CPU Performance Developer Technology Engineer

NVIDIA is seeking a highly skilled and motivated CPU Optimization Engineer to join our Compute Developer Technology (Devtech) team.

In this role, you’ll research, design, and implement performance optimization strategies across a broad range of workloads,including AI data preprocessing, scientific and HPC applications, and emerging data-intensive computing domains,on NVIDIA Grace/Vera CPUs.

Responsibilities:

• Collaborate with developers, researchers, and framework maintainers across industries to identify and resolve performance challenges in diverse workloads such as AI, data analytics, simulation, and numerical computing.
• Profile, analyze, and optimize CPU performance from application-level algorithms down to low-level microarchitecture.
• Contribute to open-source frameworks, key software stacks, reference implementations, and performance libraries to unlock full CPU potential.
• Work closely with NVIDIA’s architecture, research, libraries, tools, and system software teams to improve our overall platform performance.
• Provide insights that shape next-generation CPU designs, compiler toolchains, and development workflows for better developer productivity and throughput.

Requirements:

• BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
• 5+ years of relevant experience in performance engineering or CPU optimization.
• Strong programming proficiency in C/C++ and/or Python, with a deep understanding of algorithms and software architecture.
• Solid grasp of CPU microarchitecture, performance analysis tools, and optimization methodologies.
• Proven track record of CPU benchmarking and bottleneck-driven performance tuning.
• Excellent communication and organizational skills, with the ability to collaborate effectively across teams and manage multiple priorities.

Preferred Qualifications:

• Experience optimizing AI or data preprocessing pipelines on CPUs.
• Familiarity with HPC applications, parallel computing, and distributed runtime environments.
• Hands-on experience with SIMD instruction sets, low-level intrinsics, or vectorization.
• Contributions to open-source performance tools or HPC frameworks.

NVIDIA offers highly competitive salaries, a comprehensive benefits package, and a great company culture.