{"id":407052,"url":"https://alion.io/job/nvidia-senior-developer-technology-engineer-edge-agentic-ai","title":"Senior Developer Technology Engineer - Edge Agentic AI","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":778,"ghost_share":0.022,"stale_share":0.587,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","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":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":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"cuDNN","optional":false},{"name":"Linux","optional":false},{"name":"Llama","optional":false},{"name":"llama.cpp","optional":false},{"name":"LLM","optional":false},{"name":"Ollama","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Python","optional":false},{"name":"TensorRT","optional":false},{"name":"vLLM","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-07-22T00:00:00Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-11-01T01:24:15Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":101},"description":"At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\nAs a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and pioneering open-source projects to enable professional agentic AI workflows at the edge powered by NVIDIAs RTX and DGX platforms. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the evolving landscape of enterprise and consumer agentic AI.\nWhat you'll be doing:\nWork closely across internal engineering and product teams as well as external app developers and enterprise ISVs on solving local end-to-end agentic AI GPU deployment challenges on NVIDIA RTX & DGX.\n\nApply powerful profiling and debugging tools for analyzing most demanding accelerated end-to-end agentic AI workflows to detect insufficient system utilization resulting in suboptimal runtime performance.\n\nConduct hands-on trainings, develop sample code and host presentations to give good guidance on efficient end-to-end agentic AI deployment targeting optimal runtime performance.\n\nImprove LLM & GenAI user experience by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, vLLM, ONNX Runtime.\n\nCollaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs.\n\nProviding technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment.\n\nWhat we need to see:\nA proven track record 5+ years of professional experience in local GPU deployment, profiling and optimization.\n\nA Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.\n\nStrong proficiency in C/C++, Python, software design, programming techniques..\n\nFamiliarity with and development experience on Windows and Linux.\n\nExperience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.\n\nSome travel is required for conferences and for on-site visits with external partners.\n\nStrong problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment.\n\nExcellent interpersonal and communication skills and a passion for keeping track with the latest advancements in AI technology.\n\nWays to stand out from the crowd:\nExperience with GPU-accelerated AI inference driven by NVIDIA APIs and SDKs, specifically TensorRT-RTX, cuDNN, NVIDIA Model Optimizer.\n\nExpertise with professional agentic AI use cases, i.e., digital content creation and productivity workflows.\n\nExperience working with open-source LLM and GenAI software.\n\nDetailed knowledge of the latest generation GPU architectures.\n\nExperience with AI deployment on NPUs and ARM architectures.\n\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you.\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 26, 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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