{"id":47461,"url":"https://alion.io/job/nvidia-principal-software-engineer-dgx-cloud","title":"Principal Software Engineer - DGX Cloud","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":87,"open_postings":396,"ghost_share":0.015,"stale_share":0.472,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","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","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":272000,"max":431250,"currency":"USD","period":"year","gross":null,"usd_annual":431250},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-12T01:06:07Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":65},"description":"Join NVIDIA, a leader in digital imagery, PC gaming, and advanced computing, as a Principal Software Engineer for DGX Cloud. At NVIDIA, our innovation legacy drives us, fueled by the passion of our world-class team. This role presents an outstanding opportunity to lead and build the future of cloud computing on ambitious projects that challenge technological limits. Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? Do you thrive when your work directly empowers teams to push the boundaries of what's possible? We're the DSX Kubernetes Fleet team within NVIDIA's DGX Cloud organization - a collaborative group of cloud platform engineers, architects, and SREs who are passionate about building automation, lifecycle management, and deployment safety to our massive GPU accelerated container platform. We are empowering the world's leading AI teams to train and deploy at AI Factory scale, with resiliency and security as top priorities.\nWe design and build APIs and workflows that thoughtfully turn high-level deployment intent into production-ready AI infrastructure management. We take pride in owning our code end-to-end, and we care deeply about the full lifecycle of AI Factory Kubernetes clusters, from provisioning through upgrades and decommissioning. We build software in the open, with a goal of enabling new AI Factories to be built at speed of light.\nWhat you will be doing:\nBe part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.\n\nDesign and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs.\n\nJoin the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.\n\nCollaborate with engineering teams across NVIDIA to ensure seamless integration of your software.\n\nAutomate and optimize build, test, integration, and release processes for cloud-native applications.\n\nEfficiently multitask across different projects, addressing evolving priorities effectively.\n\n What we need to see:\nBS/MS in Computer Science or related field (or equivalent experience).\n\n15+ years of proven work experience in large scale environments.\n\nExpert-level knowledge in systems programming languages (Go, C) with a solid grasp of Data Structures and Algorithms.\n\nStrong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.\n\nIn-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.\n\nHands-on automation experience with modern infrastructure tools and technologies.\n\nProven experience in setting up, maintaining, and automating continuous deployment systems.\n\nStrong background in Cloud Computing and Distributed Software design and development.\n\nUnderstanding of performance, security, and reliability in complex distributed systems.\n\nWays to stand out from the crowd:\nExtensive experience with the Go programming language.\n\nDeep understanding of rack-scale GPU systems\n\nStrong background with Gitlab, Argo, Flux, and other CI/CD systems.\n\nSignificant hands-on experience with Containers and Kubernetes.\n\nHands-on experience with container workload isolation and confidential computing.\n\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: E-commerce Payments and Gaming Marketplace. If you're a creative Technical Program Manager who enjoys autonomy and shares our passion for technology, 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 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until August 11, 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":4646,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-07T00:00:00Z"},{"event":"close","at":"2026-08-10T10:04:41Z"},{"event":"reopen","at":"2026-09-03T08:08:33Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.62,"p_room":0.28,"age_days":64,"expected_fill_days":29,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":431250,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-principal-software-engineer-dgx-cloud","json_url":"https://alion.io/job/nvidia-principal-software-engineer-dgx-cloud.json","meta":{"generated_at":"2026-10-12T01:47:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2442,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-principal-software-engineer-dgx-cloud"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-principal-software-engineer-dgx-cloud"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-principal-software-engineer-dgx-cloud"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-principal-software-engineer-dgx-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-principal-software-engineer-dgx-cloud"}]}