{"id":2743585,"url":"https://alion.io/job/nvidia-senior-robotics-software-engineer","title":"Senior Robotics Software Engineer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Robotics","role_family":"Robotics","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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Physical AI","optional":false}],"status":"live","first_seen_at":"2026-10-16T21:36:25Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T23:50:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities.\nWe’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.\nWhat you will be doing:\nLead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies.\nBuild end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities.\nExtend our platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation. Address real-world compute, latency, and bandwidth constraints on physical hardware.\nCollaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems.\nWhat we need to see:\nMaster’s degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).\n8+ years of relevant industry experience working on robotics software.\nHands-on experience integrating, deploying, and testing software on physical robots, and confidence working directly with hardware when needed.\nExperience deploying and evaluating learned policies to control physical robots.\nBroad working knowledge of robotics software, hardware, AI, and agentic systems. We value an understanding of how these components interact within a complete system.\nStrong problem-solving skills, including tracing issues across software and hardware boundaries. Ability to work independently through ambiguous technical challenges.\nInterest in designing robotics interfaces for agent-driven operation, with the ability to learn and evaluate new approaches.\nWays To Stand Out From The Crowd:\nExperience integrating humanoid robots or mobile manipulators, from initial bring-up through reliable demonstrations of robot capabilities.\nExperience diagnosing and resolving system-level challenges across robotics software and hardware.\nExperience building end-to-end robotics workflows where AI agents perform substantial portions of the work and guide engineers through data collection, training, evaluation, and deployment.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 20, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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