We are looking for a software engineering manager to lead our verification efforts for compilers for the machine learning domain. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies include LLMs, Computer Vision, Encryption, autonomous vehicles and countless others. Did you know our team develops the compilers for GPU acceleration to help make these possible?
In this role, you will lead an engineering team designing, developing, and optimizing tests to verify various elements of the software stack. Ideal candidates will not only have experience leading software test teams, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!
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What you'll be doing:
- Lead, mentor, and grow your compiler verification team and be responsible for the planning and execution of projects as well as the quality, and performance of our compilers.
- Work closely with NVIDIA compiler development teams to define test requirements, scope projects, allocate resources and monitor progress.
- Interact with NVIDIA teams to understand their use cases and requirements. Define and track key objectives, and champion process improvement initiatives.
- Participate in software classification and qualification processes.
What we need to see:
- PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred (or equivalent experience).
- 8+ years of overall experience with high-performance software in a development or test role.
- 3+ years of experience in a leadership/ supervisory/ management role (i.e. recruiting, training, mentoring and leading software engineering teams.)
- Strong fundamentals in software testing.
- Hands-on experience testing software for functionality and performance using C++ and Python.
- Strong collaboration, communication, and documentation habits.
- Experience with agile software development practices using project management tools such as JIRA.
Ways to stand out from the crowd:
- Experience working in a globally distributed organization.
- Experience with parallel programming, ideally using CUDA, LLVM or MLIR.
- Good knowledge of CPU and/or GPU hardware architecture.
- Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., TensorRT, JAX, TensorFlow...).
- Demonstrated track record of success in a management / leadership position.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our team with varied strengths of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
The base salary range is 200,000 USD - 385,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.