- Company: Nvidia
- Location: US, CA, Santa Clara
Nvidia at a glance
nvidia.com- Founded 1993
- Employees 11528
- Ticker NVDA
- Revenue (FY2026) $215.94B
- Net income $120.07B
Investor research: Yahoo Finance · SEC filings
Federal funding recipient: largest known award $9K from the Department of Health and Human Services (started Jun 27, 2018) — via USAspending.gov
Quadro gv100
10,681 employees covered under a retirement plan (2021 filing) — via DOL Form 5500 / EFAST2
Registered as a global legal entity (LEI 549300S4KLFTLO7GSQ80, US) — via GLEIF
Nvidia is a Santa Clara–based tech company founded in 1993 (ticker NVDA). It builds GPUs, SoCs, and software for AI, data science, high-performance computing, and related markets. Public facts list roughly 11,500 employees.
201,031 Wikipedia views in June 2026 — a rough gauge of public visibility.
The Compiler Engineer, AI Inference- New College Grad 2026 opening at Nvidia places talented recent graduates right in US, CA, Santa Clara. This full-time opportunity lets new college grads help shape the software layers that transform AI models into fast, efficient executable code for demanding inference workloads.
Position Summary
As a Compiler Engineer, AI Inference- New College Grad 2026 on the Nvidia team in Santa Clara, California, you will work at the intersection of compilation technology and modern AI systems. The role centers on creating and refining compilation pipelines that take high-level neural network descriptions and produce highly optimized runtimes for inference. Designed expressly for students graduating in 2026, this full-time position gives entry-level engineers hands-on experience with intermediate representations, target-specific lowering, and performance-critical code generation while collaborating closely with senior engineers and research groups.
What You'll Do
- Design and implement compiler passes that improve latency, throughput, and memory efficiency for AI inference graphs
- Lower high-level machine-learning operators into optimized intermediate forms suitable for code generation
- Investigate and resolve correctness and performance issues observed during compilation or execution of inference workloads
- Contribute to backend code emitters that map intermediate representations onto specialized hardware instructions
- Profile end-to-end inference flows, identify bottlenecks, and prototype targeted optimizations
- Collaborate daily with peers across software and systems groups to integrate compiler improvements into larger frameworks
- Document new techniques, share findings in design reviews, and refine tools used across the organization
What You Bring
- Expected graduation in 2026 with a bachelor’s or master’s degree in computer science, computer engineering, or a closely related field
- Coursework or project experience covering compilers, programming languages, or systems programming
- Solid programming skills in C++ and familiarity with Python for prototyping and tooling
- Working knowledge of data-flow analysis, graph algorithms, and intermediate representation design
- Understanding of computer architecture concepts such as pipelining, caches, and instruction-level parallelism
- Demonstrated ability to debug complex software and reason about performance at both the algorithmic and machine levels
- Strong communication skills and eagerness to learn from experienced engineers while contributing original ideas
About the Company
Nvidia is hiring for this Compiler Engineer, AI Inference- New College Grad 2026 role and offers a supportive team environment.
Applying for This Role
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To apply for this job please visit nvidia.wd5.myworkdayjobs.com.
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What people say about Nvidia
Available discussion links are older Hacker News threads and do not provide current employer reviews or ratings. Recent headlines focus on market share, product timing, and platform access rather than workplace culture—treat them as market context, not glassdoor-style feedback.
- Disney's Hyperion Renderer
- Ask HN: Who is hiring? (August 2015)
- Ask HN: $8k on AWS in August for you, any interesting computations?
- Which Is the Top Tech Company to Work For?
Recent news
- Chinese Firms Leave Nvidia for Local AI Suppliers, Survey Shows - Bloomberg.com
- Nvidia’s Bargain Price Already Reflects Lost Market Share, Says Goldman - Barron's
- Nvidia Corp. (NVDA) Announces a Profit-Sharing Program For Its Computing Framework Access - Yahoo Finance
- Nvidia Server Delay Report Sends Asian Tech Stocks Sliding - Bloomberg.com
- Nvidia and D-Matrix Announce Joint AI Chip System - The Information
Aggregated from public discussions and news; opinions are the authors’ own.
Working in US
The role is listed for Santa Clara, California (on-site). Company HQ is also in Santa Clara. Broader U.S. location notes only describe the country generally; no city-specific commute, housing, or neighborhood data is in the source set.
🇺🇸 Relocation safety for US: Exercise Normal Caution — via Warnely, CC BY 4.0
National unemployment rate in US: 4.2% — via World Bank
Private-sector wage growth (year over year): 3.3% — via FRED
National quits rate: 1.9% — via FRED (BLS JOLTS)
Weekly initial unemployment claims: 215,000 — via FRED
GDP per capita in US: $90,027 — via World Bank
Consumer price inflation in US: 2.9% (annual) — via World Bank
Real GDP growth in US: 2.2% (annual) — via World Bank
Average hours worked per year in US: 1,800 — via OECD
Build the skills for this role
Prioritize compilers (IR, SSA, codegen), parallel/GPU programming, numerical/perf debugging, and ML inference stack literacy (graphs, kernels, quantization tradeoffs). No certification resources were provided for this listing.
Be ready for coding, systems design at a low level, and compiler/performance questions (graphs, memory hierarchy, concurrency). Prepare a few projects that show optimization or systems depth, and clear explanations of tradeoffs under latency and throughput constraints.
Watch & learn
Video via YouTube.
Strong fit if you like systems-level problem solving, care about making AI workloads fast on GPUs, and want an on-site new-grad role at Nvidia’s Santa Clara hub. Thin if you need remote work or published pay/review data before applying.
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Compiler Engineer, AI Inference- New College Grad 2026
- Employer Nvidia
- Location US, CA, Santa Clara
- Type Full Time
- Posted July 13, 2026
- Apply by 2026-08-12
- Country context US
- Overview Full original description on this page (382 words; rewritten for clarity, not a teaser paste)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Public discussions & open sources
Attributed public threads and profiles — not employee reviews or star ratings.
- Hacker News — Disney's Hyperion Renderer
- Hacker News — Ask HN: Who is hiring? (August 2015)
- Hacker News — Ask HN: $8k on AWS in August for you, any interesting computations?
- Hacker News — Which Is the Top Tech Company to Work For?
Cached public sources (Hacker News, Dev.to, GitHub, etc.).
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