the efficiency and effectiveness of AV performance evaluation processes.</li>
</ul>
<p>This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us!</p><br>
<p><b>
Physical Demands:</b></p>
<p>
While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.</p><br>
<p><b>
Travel Requirements (greater than 20%)</b>:</p>
<p>
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.</p><br>
<p><b>
Working Environment:</b></p>
<p>
The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.</p><br>
<p><b>
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.</b></p><div><p><b>
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.</b></p>
<p><b>
Our journey is always people first.</b></p>
<p>
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.</p>
<p><b>
Higher purpose, greater impact.</b></p>
<p>
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
</p><p><b>Scale up, not starting up.</b></p>
<p>
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.</p>
<p>
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.</p>
<p><i>
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.</i></p></div></div>

Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation

archer

<div><div><p>Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.</p>
<p>
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.</p></div><p><b>
About the Role</b></p>
<p>
Special Programs is Archer's rapid-prototyping, cross-functional engineering team supporting advanced and defense-focused development efforts. We operate as a small, empowered group capable of moving quickly across disciplines &mdash; from early technical assessment of new opportunities through hands-on design, analysis, and prototype development.</p>
<p>
The Lead Special Programs Engineer &ndash; Advanced Behaviors &amp; Algorithms brings deep expertise in advanced vehicle and mission behaviors as their organic core competency &mdash; designing and validating the tactics, decision logic, and mission-level behaviors that let prototype systems operate effectively in contested or dynamic environments.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Lead design and validation of advanced mission behaviors and tactics for prototype vehicles, including behavior architectures, decision logic, and scenario-based validation</li>
<li>Support rapid prototyping efforts end-to-end, from concept behaviors and simulation through hardware-in-the-loop test and flight test support</li>
<li>Own the advanced behaviors discipline within Special Programs &mdash; setting technical approach, standards, and validation methods used across the program's behavior work</li>
<li>Conduct technical feasibility assessments of new opportunities &mdash; evaluating whether emerging concepts, RFPs, or mission requirements are viable within your focus area and what approach they would require</li>
<li>Serve as a cross-functional technical contributor across Special Programs efforts outside your core focus area when program needs require it</li>
<li>Collaborate with program leads, other Special Programs engineers, and broader Archer engineering teams to align technical approaches with program timelines and constraints</li>
<li>Produce technical documentation, trade studies, and analysis packages supporting both design maturity reviews and opportunity/capture decisions</li>
<li>Represent Special Programs work in your focus area in internal reviews and, as needed, in discussions with government stakeholders</li>
</ul>
<p><b>What You'll Need</b></p>
<ul>
<li>Bachelor's degree in Aerospace, Computer Science, Robotics, or a related field (advanced degree a plus)</li>
<li>Demonstrated experience developing or validating mission-level behaviors, tactics, or decision-making logic for autonomous or semi-autonomous aerospace/defense systems</li>
<li>Familiarity with behavior modeling, simulation environments, and scenario-based test and validation approaches</li>
<li>Demonstrated ability to work across the full development lifecycle &mdash; concept through prototype &mdash; in a fast-paced, resource-constrained environment</li>
<li>Experience or strong aptitude for evaluating technical feasibility of early-stage concepts, not just executing against defined requirements</li>
<li>Comfort operating as a generalist when needed &mdash; willingness and ability to contribute outside your core focus area in support of program needs</li>
<li>Ability to work independently with significant technical ownership and no direct-report support structure</li>
<li>8&ndash;12 years of relevant engineering experience (or equivalent demonstrated experience in rapid-prototyping / advanced-programs environments)</li>
<li>Must be a U.S. Person (U.S. citizen, national, lawful permanent resident, asylee, or refugee), as defined by ITAR/EAR</li>
<li>Ability to obtain and maintain a U.S. government security clearance</li>
</ul>
<p><b>What Makes This Role Different</b></p>
<p>
This isn't a seat on Archer's core advanced behaviors team. Special Programs engineers are chosen for deep discipline expertise and the versatility to support wherever a program needs it &mdash; from early opportunity evaluation to hands-on prototype work across disciplines. You'll have significant technical ownership and autonomy, working in a small team built to move fast on some of Archer's most forward-looking defense efforts.</p><br>
<p></p>
<p>
At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's strategy. For this position, we are targeting a base pay range of $138,200 - $190,100. Actual compensation offered will be determined by job-related knowledge, skills, and experience.
</p><h5 class="jobSectionHeader">Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.</h5><p></p><div><br>
<h5 class="jobSectionHeader">
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.</h5>
<h5 class="jobSectionHeader">Archer is unable to provide work visa sponsorship for this position at the present time.</h5>
<h5 class="jobSectionHeader">Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.</h5>
<h5 class="jobSectionHeader">Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.</h5></div></div>

Lead Engineer, Advanced Behaviors & Algorithms – Special Programs

Joby Aviation

<div>Company Overview:
<div>
Joby Advanced Development designs, develops, and flight-tests novel aircraft using a software-first autonomy approach. We build and deploy autonomy, perception, planning, and radar systems across conventional, electric, and hydrogen-electric aircraft in both CTOL and VTOL configurations.</div>
Overview:
<p>
At Joby, Systems Engineers manage the end-to-end design, integration, and execution of complex aerospace systems. They are responsible for translating mission objectives into technical requirements, ensuring seamless collaboration between hardware and software teams, balancing competing constraints (cost, schedule, and performance), and validating all parts safely achieve the mission.</p><div></div><p><br>
Joby Aviation&rsquo;s Advanced Development team is looking for a passionate Airspace Integration Systems Engineer to join our growing team. This is a position that provides the engineer a chance to interact with many of the key teams and disciplines within the company. The Engineer will provide technical guidance and coordination across the Autonomy Systems as well as our flight test team and certification team. This role owns airspace integration for the autonomy system end-to-end &mdash; from architecture and requirements through development, certification, and entry into service.</p><div></div><p><br>
This position requires a solid understanding of aircraft systems, system development, and industry specific certification processes. This position requires enough background knowledge and a willingness to learn to enable one to understand the complex trade-offs involved in the system design both within Avionics and across the aircraft systems as a whole.</p><div><br>
</div><p>The most important traits at Joby are a positive attitude towards the project, strong work ethic, and being able to self-manage and learn new skills. Forward thinking and the ability to adapt quickly to a fast-paced environment are a must.</p><div></div><p><br>
Joby is seeking an experienced systems engineer to work on the development of complex hardware and software-intensive autonomous systems. You will be part of a high-energy, collaborative team aimed at taking the Joby autonomy product from proof-of-concept through commercial certification for current and future Joby projects.</p>
Responsibilities:
<ul><li><p>
Lead airspace integration analysis for autonomous aircraft systems, developing and executing strategies to safely integrate unmanned and autonomous platforms into the National Airspace System (NAS) in compliance with FAA regulations and standards.</p></li><li><p>
Develop and validate Concept of Operations (ConOps) and system safety cases for autonomous flight operations, including detect-and-avoid (DAA), command-and-control (C2) link performance, and contingency management procedures.</p></li><li><p>
Collaborate with FAA and regulatory stakeholders to support certification activities, including participation in rulemaking committees, waiver/exemption applications, and Type Certificate or Airworthiness approval processes for autonomous systems.</p></li><li><p>
Design and analyze airspace integration requirements, including separation standards, sense-and-avoid performance, communication/navigation/surveillance (CNS) architecture, and interoperability with Air Traffic Management (ATM) systems such as UTM/UAM frameworks.</p></li><li><p>
Conduct modeling, simulation, and flight test support to evaluate autonomous system performance against safety, reliability, and airspace integration requirements, translating results into system design recommendations.</p></li><li><p>
Interface cross-functionally with systems engineering, software, avionics, and safety teams to ensure autonomy architecture, sensor suites, and fail-safe behaviors meet NAS integration and certification requirements throughout the product lifecycle.</p></li><li><p>
Author technical documentation and standards compliance artifacts (e.g., safety assessments, hazard analyses, requirements traceability matrices) supporting internal reviews and regulatory submission.</p></li><li><p>
Ensure that all systems being developed are coordinated and balanced to function as a cohesive whole</p></li><li><p>
Define and conduct trade studies and functional analyses</p></li><li><p>
Develop, validate, and verify system requirements in partnership with the software, hardware, and guidance, control and navigation teams.</p></li><li><p>
Define and analyze the system architecture</p></li><li><p>
Plan and execute system test plans in software and hardware in the loop simulations</p></li><li><p>
Identify and manage technical risk</p></li><li><p>
Collaborate with other engineers (hardware, software, safety) to track and analyze system progress</p></li><li><p>
Engage and manage vendors on key components</p></li><li><p>
Guide and mentor junior engineers</p></li></ul>
Required:
<ul><li>5+ years of relevant industry experience</li><li>
Professional systems engineering experience, preferably in aerospace and/or autonomy</li><li>
Effective at working in a multidisciplinary team and communicating across stakeholders</li><li>
Ability to work in a fast-pace environment</li><li>
Thorough understanding of systems engineering concepts and methods</li><li>
MS/PhD in engineering</li></ul>
Additional Information:
<div>
Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $161,400 - $194,900/yr. The compensation package will be determined by job-related knowledge, skills, and experience.</div><p></p><div><br>
Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.</div></div>

Senior Airspace Integration Systems Engineer

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader"><b>Founding Software Engineer
</b></h1><p><b>Location: </b>New York, NY (Onsite)
</p><p><b>Employment Type: </b>Full-Time | Direct Hire
</p><p><b>Compensation: </b>$200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
</p><p><b>Interview Process: </b>3 Interviews
</p><h2 class="jobSectionHeader"><b>Position Overview
</b></h2><p>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a <b>Founding Software Engineer </b>to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
</p><p>This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
</p><p>The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with <b>TypeScript </b>and <b>SQL </b>.
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader"><b>Preferred Qualifications
</b></h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader"><b>What We're Looking For
</b></h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul><p>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</p></div></div>

Founding Software Engineer

University of California Berkeley

Associate Development Engineer (4758C) - Job #84710 - EECS About Berkeley
<br><br>
At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
<br><br>
As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.
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We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan .
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At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley.
<br>Departmental Overview
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The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data Science, and Society (CDSS) is the largest academic department on the Berkeley campus, consisting of over 130 faculty, active emeriti, professors-in-residence, and adjunct professors, 3600+ undergraduates in both Engineering and CDSS, 750+ graduate students, and 60+ staff. EECS programs are consistently ranked in the top three by many measures, including U.S. News & World Report's national and global ranking. Annual operating budget (not including expenditures related to research. faculty start-ups, and student fellowships) for EECS is $40+ million.
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The Department is actively engaged in teaching and research in the disciplines of Artificial Intelligence, Computational Biology, Databases, Graphics, Hardware / Architecture, Human-Computer Interaction, Operating Systems / Networking, Programming Systems / Software, Scientific Computing, Theory, Vision (in Computer Science) as well as Biosystems, Communication/Networking, Communications / Physical Layer, Control, Design, Modeling, and Analysis, Electromagnetics/Antennas, Integrated Circuits, Optics, Physical Electronics Devices, Physical Electronics/MEMS, Optoelectronics, Energy, Robotics, Signal Processing for Image & Video, Signal Processing for Speech & Audio (in Electrical Engineering). Computer Science operates research and instructional laboratories in Sutardja Dai Hall, and other off-campus sites, and Electrical Engineering operates similar facilities in Cory Hall, Sutardja Dai Hall, and other off-campus sites. EECS also has a significant technical staff support structure to provide support for research and instructional laboratories and fabrication facilities.
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This position is ideal for a mid- to senior-career engineer with substantial hands-on experience in electronics, instrumentation, and lab systems support, capable of operating independently across multiple lab spaces. The engineer will serve as a primary technical resource, ensuring that instructional labs are safe, reliable, and fully operational each day.
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The Associate Development Engineer provides professional engineering and technical support across all instructional labs within the Electrical Engineering and Computer Sciences department. Reporting to the Senior Development Engineer, this role supports a broad range of activities spanning electronics, controls, robotics, autonomous systems, and RF technologies.
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Key responsibilities include designing, integrating, setting up, testing, and maintaining instructional and research-related equipment-ranging from electronic circuits, sensors, and RF systems to robotic and drone infrastructure, embedded platforms, and audio-visual technology. The position also provides guidance in developing experimental setups and maintaining lab spaces such as maker or prototyping areas.
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This role requires strong hands-on ability in building and integrating systems-assembling testbeds, configuring embedded and RF hardware, developing control and communication software, and troubleshooting electromechanical and networked systems. Proficiency in electronics, RF instrumentation, microcontroller and embedded development tools, CAD design, and software integration (e.g., Python, ROS, or MATLAB/Simulink) is expected. The Associate Development Engineer collaborates closely with faculty, students, and staff to ensure the smooth operation of instructional labs and to enhance hands-on learning and experimentation in robotics, controls, RF, and autonomous systems.
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Application Review Date
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<b>The First Review Date for this job is:</b> June 26, 2026 - Open Until Filled
<br>Responsibilities
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Provides full range of professional engineering services to research projects; meets with research staff in Provide high-level engineering and technical support across all instructional labs within the Electrical Engineering and Computer Sciences department. Collaborates with PI in the design, setup, testing, and maintenance of experimental systems and equipment used in labs covering basic electronics, controls, robotics, RF, and autonomous systems. Develops and integrates advanced technologies or methodologies (e.g., drone infrastructure, networked sensors, AI-enabled control, and communication systems) into instructional and research setups, ensuring safety, reliability, and compatibility.
<br>Supports and maintains electronic and audiovisual systems used in instructional and research environments, ensuring proper integration with lab instrumentation, computing, and control systems.
<br>Collaborate with faculty, students, and staff during the planning, design, and implementation phases of lab projects, ensuring alignment with instructional goals and learning outcomes. Develop and optimize firmware/software for microprocessors and embedded systems used in lab experiments, utilizing appropriate development tools and methodologies. Supports hardware-software integration for robotics, drones, and RF-based systems, ensuring interoperability across platforms. Facilitates collaboration across diverse disciplines (e.g., engineering, data science, biology, medicine) to address multifaceted or interdisciplinary projects.
<br>Provide technical guidance and training to students, faculty, and lab assistants on equipment operation, safety protocols, and best practices in experimental design and execution. Collaborate with the Senior Development Engineer and other stakeholders to assess and enhance lab infrastructure, equipment, and processes to support evolving educational needs and research initiatives. Assist in configuring and maintaining lab environments for hands-on experimentation in embedded systems, robotics, and wireless communication.
<br>Document project progress, outcomes, and technical specifications to maintain comprehensive records and facilitate project evaluation and replication. Monitor and evaluate lab equipment performance, identify issues, and implement timely solutions to ensure optimal functionality and reliability. Maintain documentation for integrated hardware-software systems, including electronics, communication links, and control interfaces.
<br>Participate in continuous improvement initiatives to enhance lab capabilities, efficiency, and effectiveness, contributing to the department's academic and research objectives. Stay updated on emerging technologies, trends, and advancements in engineering education and instructional methodologies relevant to the role. Evaluate new technologies in robotics, autonomous systems, and RF instrumentation for potential lab integration. Required Qualifications
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Bachelor's degree in a related area and/or equivalent experience/training.
<br>Proven experience in providing engineering and technical support within educational or research environments.
<br>Strong proficiency in using development tools for microprocessors (e.g., ARM, AVR, PIC, Intel), CAD tools (e.g., AutoCAD, SolidWorks), and other technologies relevant to electrical engineering, computer science, and autonomous or RF systems.
<br>Excellent problem-solving skills and ability to analyze complex technical issues, propose solutions, and implement effective resolutions.
<br>Effective communication and collaboration skills, with the ability to work closely with diverse stakeholders, including faculty, students, and technical staff.
<br>Commitment to fostering a positive and supportive learning environment, promoting hands-on learning and experiential education.
<br>Prior experience with instructional labs covering electronics, controls, robotics, RF systems, or related disciplines is highly desirable.
<br>Ability to work collaboratively; identify challenges and barriers, and recommend resolutions.
<br>7+ years of experience in providing engineering and technical support within educational or research environments.
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Salary & Benefits
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For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
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Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
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The budgeted salary or hourly range that the University reasonably expects to pay for this position is $88,900 to $126,400 yearly; the full salary range for this classification is $88,900 to $163,900 yearly. This is a 100% FTE career position eligible for full benefits. This position is FLSA Exempt and paid monthly.
<br>Conviction History Background
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This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.
<br>Misconduct Disclosure
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As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
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"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
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UC Sexual Violence and Sexual Harassment Policy
<br>UC Anti-Discrimination Policy
<br>Abusive Conduct in the Workplace
<br>Equal Employment Opportunity
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The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
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To apply, visit https://careerspub.universityofcalifornia.edu/psc/ucb/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=84710&PostingSeq=1&SiteId=21&languageCd=ENG&FOCUS=Applicant
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je-04fdb2fe98524bde8e37f4cb9d46ae92

Associate Development Engineer (4758C) - Job #84710 - EECS

American Express

<div><p>At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.
</p><p>Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences&mdash;while meeting the high standards for security, explainability, reliability, and compliance required in financial services.
</p><p>We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.
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<b>The Role
</b></p><p>As a Staff Software Engineer &ndash; Agentic AI, you will operate as a senior individual contributor within Amex Technology, helping define how agentic AI systems are designed, built, and operated across the company.
</p><p>You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.
</p><p>You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Staff engineers are expected to actively influence <i>what </i>gets built and <i>how </i>agentic systems come together across teams.
</p><p>We are primarily looking for senior individual contributors; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space. Mentoring, developing and managing direct reports may be in scope for some of our opportunities.</p></div>
<br><div><ul><li>10+ years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production
</li><li>Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. 10+ years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production
</li><li>Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
</li><li>Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
</li><li>Fluency with AI-assisted and agentic development workflows.
</li><li>Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
</li><li>Ability to influence technical direction and align teams without formal authority.
</li><li>Experience in worflow engines, async processing, queues, and streaming systems
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Experience building agentic systems in fintech or other regulated industries.
</li><li>Experience as a founding engineer or early technical leader in AI-driven products.
</li><li>Demonstrated success delivering technically complex autonomous systems that customers actively rely on.
</li><li>Meaningful contributions to open-source AI or agentic frameworks.
</li><li>Familiarity with fine-tuning, model optimization and inference pipelines is a plus</li></ul></div>
<br><div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
</p><p>As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p></div>
<br><div><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><p></p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.<br>
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<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.<br>
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<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

Staff AI Engineering - Enterprise Architecture

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