Senior Software Engineer, JAX

NVIDIA

Senior Software Engineer at NVIDIA developing performance optimizations in AI platform using JAX. Collaborating with researchers to build tools and systems for deep learning solutions.

Posted 7/9/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in C/C++ and Python programming, with a strong foundation in machine learning frameworks such as PyTorch and TensorFlow. Proven ability to design and implement high-performance solutions for AI-based systems while effectively collaborating with multi-functional teams.

Highest-signal resume keywords

C/C++ ProgrammingPython ProgrammingMachine Learning FrameworksCPU and GPU ArchitecturesModular Software Design

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Applicant Tracking System Keywords

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Hard Skills

C/C++ ProgrammingPython ProgrammingMachine Learning FrameworksCPU ArchitecturesGPU ArchitecturesNumeric LibrariesModular Software DesignDeep Learning ResearchSimulationAI-Based Systems

Soft Skills

Excellent Verbal CommunicationExcellent Written CommunicationTeam CollaborationCross-Organizational CoordinationMotivation

Tools & Technologies

JAXPyTorchTensorFlowScikit-learn

Industry Keywords

Numerical ComputingAI ResearchCustomer-Facing SolutionsFeature RequestsBugs

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

equity
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