Salary
💰 $184,000 - $356,500 per year
Tech Stack
PythonPyTorchScikit-LearnTensorflow
About the role
- 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.
Requirements
- 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.