Senior Autonomy Software Engineer

About the CompanyOur client is an early-stage defense technology startup building autonomous vehicles for the U.S. military. They're already under active government contract, their first vehicle heads to military range testing in the coming months, and it's slated for real operational use shortly after. If you join now, the autonomy you write is live in months, not years.The team is lean, fast and deeply technical. Leadership includes a former lead powertrain engineer on one of the highest-performance production EVs ever built and a career Navy officer who ran unmanned programs. The head of autonomy has stood up flight software stacks from scratch at some of the most closely watched hard-tech startups of the last few years. You'll also work alongside a senior AI leader from one of the world's largest tech companies, who advises the team part-time.Their long-term play is Tesla- and SpaceX-style vertical integration: owning the critical systems in-house instead of buying them. For autonomy, that means no inherited codebase and no off-the-shelf robotics framework holding the vehicle together. You design the architecture.They're growing from roughly 15 people today toward 5x plus over the next 12 months, and they intend to promote from within as the team scales.This is a direct hire, permanent placement position for a client of AdAstra Talent Advisors.About the RoleThis is the first dedicated autonomy hire, and a Responsible Engineer role modeled on the SpaceX approach: you own the autonomy and perception stack, you make the architectural calls, and the buck stops with you (with real peer review along the way). It's hands-on IC work. The head of autonomy is handing off his own IC work and wants you to tell him how the system should be built.The expectation is clear: stand up the vehicle's autonomy architecture from a blank sheet and get a working product running in about 90 days. You won't write every component from zero. Proven open-source tools (YOLO, OpenCV and the like) come in where they make sense. But there's no ROS; the glue, the middleware and the overall architecture are yours to write.The stack spans three areas, and the first hire needs to be strong across all of them:Perception. Detect, recognize, classify and track what the vehicle's sensors see, using machine learning and classical computer vision, on constrained edge compute.Navigation and localization. Know where the vehicle is without GPS: state estimation, sensor fusion and mapping.Planning and decision-making. Mission planning, path planning, obstacle avoidance, and recovering safely when something goes wrong.The team plans to add two or three more autonomy specialists behind this hire (perception, and mission planning/navigation), so deep specialists are encouraged to apply.ResponsibilitiesWhat You'll OwnRequirements, architecture and the hard tradeoffs, often with incomplete informationProduction autonomy software in C, C++ or Rust, running within real compute, memory, latency and power limitsModel training, evaluation and deployment for perceptionThe simulation, replay, SIL and HIL environments used to test autonomy before it goes in the waterSensor selection and sensing architecture, alongside avionics and embedded softwareField testing and sea trials, and root-cause analysis from logs and telemetry afterwardMentoring the autonomy engineers who join after youWho They're Looking ForEngineers who have built an autonomy system from a blank page and shipped it to a real vehicle, ideally more than once. You can name the filter, the planner, the model and why you chose it. You've owned the decision, not just implemented it.Deep, practical experience in perception, navigation or planning for real-world autonomous systemsA track record of building autonomy from scratch, not extending a mature stackProduction code in a systems language, not just prototypes, notebooks or papersComfort writing your own architecture and glue instead of relying on a frameworkSmart, skeptical use of AI coding tools to move fast without shipping slopFirst-principles thinking and a bias for speedWhat Success Looks LikeIn about 90 days, the vehicle runs on an autonomy architecture you designed and can defendYour perception, navigation and planning are running in the water during range testing, and you're the one reading the logsThe test and replay tooling you built lets the team ship changes with confidenceAs the autonomy team grows, you're a natural candidate to lead itRequirementsRelevant experience with hands-on autonomy, perception, robotics or production softwareDeep proficiency in C, C++ or Rust, plus a scripting language such as PythonWillingness to support field testing and trialsPreferred ExperienceUAVs, drones, surface or underwater vehicles, ground robotics, aerospace or other real-world autonomous platformsDefense programsGPS-denied, communications-constrained or low-visibility operating environmentsDeploying ML models on edge computeBuilding sim, replay, Monte Carlo, SIL or HIL test environmentsSafety-critical or high-reliability softwareEarly-stage startup experience, or a greenfield program inside a larger organization*The above qualifications are desired, not required. We encourage you to apply if you are a strong candidate with only some of the desired skills and experience listed.Logistical RequirementsFull time, on-site in the Los Angeles areaRelocation support availableThis is a high-intensity season ahead of operational deployment. Expect long weeks and a team that's all in on the missionITAR RequirementTo conform to U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by ITAR (22 CFR §120.15), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.Benefit Highlights Base salary and title is determined by experience and seniorityGround-floor stock options from a dedicated employee poolHealth, dental and vision fully covered for employees401(k)15 days PTO plus federal holidaysRelocation support as neededUnique Perks🍽️ Lunch and dinner covered when you're at the office🏋️ $150/month fitness stipend💻 Laptop and whatever gear you need to do your best work🐶 Dog-friendly officeCompensation is determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, you will also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.Equal OpportunityOur client is an equal opportunity employer. They evaluate qualified applicants without regard to race, color, religion, 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.About AdAstraAdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world’s leading Hard Tech startups.At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it’s all because of trailblazing talent like you - those driven to do what’s never been done before.We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn’t a perfect fit, it’s likely we’ll have something relevant to share with you in the future.Join us on our journey by following along via LinkedIn!CEO, Seyka Mejeur | LinkedIn profileCTO / COO, Brian Mejeur | LinkedIn profileAdAstra Talent Advisors | LinkedIn profileAdAstra Website