{"id":3362194,"url":"https://alion.io/job/nvidia-deep-learning-performance-architect-new-college-grad-2027","title":"Deep Learning Performance Architect - New College Grad 2027","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":83,"open_postings":811,"ghost_share":0.026,"stale_share":0.583,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124000,"max":195500,"currency":"USD","period":"year","gross":null,"usd_annual":195500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Transformers","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-27T21:45:17Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-11T16:51:30Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"NVIDIA is at the forefront of the generative AI revolution. We are looking for New College Graduates to join our GPU compute architecture and performance engineering team, dedicated to pre-silicon modeling, data-supported architecture exploration, and GPU microarchitecture improvement for LLM inference, agentic AI, and other generative AI workloads. As a Deep Learning Performance Architect, you will help improve the efficiency and scalability of large language models (LLMs), agentic AI systems, and other generative AI models on NVIDIA platforms. You will gain hands-on experience with pre-silicon performance modeling, correlation, bottleneck analysis, GPU architecture studies, and system-level analysis, while collaborating with engineers across kernel, hardware, and performance teams.\nThis role offers an opportunity to contribute to real-world studies that help shape the performance of next-generation LLMs, agentic AI systems, and other generative AI models in data center and edge environments. You will help develop the system-level modeling and correlation solutions needed for accurate projections and for guiding performance and efficiency improvements in the agentic era.\nWhat you’ll be doing:\nBuild or improve pre-silicon performance and system-level models to better understand workload behavior, architecture tradeoffs, and projection accuracy\nDevelop correlation methodologies to compare model projections with lower-level analyses or available reference data and improve model fidelity\nStudy how GPU microarchitecture and system-level design choices affect end-to-end performance, efficiency, scalability, and projection fidelity\nIdentify performance bottlenecks across model execution, kernels, data movement, and system behavior\nExplore and evaluate architecture ideas that improve performance, efficiency, or model fidelity\nCollaborate with kernel, hardware, and framework teams to better understand end-to-end behavior for LLMs, agentic AI systems, and other generative AI models\nUse profiling and benchmarking tools as needed to support model development, analysis, and correlation\nPresent findings and insights through clear analysis and visualization\nWhat we need to see:\nBS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience\nGood programming skills in C++ and Python, with solid software engineering fundamentals\nBasic understanding of modern deep learning models such as Transformers or LLMs\nInterest in pre-silicon modeling, GPU architecture, correlation, system-level behavior, or systems optimization\nExposure to computer architecture, parallel programming, performance analysis, correlation, system modeling, or related systems topics through coursework, research, internships, or projects\nFamiliarity with at least one ML framework, modeling environment, profiling tool, or software stack passionate about efficiency such as PyTorch, TensorRT-LLM, Triton, Nsight, vLLM, or similar\nAbility to reason about performance tradeoffs and debug technical issues\nStrong communication skills and ability to work well with others on a team\nWays to stand out from the crowd:\nExperience with CUDA programming, GPU performance analysis, performance modeling, correlation, system-level analysis, or profiling tools\nHands-on work with performance-sensitive systems, computer architecture, or ML infrastructure through coursework, projects, internships, or research\nCuriosity about how systems work under the hood and a strong drive to solve hard problems\nMotivation to learn quickly, take ownership, and make steady progress on open-ended work\nAbility to work independently, explore unfamiliar technical areas, and follow through on exciting problems with personal, academic, or open-source projects related to GPU architecture, performance engineering, ML systems, agentic AI systems, or developer tools\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 31, 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":4794,"description_truncated":false,"requirements":{"experience_years_min":null,"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":"2026-10-27T21:45:17Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2,856 · green card filings: 799","filings_12m":2856,"filings_prev_12m":1684,"green_card_filings_12m":799,"median_offered_wage_usd":186407,"route":null,"cap_exempt":false,"checked_at":"2026-11-11T07:38:50+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1330}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.631,"p_room":1,"age_days":14,"expected_fill_days":42,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":{"stated_usd_annual":195500,"is_top_pay":false},"html_url":"https://alion.io/job/nvidia-deep-learning-performance-architect-new-college-grad-2027","json_url":"https://alion.io/job/nvidia-deep-learning-performance-architect-new-college-grad-2027.json","meta":{"generated_at":"2026-11-11T19:00:45Z","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":36644,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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-deep-learning-performance-architect-new-college-grad-2027"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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-deep-learning-performance-architect-new-college-grad-2027"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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-deep-learning-performance-architect-new-college-grad-2027"},{"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-deep-learning-performance-architect-new-college-grad-2027\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-deep-learning-performance-architect-new-college-grad-2027"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3362194}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3362194},"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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