Senior Software Engineer, JAX
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-11). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$184k–287.5k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 1h ago · last seen just now
- location not stated
The listing
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.