{"id":195389,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-dynamo-triton-inference-server","title":"Senior System Software Engineer - Dynamo-Triton Inference Server","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":"B","score":83,"open_postings":780,"ghost_share":0.022,"stale_share":0.586,"repost_share":0.041,"time_to_fill_p50_days":38,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","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","Seattle, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152000,"max":241500,"currency":"USD","period":"year","gross":null,"usd_annual":241500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"ONNX","optional":false},{"name":"OpenVINO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rust","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-07-02T00:00:00Z","employer_posted_date":"2026-07-02","last_verified_at":"2026-11-01T13:27:15Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":122},"description":"We are looking for a Senior System Software Engineer to work onDynamo-Triton Inference Server. NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users.\nWhat you'll be doing:\nDevelop world-class GPU-accelerated AI inference serving software.\n\nContribute to feature development and drive broad customer adoption.\n\nDrive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform. This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads.\n\nBe an active member of theopen source deep learning software engineering community.\n\nBalance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimizing and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies.\n\nWhat we need to see:\nMS or PhD in Computer Science or relevant field (or equivalent experience).\n\n5+ years of professional experience working on deep learning software.\n\nExcellent Rust & C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design.\n\nExperience with high-scale distributed systems and ML systems.\n\nStrong communication skills and ability to work in a fast-paced, agile team environment.\n\nWays to stand out from the crowd:\nPrior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM.\n\nKnowledge of GPU memory management, cache management, or high-performance networking.\n\nExperience with distributed systems programming.\n\nExperience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 6, 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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