Software Engineering Manager, Deep Learning Compilers

Key Skills

Aartificial intelligence, Algorithms, CUDA/GPU programming, Deep Learning, Design, Leadership Skill, Natural Language Processing (NLP), OpenCL, Optimization

Job Description

We are now seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join our Deep Learning Compiler Team. We are working to help develop technologies for hard problems in compiling Deep Learning models for current and future generations of GPU. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence. As deep learning models are becoming more versatile, using compiler technologies to achieve both high performance and high productive becomes essential. Join the team to build the software that will boost the entire deep learning community.

What you'll be doing:

• Managing a team of experienced compiler engineers to analyze deep learning networks and develop compiler optimization algorithms.

• Establish team objectives to meet schedules and goals, establish and evolve policies and procedures that affect the immediate organization, communicate with senior management for team vision and development.

• Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

• Insuring the scope of your team's efforts includes: defining public APIs, performance tuning and analysis, crafting and implementing compiler and optimization techniques for neural networks, and other general software engineering work.

What we need to see:

• Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience)

• A software engineer with 9+ years of overall experience with at least 6+ of those years with 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:

• Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience

• Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design.

• Knowledge of compiler internals from front end to run-time environment

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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.

The base salary range is 216,000 USD - 414,000 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.