Today, NVIDIA is 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. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
The Advanced Technology Group is looking for a highly motivated Systems Software Engineer - New College Grad to join our group. Do you have a proven software development background in advanced computational methods for advanced semiconductor manufacturing and design? Are you seen as a technical leader and an industry expert in several of the underlying fields, such as massively distributed computing, computational geometry, diffractive optics, and artificial intelligence? If yes, then we’d love to hear from you! The job requires creating strategy, driving industry-leading innovation, and working in lean teams to realize these strategies, from invention to production.
This role will be located in Hillsboro, Oregon.
What you'll be doing:
Working with some of the best technologists in the world to build industry-leading advanced computational methods for advanced semiconductor manufacturing and design.
Exploiting the potential of the GPU to dramatically accelerate these software solutions.
Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.
What we need to see:
Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering (or equivalent experience).
Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
Research and/or industry experience working on advanced computational and AI systems
Exposure to ML/AI techniques and deep learning fundamentals, including various network architectures and advanced concepts like model optimization, backpropagation, and mitigating challenges like vanishing gradients and model overfitting.
Demonstrated ability in low-level performance optimization, including algorithm development, memory management, cache compression, and work-load balancing for scalable, distributed systems.
Ability to quickly ramp up on parallel programming models like CUDA, to accelerate computational methods.
Ability to solve complex algorithmic challenges and technical questions with minimal guidance, reflecting a strong foundation in algorithms, data structures, and computational theory
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.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.Skills Required
- Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering
- Experience in developing software solutions for semiconductor fabrication and design
- Research or industry experience on advanced computational and AI systems
- Exposure to ML/AI techniques and deep learning fundamentals
- Demonstrated ability in low-level performance optimization
- Ability to quickly ramp up on parallel programming models like CUDA
- Ability to solve complex algorithmic challenges
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.”
