Play significant 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)
18+ 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.

Benefits

equity
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Applicant Tracking System Keywords

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Hard skills

C/C++Pythonmachine learning frameworksPyTorchTensorFlowscikit-learnCPU architecturesGPU architecturesnumeric librariesmodular software design

Soft skills

excellent verbal communicationexcellent written communicationability to work with multi-functional teamscoordination across organizational boundariesmotivation

Certifications

BS in Computer ScienceBS in Computer Engineering