{"id":2356298,"url":"https://alion.io/job/gradientrobotics-senior-systems-software-engineer","title":"Senior Systems Software Engineer","company":{"id":4416788,"name":"Gradient Robotics","domain":"gradientrobotics.ai","url":"https://alion.io/company/gradientrobotics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":163000,"max_usd":300000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3030},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bazel","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Computer Vision","optional":true},{"name":"eBPF","optional":true},{"name":"Tracing","optional":true}],"status":"live","first_seen_at":"2026-07-22T00:30:51Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-12T14:50:40Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"About the Company\nThe datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible.\nPartnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.\nAbout the role\nWe're looking for a Senior Systems Software Engineer to own how Gradient Robotics moves data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, owning real-time pipelines that move hundreds of megabytes at single-digit millisecond latency. Vision inference, control loops, and actuation all live on the same clock, and it's your job to keep them there. The goal: bring visibility and determinism into the end-to-end inference pipeline so the ML model is the only stochastic component.\nResponsibilities\nShip performance-critical code to real robots daily\n\nOwn the full data flow: camera frames in, perception and planning in the middle, control commands and actuator feedback out, and every system that carries them\n\nOwn the real-time control loop: keep high-rate control running deterministically alongside vision inference, and make sure a slow frame never becomes a late motor command\n\nBuild the perception data path: move high-bandwidth camera streams into the CV and ML models with minimal latency and zero silent drops\n\nPush down latency and tighten the stack to make the system faster, more deterministic, and more reliable\n\nBring visibility into the pipeline: build the tooling and instrumentation that make real-time behavior across controls and vision observable and debuggable\n\nMinimum Qualifications\n5+ years of software engineering experience building production systems close to hardware (drivers, kernels, embedded, robotics, or similar)\n\nSoftware: Rust, Python, C++, operating systems, and multithreading\n\nInfrastructure: Bazel, Nix, HIL testing, and CI/CD\n\nFirmware and platform: Linux kernel hacking and embedded systems\n\nDebugged timing and concurrency issues in the wild\n\nOwned messy, ambiguous problems and turned them into robust software\n\nAble to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team\n\nPreferred Qualifications\nExperience with real-time control systems: motor control, high-rate control loops, or robot controllers\n\nComputer vision pipeline experience: camera drivers, image transport, GPU inference, or sensor synchronization\n\nTracing and profiling experience: ftrace, flamegraphs, eBPF\n\nLinux I/O experience: DPDK, SPDK, io_uring\n\nComfort using AI tools to multiply your own 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