As the top tier artificial intelligence computing company, we are paving the way with innovations in self-driving cars, machine learning, super-computing, gaming, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a senior system software engineer to design and code computer vision software and help create the SDK for our Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. You will join a team of skilled software developers in crafting highly optimized computer vision, signal processing and machine learning algorithms for specialized DSP hardware. You will also help other internal and external customers to efficiently develop or map and optimize complex algorithms on the PVA’s VLIW/SIMD hardware. And you will also enhance the PVA SDK which enables others to develop for the PVA. We seek engineers with excellent leadership, communication, interpersonal, and analytical skills as well as a real passion for computer vision.
What you will be doing:
Develop and improve the SDK for internal and external customers who are developing on the PVA.
Develop and Optimize Algorithms to efficiently run on PVA.
Work with internal and external customers to help them develop and optimize algorithms on the PVA.
Provide technical leadership through your software development experience.
Help set technical direction and feature set for the PVA SDK.
Write effective, maintainable, and well-tested code. Enable automated testing.
Collaborate, learn, and grow skills with NVidians.
What we need to see:
Bachelor's or MS in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience).
8+ years of work experience writing high-performance software.
Consistent record of developing high-performance computer vision, image processing, radar or lidar signal processing software on DSPs, GPUs and/or CPUs.
Deep familiarity with SDKs for heterogeneous accelerators and understanding of the necessary components including compilers, debuggers, profilers, runtime APIs, documentation.
Strong software development skills in C++, including low-level debugging and performance profiling.
Experience with Linux-based or QNX development environments.
Ability to write clear technical documentation.
Strong communication and interpersonal skills.
Ways to stand out from the crowd:
Direct experience designing and shipping a programming model for a programmable hardware accelerator and programming in SIMD/VLIW processors.
Experience with compiler, debugger, linker or toolchain development, particularly using LLVM.
Background with ISO 26262 and IEC 61508 or equivalent quality/safety processes.
Demonstrated ability to use agentic AI tools effectively as a force multiplier in day-to-day engineering, including prompt design, agent orchestration, and validating AI-generated code in performance-critical or safety-critical contexts.
Curiosity about applying LLMs and agentic workflows to DSP and accelerator SDK problems, such as auto-generating kernels, optimizing schedules, synthesizing test vectors, or building AI-assisted developer experiences for PVA users.
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 and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. 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 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 like you to help us accelerate the next wave of artificial intelligence.
Skills Required
- Bachelor's or MS in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience)
- 8+ years of work experience writing high-performance software
- Proven experience developing high-performance computer vision, image processing, radar or lidar signal processing on DSPs, GPUs and/or CPUs
- Deep familiarity with SDKs for heterogeneous accelerators, including compilers, debuggers, profilers, runtime APIs, and documentation
- Strong software development skills in C++, including low-level debugging and performance profiling
- Experience with Linux-based or QNX development environments
- Ability to write clear technical documentation
- Strong communication and interpersonal skills
- Direct experience designing and shipping a programming model for a programmable hardware accelerator and programming in SIMD/VLIW processors
- Experience with compiler, debugger, linker or toolchain development, particularly using LLVM
- Background with ISO 26262 and IEC 61508 or equivalent quality/safety processes
- Demonstrated ability to use agentic AI tools, including prompt design, agent orchestration, and validating AI-generated code in performance- or safety-critical contexts
- Curiosity/applying LLMs and agentic workflows to DSP and accelerator SDK problems
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.”
