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.If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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