NVIDIA is seeking an engineer to develop compiler verification software and infrastructure for deep learning workloads. This role involves working with a diverse team to solve critical problems in GPU computing and systems software. The engineer will focus on ensuring the correctness of deep learning compilers and optimizing performance. This position offers an opportunity to make a significant impact in the AI space.

• BS, MS or PhD in Computer Science, Computer Engineering, Mathematics, or equivalent experience
• 3+ years of hands-on engineering experience in compiler development, deep learning systems, or compiler verification
• Deep proficiency in Python or C++ and experience with one major deep learning framework such as PyTorch, JAX/XLA, or TensorRT
• Strong systems intuition and debugging depth

• Design and build systems to reason about correctness in deep learning compilers across graph transformations, IR lowering, and GPU execution
• Work with deep learning compiler and architecture teams to analyze and validate sophisticated optimizations
• Engineer test generation systems that use deep learning solutions and analysis methods to drive in-depth testing
• Define and improve how to measure and guarantee functional quality and performance as models, compiler stacks, and hardware evolve

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.