Senior CPU Compiler Performance Engineer

Job Title

Senior CPU Compiler Performance Engineer

Role Summary

Design and implement compiler optimizations and tooling for NVIDIA CPUs to maximise performance for AI, HPC and data-centre workloads. Work on hardware–software co-design, collaborating with CPU architecture teams, distributed partners and upstream open-source projects.

This role focuses on performance analysis, compiler code generation and contributing production-quality C++ compiler software used across NVIDIA compute products.

Experience Level

Senior — 8+ years of relevant industry experience as stated in the posting.

Responsibilities

Primary responsibilities include:

• Design and implement compiler features, optimizations and code generation targeting NVIDIA CPUs.
• Profile and analyse AI and HPC workloads to identify performance bottlenecks.
• Work closely with CPU architects and pre-silicon teams to guide hardware–software co-design.
• Develop and maintain high-performance compiler software in C++.
• Engage with upstream and open-source compiler projects to contribute improvements and integrate changes.
• Use performance modeling, simulation and analysis tools to validate optimizations.
• Collaborate with geographically distributed partner teams to align compiler and hardware roadmaps.

Requirements

Key qualifications and skills.

• Must-have: Practical experience in compiler development or equivalent projects.
• Must-have: Knowledge of language front-ends, compiler optimisation techniques and code generation modules.
• Must-have: Strong hands-on C++ programming skills and experience delivering production software.
• Must-have: Good CPU architecture understanding and low-level performance analysis, with experience in pre-silicon hardware/software co-design.
• Must-have: Excellent verbal and written communication skills.
• Nice-to-have: Experience with performance modeling, simulation and advanced performance analysis tools.
• Nice-to-have: Familiarity with industry compiler infrastructures such as GCC, LLVM or MLIR.
• Nice-to-have: Domain knowledge of AI algorithms, scientific HPC applications and related code optimisations.
• Nice-to-have: Experience with CPU ISAs such as Arm (AArch32/AArch64), RISC-V, x86_64, PowerPC or DSPs and working on pre-silicon toolchains.
• Nice-to-have: Track record of contributions to free software or open-source compiler communities.

Education Requirements

BS or MS in Computer Science, Computer Engineering or a related technical field, or equivalent practical work experience; equivalent experience explicitly accepted.

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.