{"id":2356294,"url":"https://alion.io/job/gradientrobotics-systems-software-engineer","title":"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":"junior","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":113000,"max_usd":228000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":872},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Bazel","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"eBPF","optional":true},{"name":"Linux","optional":true},{"name":"Tracing","optional":true}],"status":"live","first_seen_at":"2026-07-22T00:43:41Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-13T12:41:56Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"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 Systems Software Engineer to help move data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, contributing to 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 you'll help 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. We iterate fast (multiple robot generations in months, not years), so the code you ship lands on real machines doing real precision work almost immediately.\nResponsibilities\nShip performance-critical code to real robots daily\n\nLearn the full data flow: camera frames in, perception and planning in the middle, control commands and actuator feedback out, and the systems that carry them\n\nContribute to the real-time control loop: help keep high-rate control running deterministically alongside vision inference\n\nBuild pieces of 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 tooling and instrumentation that make real-time behavior across controls and vision observable and debuggable\n\nMinimum Qualifications\n1+ years of software engineering experience building systems close to hardware (exceptional new grads with strong project or internship experience are welcome to apply)\n\nStrong programming fundamentals in at least one of Rust, C++, or Python, with solid understanding of operating systems and multithreading\n\nExperience building things: production systems, internal tools, student teams, or personal projects that worked\n\nDebugged real timing, concurrency, or hardware issues, even in a project setting\n\nComfort with ambiguity and a strong learn-by-doing instinct\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\nLinux kernel or embedded systems experience\n\nExposure to build and test infrastructure: Bazel, Nix, HIL testing, or CI/CD\n\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\nComfort using AI tools to multiply your own output","description_format":"text","description_chars":2975,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T14:50:40Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long 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