At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.
As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.
What you will be doing:Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs
Work on developing and improving methodologies for profiling data collection from GPUs
Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications
Read and understand HW specs to design solutions based on it
Work on software unit level tests and framework ensuring the quality of the product
Work on supporting a variety of platforms ranging from super-computers to embedded systems
B.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D.
Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms
Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts
Knowledge of SW design principles, as that's a key as we scale!
Experience in Device Drivers or System Software development
Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan
Prior experience authoring developer tools, particularly for GPUs
Experience in performance analysis of GPU applications
Ability to read and write in Assembly language, especially for multi-processor architectures
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working people in the world working with us. If the work described above excites you and you are up to the challenge, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, 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, disability status or any other characteristic protected by law.
Skills Required
- B.Tech in EE/CS with 4+ years experience, or M.Tech with 2+ years, or Ph.D.
- Strong programming ability in C, C++ and Python
- Proficiency in Data Structures and Algorithms
- Solid understanding of Computer Architecture (x86, ARM, GPUs)
- Strong knowledge of Operating System concepts
- Knowledge of software design principles
- Experience in Device Drivers or System Software development
- Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan
- Prior experience authoring developer tools, particularly for GPUs
- Experience in performance analysis of GPU applications
- Ability to read and write Assembly language for multi-processor architectures
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
