{"id":3488497,"url":"https://alion.io/job/chaos-industries-staff-software-engineer-sensing-systems","title":"Staff Software Engineer, Sensing Systems","company":{"id":449716,"name":"CHAOS Industries","domain":"chaosinc.com","url":"https://alion.io/company/chaos-industries","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["El Segundo, United States","Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":211000,"max":290000,"currency":"USD","period":"year","gross":null,"usd_annual":290000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Simulink","optional":false},{"name":"AI Agents","optional":true},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"Gazebo","optional":true},{"name":"GStreamer","optional":true},{"name":"Isaac Sim","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-29T22:30:24Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T10:00:42Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. \nCHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com.\nThe Role:\nWe're hiring one of the first software engineers on our electro-optical team. Today that means long-range EO/IR sensors. In future it could mean sensors on mobile and airborne platforms. Wherever the sensor sits, the job is the software that makes it, and every sensor around it, act as one system.\nThis is a software engineering role first. You don't need to be a camera or computer vision specialist. You do need to be an excellent engineer who is curious about physical systems and understands how real sensors behave: they drift, they disagree with each other, and a field test doesn't care what the simulation said.\nYou'll join a small, elite team that takes its own work into the field. You'll test live, change code live, and see how it holds up on the next flight. The capabilities you build will push the frontier of what these systems can do, and few engineers anywhere get to work this close to the hardware, the mission and the result.\nWe're also changing how we build software. The aim is to take a feature or a new capability and develop as much of it as possible without real hardware, then push it up the chain: through simulation, through hardware in the loop, and on to full end-to-end tests in the real world. Simulation will keep improving, but real hardware will always have the final say. So we're building the harnesses and graphs that carry a capability through every one of those stages, with AI doing as much of the work as it can be trusted with. The end state is fully autonomous, end-to-end tests run against real hardware at our test sites. This is what you'll be building.\nWhat You'll Build:\nSoftware that works on any sensor. Code that stays generic across many different camera heads and configurations while still hitting its performance bar, and flexes to whatever the mission and the customer demand.\nThe path from desk to field. Harnesses and graphs that take a capability from first commit through simulation and hardware in the loop to a full end-to-end test, with as little manual effort as possible.\nAutonomous field testing. The system that runs complete tests against real hardware at our test sites on its own, and reports back what happened.\nBetter simulation and replay. So more of every feature can be built and proven before it touches hardware.\nMulti-sensor integration. The interfaces, timing and data flow that let radar, cameras and other sensors work as one system.\nFielded software. Deployment, monitoring and live fixes for systems running on edge hardware at test and customer sites.\nThis Role Is Not:\nAlgorithm research. You'll build and ship software, not invent new detection or tracking algorithms.\nPhysics modeling. You won't be building high-fidelity physics models in MATLAB or Simulink.\nApplied machine learning. You won't be training models on sensor data.\nPure DevOps. You'll run infrastructure, but most of your time goes into writing software other engineers depend on.\nWhat We're Looking For:\nWe care more about strong engineering fundamentals and curiosity than about any specific technology or domain.\n8+ years of professional software engineering, including owning a production system end to end: you designed it, shipped it, and fixed it when it broke.\nA degree in Computer Science, Engineering, Physics or a related field, or equivalent experience.\nStrong Python. You build services and tools other engineers depend on, not just scripts and notebooks.\nComfort with Linux, Docker, networking and CI. You can get a multi-service system running on hardware you've never touched before.\nReal leverage from AI coding tools such as Cursor or Claude Code, with a considered view on what to delegate to them and what not to. We treat them as a multiplier on skills you already have: you should be able to write, explain and debug your own code without them.\nGrounding in the physical world, whether from an engineering degree, hands-on work with hardware, sensors or robotics, or field time with systems that had to work outside the lab. You can read a schematic, understand a test rack, and talk to an optics or RF engineer.\nAn appetite for field work. You want to be on site when your code runs, and you can debug and ship a fix before the next flight.\nA habit of measuring rather than guessing: you build the experiment, then trust the data.\nNice to Have:\nCameras, EO/IR sensors, gimbals, radar, or video pipelines such as GStreamer or DeepStream.\nEmbedded Linux or edge computing, especially NVIDIA Jetson, and GPU or CUDA work.\nRobotics, autonomous vehicles, drones or aerospace.\nHardware-in-the-loop test rigs, or test automation against real hardware.\nSimulation or game-engine work (Gazebo, Isaac Sim, Unreal or similar).\nBuilding AI agent harnesses or workflow graphs.\nC++ or TypeScript.\nDefense or aerospace experience, or a current U.S. security clearance.\nLocation and Requirements:\nWork on-site in El Segundo, CA.\nRegular travel to test sites and field deployments.\nU.S. Person status is required, as this position requires access to U.S.-only data systems.\nAbility to obtain and maintain a U.S. security clearance.\n\nWhy CHAOS?\nHealth Benefits: Medical, dental, and vision benefits 100% paid for by the company\n Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more\nOur Perks: Free daily lunch while you're working onsite, fully-stocked kitchen, unlimited PTO, casual dress code\n Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses\nTeam Growth: 500+ employees and counting across 5 global offices\nWhy CHAOS?\nHealth Benefits: Medical, dental, and vision benefits 100% paid for by the company\n Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more\nOur Perks: Free daily lunch while you're working onsite, fully-stocked kitchen, unlimited PTO, casual dress code\n Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses\nTeam Growth: 500+ employees and counting across 5 global offices\n Salary Range: $211,000 - $290,000\nThe stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. \nRecruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. 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