Senior JAX Platform & Performance Engineer

NVIDIA Corporation; Meyrin; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

NVIDIA is seeking senior engineers to develop its AI platform and performance optimizations in deep learning frameworks using JAX. You will design and implement core components, optimizing for peak performance on NVIDIA hardware while collaborating with researchers and engineers across teams.

You will work to bridge cutting-edge numerical computing, simulation, and deep learning research with real-world products.

Qualifications

• 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).
• 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.

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.

Job description

NVIDIA is seeking senior engineers to develop its AI platform and performance optimizations in deep learning frameworks using JAX. You will design and implement core components, optimizing for peak performance on NVIDIA hardware while collaborating with researchers and engineers across teams.

You will work to bridge cutting-edge numerical computing, simulation, and deep learning research with real-world products.