Senior CPU Compiler Performance Engineer
NVIDIA · Posted Oct 21
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's compiler organisation builds compilers that realize the potential of NVIDIA CPUs, including Grace CPU, designed for the world's largest AI and computing markets, and contributes to every CPU, GPU and compute unit NVIDIA builds. The work targets AI, HPC and other performance-critical software deployed in NVIDIA data centres, on the cloud and at supercomputing centres. This senior role involves designing compiler and hardware software together, analyzing AI workloads, developing performance-optimized compiler software, and contributing to upstream and open source compiler communities.
What you will do
- Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA.
- Analyse AI workloads to champion improvements in both new hardware and compiler toolchain and improve hardware-software co-design.
- Contribute new features and optimisation techniques targeting NVIDIA CPUs engaging with upstream and open source communities.
- Develop compiler SW that is optimised for performance.
- Be part of a team that is at the centre of artificial intelligence, high-performance computing and data centre technologies.
- Contribute towards the development of next generation compute
Skills used in this role
What the employer is looking for
- 8+ years of experience e with BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent work experience
- Experience with compiler development or a related academic project.
- Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.
- Strong hands-on C++ programming skills
- Good CPU architecture and low level performance analysis skills with hands-on experience of pre-Silicon hardware / software co-design.
- Excellent verbal and written communications skills
Preferred qualifications
- Knowledge of workload analysis and the ability to drive improvements in hardware ,software, libraries and compilers including demonstrable ability of effectively improving hardware and software by all performance tools at disposal including but not limited to performance modeling / simulation and performance analysis tools.
- Expertise with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC-V, x86_64, PowerPC or DSPs and engaging with pre-silicon compiler and toolchain contributions.
- A track record of working with industry standard compiler infrastructure such as GCC, LLVM or MLIR
- Knowledge of AI algorithms, scientific HPC applications and related code optimisations.
- Significant contributions to free software and open source compiler communities.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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