NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It’s a unique legacy of innovation 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 our 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.
Our team is comprised of talented scientists and engineers who thrive in a fast-paced, energetic environment. We are at the forefront of deep learning, computer vision, and computer graphics. This is an exceptional opportunity to work alongside industry experts and contribute to cutting-edge projects. We seek strategic, ambitious, and hard-working individuals who are not only creative but also passionate about tackling complex problems that others may shy away from.
What you will be doing:
Help building high-fidelity 3D scene representations from sparse or multi-view data.
Collaborate closely with research and development teams to design, train, and deploy advanced neural reconstruction models.
Develop models that capture geometry, appearance, and semantics, to generate 3D scenes and integrate them into production systems and tools.
Help push the boundaries of neural reconstruction technology and tackle intellectually demanding, highly impactful challenges.
What we need to see:
Masters degree or equivalent experience; or preferably a PhD degree in Computer Science or a related field.
5+ years of experience programming skills in Python and C/C++.
Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
Strong background in computer vision and deep learning.
Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release): proven track record developing, testing, and releasing production-grade, complex software.
Ability to develop code in Unix/Linux environments.
Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
Strong collaboration skills to partner with algorithm designers, application developers, and infrastructure and MLOps teams.
Ways to stand out from the crowd:
Previous experience with 3D computer vision, object reconstruction, scene reconstruction, and computer graphics.
Previous experience with Gaussian Splatting, NeRF, and similar methods.
Proficiency with CUDA.
Ability to convert research into product.
With a competitive salary package and benefits, 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. Are you a creative and autonomous Systems Software Engineer, who loves challenges? Do you have a genuine passion for advancing the state of Computer Vision 3D across a variety of industries? If so, 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 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.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.”
