{"id":102167,"url":"https://alion.io/job/nvidia-principal-software-engineer-e2e-performance-and-goodput-csp-engagements","title":"Principal Software Engineer, E2E Performance and Goodput — CSP Engagements","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":794,"ghost_share":0.025,"stale_share":0.594,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-08T05:47:12Z"}},"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":["Santa Clara, United States","Austin, 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":"CUDA","optional":false},{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"HPC","optional":false},{"name":"Megatron-LM","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"Python","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-11-07","last_verified_at":"2026-11-08T20:35:34Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":88},"description":"We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure they achieve various performance targets on NVIDIA platforms. In this role, you will augment NVIDIA's performance and benchmark teams with a dedicated CSP-facing focus. You will drive work streams with CSP engineering teams to build shared understanding of platform performance characteristics, gather and incorporate their workload-specific feedback into NVIDIA's optimization priorities, and validate that performance targets are met in customer-representative configurations. Your cross-CSP visibility enables you to identify patterns and drive systemic improvements in documentation, configuration guidance, and tooling.\nWhat you'll be doing:\nDrive performance characterization work streams with engineering teams of key CSP/hyperscale customers - ensuring they understand platform performance expectations, profiling methodology, and tuning options for their specific workloads\n\nGather and synthesize CSP performance feedback - identify gaps between expected and actual throughput, and champion optimization priorities back into NVIDIA's CUDA, NCCL, driver, and firmware teams\n\nEnsure key open-source performance and stress tools (e.g., STREAM, GPU Burn, GPU BLAST) are updated and validated for the latest NVIDIA rack-scale systems, GPU architectures, and CPU platforms - so customers and internal teams have reliable baseline measurements from day one\n\nWork closely with CSPs to ensure their own performance and validation tooling reflects the latest GPU capabilities, memory hierarchy changes, and platform-specific tuning parameters\n\nConduct cross-CSP performance comparison and pattern analysis - identify configuration, software, or workload differences that explain performance gaps between deployments\n\nCollaborate with CSPs to ensure performance-related integration work (profiling infrastructure, benchmark harnesses, config validation) is ready ahead of deployment milestones\n\nDefine test strategies and tooling requirements for performance validation - both for NVIDIA internal certification and customer acceptance\n\nWhat we need to see:\n15+ years of experience in systems performance engineering, ideally in GPU/HPC/ML infrastructure. BS or MS in Computer Science, Computer Engineering, or related field (or equivalent experience)\n\nProficiency in GPU workload profiling: nsight systems, nsight compute, DCGM metrics, or equivalent instrumentation\n\nUnderstanding of distributed training performance dynamics: computation/communication overlap, pipeline bubbles, memory bandwidth utilization, collective efficiency\n\nStatistical methods for performance analysis: regression detection, confidence intervals, A/B comparison at scale\n\nUnderstanding of how the full software stack impacts performance: driver overhead, collective algorithm selection, memory allocation, scheduling, firmware power management\n\nStrong data analysis and visualization skills (Python, pandas, dashboards). Customer obsession - genuine passion for understanding why customers aren't achieving expected performance and driving solutions\n\nAbility to communicate performance findings to both deep technical audiences and executive leadership\n\nDemonstrated success influencing multiple engineering teams to prioritize performance improvements\n\nWays to stand out from the crowd:\nExperience profiling and optimizing distributed training at 1000+ GPU scale (Megatron-LM, DeepSpeed, FSDP)\n\nBackground in ML infrastructure performance at a CSP/hyperscaler\n\nFamiliarity with NVIDIA platforms (DGX, HGX, NVLink topology) and profiling tools\n\nExperience building automated performance regression detection systems for production environments\n\nUnderstanding of inference workload performance dynamics (vLLM, TensorRT-LLM, SGLang, continuous batching)\n\nNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you!\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 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":5226,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"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":"2026-08-12T00:00:00Z"},{"event":"close","at":"2026-09-25T02:47:33Z"},{"event":"reopen","at":"2026-11-07T18:38:54Z"}],"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":"2026-11-08T10:45:15+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":1253}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.496,"p_room":0.28,"age_days":88,"expected_fill_days":41,"reasons":["conf:6","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":431250,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-principal-software-engineer-e2e-performance-and-goodput-csp-engagements","json_url":"https://alion.io/job/nvidia-principal-software-engineer-e2e-performance-and-goodput-csp-engagements.json","meta":{"generated_at":"2026-11-08T22:06:55Z","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":46124,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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-principal-software-engineer-e2e-performance-and-goodput-csp-engagements"},{"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-principal-software-engineer-e2e-performance-and-goodput-csp-engagements"},{"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-principal-software-engineer-e2e-performance-and-goodput-csp-engagements"},{"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-e2e-performance-and-goodput-csp-engagements\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-principal-software-engineer-e2e-performance-and-goodput-csp-engagements"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":102167}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":102167},"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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