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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.
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.
As a new-grad Compiler Engineer focused on AI inference, expect work on lowering high-level model ops to efficient GPU code paths: analyzing IR, optimizing kernels and memory layouts, debugging correctness/perf, and partnering with runtime and hardware teams so models run faster and more reliably on Nvidia platforms.
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.
The listing marks remote as no; location is US, CA, Santa Clara (on-site).
Per its public profile, Nvidia develops GPUs, SoCs, and APIs used heavily in AI, HPC, and related compute markets, headquartered in Santa Clara.
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Website: nvidia.com
Nvidia Corporation is an American multinational technology company headquartered in Santa Clara, California. The company develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, artificial intelligence (AI), and mobile and automotive applications. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, Nvidia has been widely described as a Big Tech company.
Public cache only — not an employee review.
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…
Generated for personal interview prep · 2026-07-16 UTC · getajob.ai