{"id":2967576,"url":"https://alion.io/job/nvidia-senior-solutions-architect-ai-and-hpc-infrastructure","title":"Senior Solutions Architect, AI and HPC Infrastructure","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":84,"open_postings":772,"ghost_share":0.022,"stale_share":0.583,"repost_share":0.04,"time_to_fill_p50_days":40,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"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":"CI/CD","optional":false},{"name":"Digital Twin","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NCCL","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-03T03:45:28Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"NVIDIA is seeking an outstanding AI Solutions Architect to assist and support energy-sector customers - power generation, oil & gas, transmission and distribution / grid, and renewables - as they build and operate AI infrastructure on NVIDIA's accelerated computing platforms. At NVIDIA, our solutions architects work across product, engineering, sales, developer relations, business development, and partner teams to help customers design, deploy, and optimize AI infrastructure for the energy industry. This role will focus on helping energy accounts from datacenter to the edge adopt NVIDIA accelerated infrastructure for training, fine-tuning, inference, retrieval, and agentic AI and HPC workloads. This is an excellent opportunity to work in an interdisciplinary team at NVIDIA! You will serve as a technical advisor for accelerated systems architecture, GPU and networking systems, cluster design, orchestration, validation, and production deployment for AI data centers and edge environments serving energy customers.\nWe need a curious, collaborative, and creative individual to advance these opportunities across AI infrastructure, industrial digital twins, and accelerated computing for the energy sector, and to become a trusted technical advisor bridging our industry, infrastructure, and partner teams. Engaging with internal developers, researchers, data scientists, and senior leaders is a core part of the role and offers exposure to a wide range of partners and challenges.\nWhat you'll be doing:\nPartner with energy-sector customers, ISVs, and account teams on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance for AI infrastructure.\nAdvise on the design, build-out, and optimization of accelerated AI infrastructure for energy customers, including large-scale GPU clusters, AI factories, and edge deployments.\nSupport infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations for energy-sector AI workloads.\nDrive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight.\nDocument what you learn and teach others - through targeted samples, whitepapers, blogs, and working through hard problems with customers.\nBuild repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers for energy-sector AI infrastructure.\nStrategically partner with flagship customers and industry-specific solution partners targeting our computing platform.\nCollaborate primarily through virtual tools, and be empowered to find the best way to make our partners and customers successful. Travel up to 20% for customer meetings may be required.\nWhat we need to see:\nBS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, other Engineering, or related field (or equivalent experience).\n8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms, with strong experience designing, deploying, and operating accelerated computing infrastructure at scale.\nIn-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines, and understanding of data center networking technologies such as InfiniBand, Ethernet, RDMA, network configuration, and performance tuning.\nFamiliarity with infrastructure requirements for AI workloads, including distributed training, inference serving, model deployment, storage performance, and cluster reliability.\nWorking knowledge of one or more energy sectors (power generation, oil & gas, transmission and distribution / grid, or renewables) and their operational and IT environments.\nExcellent presentation, communication, problem-solving, documentation, and collaboration skills.\nStrong problem structuring and the self-direction to drive ambiguous, multi-stakeholder projects to results.\nWays to stand out from the crowd:\nExperience architecting AI factories, large GPU clusters, multi-node training environments, or production inference platforms.\nExperience deploying LLM training, fine-tuning, RAG, and inference workflows on large-scale AI infrastructure.\nExperience evaluating cluster performance using benchmarks such as MLPerf, HPL, or workload-specific performance tests.\nApplications and systems-level knowledge of OpenMPI, NCCL, distributed training frameworks, and GPU communication patterns.\nComfortable with modern application-deployment practices such as Docker/Containers and Kubernetes.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 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 24, 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":5840,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-21T00:48:13Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":0.9,"age_days":14,"expected_fill_days":40,"reasons":["conf:2","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-solutions-architect-ai-and-hpc-infrastructure","json_url":"https://alion.io/job/nvidia-senior-solutions-architect-ai-and-hpc-infrastructure.json","meta":{"generated_at":"2026-11-03T07:47:15Z","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":11177,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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-senior-solutions-architect-ai-and-hpc-infrastructure"},{"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-senior-solutions-architect-ai-and-hpc-infrastructure"},{"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-senior-solutions-architect-ai-and-hpc-infrastructure"},{"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-senior-solutions-architect-ai-and-hpc-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-solutions-architect-ai-and-hpc-infrastructure"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2967576}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2967576},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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