AI Software Engineer, Kernel Libraries - College Grad
Listed on 2026-06-19
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Job Overview
We’re looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack. We build innovative AI systems software to accelerate AI inference. As a member of the team, you’ll develop libraries, code generators, and GPU kernel technologies for NVIDIA’s hardware architecture, including new abstractions, efficient attention kernel implementations, new LLM inference runtime components, and kernel code generators to accelerate large language models, agents, and other high‑impact AI workloads.
Responsibilities- Innovating and developing new AI systems technologies for efficient inference.
- Designing, implementing, and optimizing kernels for high‑impact AI workloads.
- Designing and implementing extensible abstractions for LLM serving engines.
- Building efficient just‑in‑time domain‑specific compilers and runtimes.
- Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU architecture teams.
- Contributing to open source communities like Flash Infer, vLLM, and SGLang.
- Master’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience);
PhD preferred. - 2+ years (academic/industry) experience with ML/DL systems development (preferable).
- Strong experience in developing or using deep learning frameworks such as PyTorch, JAX, Tensor Flow, ONNX, etc., and ideally inference engines and runtimes such as vLLM, SGLang, and MLC.
- Strong Python and C/C++ programming skills.
- Background in domain‑specific compiler and library solutions for LLM inference and training such as Flash Infer, Flash Attention.
- Expertise in inference engines like vLLM and SGLang.
- Expertise in machine learning compilers such as Apache TVM, MLIR.
- Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar).
- Open‑source project ownership or contributions.
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.
ApplicationsApplications for this job will be accepted until June 19 2026. This posting is for an existing vacancy.
Equal Employment Opportunity StatementNVIDIA is committed to fostering an inclusive work environment and is proud to be an equal‑opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in 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.
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