Compiler Engineering Manager - Deep Learning

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow, Deep Learning, Natural Language Processing (NLP)

Job Description

We are now looking for an Engineering Manager to lead the Deep Learning Compiler Team.

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:

In this role, you will be managing a team of experienced compiler engineers to analyze deep learning networks and develop compiler optimization algorithms. You will 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. You’ll collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software. 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

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 Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.