NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPUs are being used in many of the largest high performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications in the world for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world.
We are now looking for a Compiler Engineering Manager! NVIDIA’s HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team building one of the world's most important optimizing compiler products. Your work will support development of compilers for high-performance computing and drive the underlying technology that powers GPU code generation for Python, C++, Fortran, OpenACC and OpenMP. Do you love the inherent challenges of complex software projects and driving systemic improvements in compiler performance and development methodologies? Are you self-motivated and a comfortable in a fast-paced team? Being a compiler engineering manager requires both traditional software management skills and a dedication to the success of our end users. We are looking for a manager to lead teams working on compiling Python, C++, and Fortran HPC applications, measuring performance, and charting the journey to speed-of-light execution. If you want to drive innovative compiler development in high-performance computing, then we want you!
What you'll be doing:
Managing a team of experienced compiler and performance engineers
Establish team objectives to meet schedules and goals.
Act as a mentor and advisor to grow our next generation of leaders.
Establish and evolve policies and procedures that affect the immediate organization.
Communicate with senior management for team vision and development.
What we need to see:
Degree in Computer Science, ECE or equivalent experience; (Ph.D. or Masters preferred)
A software engineer with 10+ overall years of experience with at least 4+ years of hands-on management
Strong software design fundamentals and a deep understanding of compilers and programming languages
Knowledge of software engineering principles
Ways to stand out from the crowd:
Contributing to LLVM or other open source projects
Familiarity with GPU code generation, OpenMP, and OpenACC standards
Knowledge of compiler internals from front end to run-time environment
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Degree in Computer Science, ECE or equivalent experience
- 10+ years of overall software engineering experience
- 4+ years of hands-on management experience
- Strong software design fundamentals and understanding of compilers
- Knowledge of software engineering principles
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
