NVIDIA is seeking a skilled professional to join their team focused on LLM architectures and inference workloads. The role involves building performance models and developing agents to enhance simulation workflows. Collaboration with various teams is essential to improve modeling accuracy and guide optimization efforts. This position offers the opportunity to work in a dynamic environment that values innovation and diversity.

• MS in Computer Science or a related field with 5+ years of experience.
• Familiarity with modern LLM architectures and their inference characteristics.
• Experience with simulation, profiling, or performance modeling, including roofline analysis for LLM inference.
• Strong analytical skills and a rigorous approach to experimentation and validation.
• Strong software engineering skills and experience building reliable engineering tools using coding agents.

• Build and validate performance models for LLM architectures across GPU, LPU, and heterogeneous systems.
• Develop agents to automate simulation workflows, analyze bottlenecks, and accelerate design space exploration.
• Collaborate with hardware architecture, inference, runtime, and compiler teams to improve modeling accuracy and guide optimization.

• 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.