CPU Performance Developer Technology Engineer
NVIDIAJob Title
CPU Performance Developer Technology Engineer
Role Summary
Join the Compute Developer Technology (Devtech) team to research, design, and implement CPU performance optimizations for NVIDIA Grace/Vera platforms. Work with external developers and internal architecture and software teams to improve performance across AI preprocessing, scientific/HPC, and data-intensive workloads.
Experience Level
Mid-level — the role expects experienced engineers (typically 3–7 years); the posting specifies 5+ years of relevant experience.
Responsibilities
Deliver performance improvements across software stacks and influence CPU and toolchain design.
- Collaborate with developers, researchers, and framework maintainers to identify and resolve performance issues in AI, analytics, simulation, and numerical computing workloads.
- Profile and analyze performance from application algorithms to low-level microarchitecture to locate bottlenecks.
- Implement optimizations in applications, libraries, and reference implementations to improve CPU throughput and efficiency.
- Contribute to open-source frameworks and performance libraries to enable broader adoption of optimizations.
- Work with architecture, research, tools, libraries, and system software teams to improve platform performance and developer workflows.
- Provide performance insights that inform next-generation CPU designs and compiler/toolchain improvements.
Requirements
Must-have technical skills and experience.
- Minimum 5 years of relevant experience in performance engineering or CPU optimization.
- Strong programming skills in C/C++ and/or Python; solid understanding of algorithms and software architecture.
- Deep understanding of CPU microarchitecture, performance analysis tools, and optimization methodologies.
- Proven experience with CPU benchmarking and bottleneck-driven performance tuning.
- Excellent communication and organizational skills; ability to collaborate across teams and manage multiple priorities.
- Nice-to-have: experience optimizing AI or data preprocessing pipelines on CPUs; familiarity with HPC, parallel computing, and distributed runtimes; hands-on SIMD/intrinsics/vectorization; contributions to open-source performance or HPC frameworks.
Education Requirements
BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
