{"id":1158219,"url":"https://alion.io/job/nvidia-senior-data-backend-engineer-2","title":"Senior Data Backend Engineer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":231,"ghost_share":0.013,"stale_share":0.273,"repost_share":0.03,"time_to_fill_p50_days":27,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Backend","role_family":"Backend","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","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":"Computer Vision","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Milvus","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"RAPIDS","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T22:29:10Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T10:44:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management.\nWhat you'll be doing:\nScope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training.\n\nDesign and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management.\n\nDeploy AI models.\n\nDesign and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns.\n\nAnalyze and operationalize complex distributed systems for speed-of-light performance.\n\nWhat we need to see:\nExperience developing high-performance, scalable software systems.\n\nMS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.\n\nStrong programming skills in Python or Golang\n\nProficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus.\n\nStrong architectural skills with a proactive, problem-solving mentality.\n\nExperience in data mining | AI development\n\nExperience building ETL pipelines and working with big data engines.\n\nExceptional collaboration skills to work with system software and AI expert teams.\n\nEagerness to learn and adopt new technologies such as NVIDIA RAPIDS.\n\nWays to Stand Out from the Crowd:\nPrior experience with large-scale real-time streaming, augmented reality, or data curation.\n\nPrior background with Spark.\n\nExposure to the latest advances in AI, including Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation (RAGs).\n\nInnovative results, including patents, publications, or open source contributions.\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 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 September 27, 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. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":3293,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","Autonomous Driving","Computer Components"],"lifecycle":[{"event":"open","at":"2026-09-23T22:29:10Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-data-backend-engineer-2","json_url":"https://alion.io/job/nvidia-senior-data-backend-engineer-2.json","meta":{"generated_at":"2026-09-24T13:50:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}