Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years relevant experience
- Education
- BS in Computer Science or Computer Engineering or related field (or equivalent experience)
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Role Summary
NVIDIA is hiring senior engineers to contribute to JAX and develop performance optimizations for deep learning frameworks on NVIDIA products. The role focuses on building modular tooling and platform components that support numerical computing, simulation, and deep learning applications.
What You'll Do
- Contribute to JAX as part of NVIDIA's effort
- Design and implement JAX core components
- Drive peak performance on NVIDIA products
- Work with AI applied researchers and leaders to build future-proof models
- Build tools that increase the efficiency of teams developing AI-based systems
- Bridge numerical computing, simulation, and deep learning research with real-world product applications
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: C/C++ and Python programming; experience with machine learning frameworks and their internals; customer-facing solution development; CPU and GPU architectures; numeric libraries; modular software design; communication, planning, and cross-functional collaboration.
Required
- 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
- Excellent verbal and written communication skills
- Ability to work successfully with multi-functional teams, principles and architects
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world!
What You Will Be Doing:
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.
What We Need To See:
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.
Ways To Stand Out From The Crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.