Note: The job is a remote job and is open to candidates in USA. NVIDIA is hiring senior engineers to develop its AI platform, focusing on performance optimizations in deep learning frameworks using JAX. The role involves designing and implementing core components of JAX and collaborating with AI applied researchers to build efficient models and tools for AI-based systems.

Responsibilities

• Play meaningful role in NVIDIA's effort in contributing to JAX
• Design and implement JAX core components and drive peak performance on NVIDIA products
• Work with AI applied researchers and leaders to build future-proof models
• Build tools that will increase the efficiency of teams developing AI-based systems
• Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products

Skills

• BS in Computer Science or Computer Engineering or related field (or equivalent experience)
• 6+ years relevant experience
• C/C++ and Python programming
• Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.)
• Proven ability developing customer-facing solutions, balancing feature requests and bugs
• Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design
• Highly motivated with excellent verbal and written communication skills
• Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies
• Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design
• Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous
• Background with software shipping cycles (dev, deploy, release, CI)
• Experience building distributed systems and services at large scale

Benefits

• Equity
• Benefits

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