{"id":3416333,"url":"https://alion.io/job/nvidia-senior-full-stack-software-engineer","title":"Senior Full-Stack 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":"B","score":81,"open_postings":774,"ghost_share":0.022,"stale_share":0.69,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-30T05:48:23Z"}},"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":["Seattle, United States","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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-28T19:33:34Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T23:07:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. Today, we're at the forefront of AI innovation powering breakthroughs in research, autonomous vehicles, robotics, and more. The DGX Cloud team builds and operates the AI infrastructure that fuels this progress. We’re looking for a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The AI Hub team accelerates AI research by ensuring NVIDIA’s AI infrastructure is used efficiently, transparently, and at scale. Our focus is building a unified, self-service “single pane of glass” portal that enables AI researchers to manage, monitor, and optimize their usage of Managed AI research Superclusters.\nThis role is ideal for an experienced engineer who enjoys owning well-scoped features end-to-end, collaborating closely with peers and senior engineers, and building reliable, user-facing systems that operate at scale.\nWhat You’ll Be Doing:\nDesign, implement, and maintain full-stack features across frontend, backend services, and data layers, meeting defined reliability, availability, and performance expectations.\n\nOwn delivery of well-scoped components or features, from design through implementation, testing, and production support.\n\nContribute to system reliability, performance, and observability improvements by identifying bottlenecks, fixing issues, and following established best practices.\n\nCollaborate with product managers, designers, and AI research stakeholders to understand user needs and translate them into clear technical solutions.\n\nParticipate in design reviews, code reviews, and on-call rotations to help maintain a high-quality, production-ready system.\n\nFollow and contribute to team standards for code quality, testing, security, and CI/CD.\n\nLearn and apply modern practices in cloud infrastructure, deployment, and monitoring with guidance from senior engineers.\n\nWhat We Need To See:\n5+ years of professional software engineering experience building and operating production web systems.\n\nBachelor’s degree in Computer Science or a related technical field (or equivalent experience).\n\nSolid experience with full-stack development, including:\nModern frontend frameworks (React / Next.js or similar)\n\nJavaScript / TypeScript\n\nOne or more backend languages such as Node.js, Python, or Go\n\nHands-on experience with cloud platforms (AWS, GCP, or Azure), containers (Docker), and basic orchestration concepts (Kubernetes).\n\nFamiliarity with RESTful API design, schema evolution, and integration patterns.\n\nExperience working with observability tools such as Prometheus, Grafana, OpenSearch, or similar.\n\nStrong problem-solving skills, attention to detail, and the ability to work effectively within a team.\n\nClear written and verbal communication skills and a willingness to learn and grow.\n\nWays to Stand Out from the Crowd:\nExperience building internal platforms or self-service tools for engineers or researchers.\n\nExposure to machine learning infrastructure or AI workloads (hands-on or close collaboration with ML teams).\n\nFamiliarity with GPU-backed systems or large-scale distributed environments.\n\nExperience using AI-assisted development tools to improve productivity and code quality.\n\nAt NVIDIA, you’ll be immersed in a diverse, supportive environment where you’re empowered to do your best work. The DGX Cloud AI Infrastructure team is at the core of NVIDIA’s AI efforts building the software that makes scalable research possible. Join us and help power the next wave of innovation. NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth.\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 November 1, 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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