NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As a Developer Technology Engineer you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to accelerate RTX & DGX SoC performance for agentic use. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI.
What you'll be doing:
Work with our fast-paced developer ecosystem partners on optimizing their applications to enable outstanding end-to-end performance on RTX & DGX SoCs.
Work hand in hand with other domain-expert team members to focus on computational intensive CPU, AI and 3D-graphics workloads.
Collaborate with system software, GPU driver, and architecture teams as well as NVIDIA research to influence next generation highest-performance SoC platforms by providing real-world workflows and giving feedback on partner and customer needs.
Providing technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment.
What we need to see:
BS or MS degree in Computer Science, Engineering, Mathematics or related degree (or equivalent experience)
5+ years of respective work experience as software developer
Proficiency in C/C++, Python, software design, parallel programming techniques
Confirmed expertise with developing native software on Windows and Linux
Familiar with agents for software development and related tasks
A distinct passion for performance optimization of CPU, AI or 3D-graphics end-to-end workflows and in-depth experience with profiling and debugging tools for CPU & GPU
Fundamental understanding of CPU or GPU architecture
Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills
Self-motivated, driven work ethic with high autonomy and critical thinking that thrives in an open and collaborative environment
Occasional travel for conferences and on-site visits with external partners
Ways to stand out from the crowd:
Expertise in agentic creative/professional workflows, e.g. CAD, 3D rendering, video or image editing
Knowledge of most recent highest-performance ARM architecture, ARM assembly and memory model
Experience with the SSE, AVX, NEON or SVE instruction set extensions
Expertise with GPU compute or graphics APIs, like CUDA, Vulkan or DX12
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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.Skills Required
- BS or MS in Computer Science, Engineering, Mathematics or related (or equivalent experience)
- 5+ years of software development experience
- Proficiency in C/C++ and Python
- Software design and parallel programming techniques
- Expertise developing native software on Windows and Linux
- Familiarity with agents for software development and related tasks
- Experience with performance optimization and profiling/debugging tools for CPU and GPU
- Fundamental understanding of CPU or GPU architecture
- Strong communication, organization, problem-solving, and time-management skills
- Self-motivated, high-autonomy work ethic and critical thinking
- Expertise in agentic creative/professional workflows (CAD, 3D rendering, video/image editing)
- Knowledge of high-performance ARM architecture, ARM assembly, and memory model
- Experience with SSE, AVX, NEON, or SVE instruction set extensions
- Expertise with GPU compute or graphics APIs such as CUDA, Vulkan, or DirectX 12
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.”
