A key part of NVIDIA's strength is our sophisticated analysis tools that empower NVIDIA engineers to improve perf and power efficiency of our products and the running applications. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high standards! This software engineering role involves developing analysis tools on various combinations of OS and hardware at different scales from single system to large data center.
As a member of the software development team, we will engineer and improve the tools and systems for perf & power verification/analysis/prototyping activities that are carried out internally. We will work with users from different departments like Architecture, Software, DevTech and etc. Our work brings the users intuitive, rich and accurate insight in the workload and the system, and empower them to find opportunities in software and hardware, or build high level models to propose and deliver the best hardware and software to our customers!
What you’ll be doing:
-
Build internal perf/power profiling tools for real world application running on NVIDIA products like GPUs or systems
-
Build infrastructure or services for profiling data storage, visualization and mining
-
Work with our users to build / calibrate perf/power models for next generation HW or system
-
Partner with architects to propose new HW features or improve existing features with real world use cases
What we need to see:
-
BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
-
Strong software design and implementation ability
-
Strong programming skills with Python, modern C++ or modern web application development
-
Good understanding in how Deep Learning frameworks works (like PyTorch, TensorFlow, Megatron-LM and etc...)
-
Proficient with GIT and P4
-
Excellent problem solving skills and project management skills
-
Flexibility for working in an evolving environment with changing requirements
Ways to stand out from the crowd:
-
Huge plus for experience in building Continuous Profiling system for GPU data center
-
Skillful in Deep Learning application performance analysis and optimization
-
Knowledgable in GPU or CPU architecture
-
Resourceful in GPU application performance or power analysis
-
Proven experience in contributing to large open source projects
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
