Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
GPU @ 3
HPC
LLVM @ 6
Python
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA's HPC Compiler team is looking for a Compiler Engineering Manager to lead teams developing optimizing compilers for high-performance computing. The work supports GPU code generation for Python, C++, Fortran, OpenACC, and OpenMP, including compiling HPC applications, measuring performance, and improving execution speed and compiler development methodologies.
Responsibilities
- Manage a team of experienced compiler and performance engineers.
- Establish team objectives to meet schedules and goals.
- Mentor and advise employees to help develop the next generation of leaders.
- Establish and evolve policies and procedures affecting the immediate organization.
- Communicate team vision and development plans to senior management.
Requirements
- Degree in Computer Science, ECE, or equivalent experience; a master's degree or Ph.D. is preferred.
- 10 or more years of overall experience as a software engineer, including at least 4 years of hands-on management experience.
- Strong software design fundamentals and a deep understanding of compilers and programming languages.
- Knowledge of software engineering principles.
Preferred Qualifications
- Contributions to LLVM or other open-source projects.
- Familiarity with GPU code generation, OpenMP, and OpenACC standards.
- Knowledge of compiler internals from the front end through the runtime environment.
Benefits
- Competitive salary.
- Equity eligibility.
- Benefits package.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
Applications for this job will be accepted at least until March 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
More jobs at Nvidia
User Interface - User Experience Designer
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
Senior QA Software Engineer, Networking
Nvidia · Warsaw, Poland
PLN 157,500-357,500 per year
Senior Application Engineer, HPC and AI for Physics
Nvidia · United States
USD 140,000-270,200 per year
Senior QA Software Engineer, Networking
Nvidia · Warsaw, Poland
PLN 157,500-357,500 per year
Senior System Software Engineer
Nvidia · Santa Clara, United States
USD 152,000-241,500 per year
Similar jobs
Senior Software Engineer, CUDA Rust Core Libraries
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Engineer, CUDA Python Core Libraries
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Engineer, CUDA C++ Core Libraries
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Deep Learning Tools Engineer – CUDA Tile
Nvidia · Santa Clara, United States
USD 152,000-241,500 per year
Senior Software Engineer, AI Inference Systems
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Engineer, AI Inference Systems
Nvidia · Germany
PLN 292,500-650,000 per year
Senior Software Engineer, AI Inference Systems
Nvidia · Toronto, Canada
CAD 170,000-275,000 per year
Systems Generalist, GPT Infrastructure
OpenAI · San Francisco, United States, Seattle, United States
USD 293,000-445,000 per year