At NVIDIA, we are proud of our advanced analysis and debugging tools that help engineers reach outstanding performance and power efficiency in products and applications. We invite creative, diligent, and innovative people to join our committed software team with rigorous standards. This software engineering position focuses on building tools for NVIDIA’s internal teams to improve hardware development and software execution.
As part of the software development team, we work with users from different departments, including Architecture and Software teams. Our mission is to give users intuitive, rich, and detailed insights into workloads and systems. This helps them see opportunities in both software and hardware. We then build high-level models that suggest and deliver world-class hardware and software solutions to our customers. We also debug complex issues to improve system performance and efficiency.
What you’ll be doing:- Build and maintain internal profiling tools aimed at performance and power optimization by using real-world GPU applications, such as games and AI workload.
- Collaborate with our users to model and improve the design for next-generation GPU for better performance and power efficiency
- Partner with hardware architects to propose new features or improve existing ones based on real-world use cases.
- BS+ in Computer Science or a related field (or equivalent experience) with 3+ years of software development experience.
- Strong system software development skills in C++.
- Proficiency in using coding agents like Codex, Claude Code, etc.
- A motivated self-starter with strong problem-solving abilities and excellent customer-facing communication skills.
- Passion for continuous learning and the ability to work concurrently with multiple global groups.
- Expertise in using GPU APIs such as DirectX12, Vulkan, or CUDA.
- Proficient in CPU/GPU application performance profiling, analysis, and optimization.
- Experience contributing to open-source projects, particularly 3D game engines.
- In-depth knowledge of GPU and/or CPU architecture and general computer architecture principles.
Skills Required
- BS in Computer Science or related field (or equivalent experience) with 3+ years software development experience
- Strong system software development skills in C++
- Proficiency in using coding agents such as Codex or Claude Code
- Motivated self-starter with strong problem-solving and customer-facing communication skills
- Ability to work concurrently with multiple global groups and passion for continuous learning
- Expertise in GPU APIs such as DirectX12, Vulkan, or CUDA
- Proficiency in CPU/GPU application performance profiling, analysis, and optimization
- Experience contributing to open-source projects, particularly 3D game engines
- In-depth knowledge of GPU and/or CPU architecture and general computer architecture principles
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.”
