{"id":1765881,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-agentic-retrieval","title":"Senior System Software Engineer, Agentic Retrieval","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":88,"open_postings":333,"ghost_share":0.015,"stale_share":0.423,"repost_share":0.03,"time_to_fill_p50_days":29,"computed_at":"2026-10-06T05:45:30Z"}},"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","Redmond, United States","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":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"VLM","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-06T20:05:40Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, co-pilots and more. Join us at the forefront of technological advancement in intelligent assistants and information retrieval. NVIDIA is looking for a System Software Engineer - Agentic Retrieval to develop pipelines for indexing and querying multi-modal content. We are looking for someone with a passion for working with the world's most challenging problems in Generative AI, LLM, VLLM, and Agentic Retrieval spaces using our innovative hardware and software platforms. You will develop tools for building powerful, flexible, multi-modal retrievers and agents driven by Large Language Models(LLM) thereby improving the experience of millions of customers. If you're creative & passionate about solving real world conversational AI problems, come join us.\nThis role is pivotal in accelerating containerized pipelines for high quality multi-modal datasets and providing best-in-class retrieval efficacy. The day-to-day focus is on developing efficient, scalable systems for deduplicating, filtering, and classifying training corpora for tailored models that enhance off-the-shelf capabilities. Fundamental to these efforts are iterative testing and improvement in system cost, speed, & accuracy through micro-optimization, prompt engineering, fine tuning, and applying new research. The ideal candidate believes in craftsmanship whereby they release early and often to obtain feedback while keeping the long-term vision alive! They are comfortable objectively evaluating the latest AI models and frameworks with an eye towards acceleration and capability enhancement.\nWhat You'll Be Doing:\nDevelop and optimize Rust-based data processing frameworks, ensuring efficient handling of large datasets on GPU-accelerated environments, vital for LLM training.\nLead development and iterative optimization of components for Agentic Retrieval pipelines, ensuring they demonstrate GPU acceleration & the best performing models for improved TCO.\nCollaborate with teams of LLM & ML researchers in the development of full-stack, GPU-accelerated data preparation pipelines for multimodal models Implement benchmarking, profiling, and optimization of innovative algorithms in Python in various system architectures, specifically targeting LLM applications.\nWork closely with diverse teams to understand requirements, build & evaluate POCs, and develop roadmaps for production level tools and library features within the growing LLM ecosystem.\nBuild amazing products to improve employee productivity using Gen-AI & Co-pilot experiences!\nDevelop integrated systems enabling unified experience across applications and driving insights for end-to-end user experience.\nHelp build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer, while ensuring key operational standards.\nProvide peer reviews to other specialists including feedback on performance, scalability, and correctness and actively contribute to the adoption of frameworks, standards, and new technologies\nWhat We Need To See:\nBachelor’s or Master’s Degree program in Computer Science, Computer Engineering, or a related field (or equivalent experience).\n6+ years of experience in a similar or related role\nExperience delivering software in a cloud context and is familiar with the patterns and process of managing cloud infrastructure\nKnowledge of MLOps technologies such as Docker-Compose, Containers, Kubernetes, data center deployments etc\nExcellent in-depth hands-on understanding of NLP, LLM, VLM, Generative AI, and Agentic Retrieval workflows\nSelf-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across the team\nOutstanding communication skills for distilling sophisticated topics down to understandable, impactful conclusions..\nAbility to work successfully with multi-functional teams, principals, and architects. Coordinates optimally across organizational boundaries and geographies.\nIf you are passionate about technology, have a proven track record in system software engineering, and are eager to make a significant impact in the industry, we would love to hear from you. Join us at NVIDIA and help us craft the future of visual computing!\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 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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