Data Processing Units (DPUs) are the new class of programmable processors igniting unprecedented innovation for modern data centers by offloading and accelerating networking, storage, compute and security services. As we work to advance and implement these technologies into our future offerings, our Compiler team is growing and seeking top-tier compiler engineers who want an exciting and engaging role that bridges compute and networking while leading the charge to even greater accomplishments within a world-class organization. Come join us and to be part of the team in making a difference!
We are seeking a software engineer with knowledge of compiler technology, optimizations, networking protocols, and hardware design. This individual will be responsible for leading the advancement and development of programmable networks at datacenter scale deployments of NVIDIA DPUs. Additionally, this person should be a strong advocate for programmability and be comfortable straddling the hardware and software boundary.
What You'll Be Doing:
Leveraging a deep understanding of compiler technologies and programmability as a concept and its role in resource allocation to implement static and runtime optimizations
Developing proof-of-concept implementations of networking applications and thereafter guiding their incorporation in company products
Contributing as an outstanding team player to bring people and ideas together to build advanced compilers and optimizations
Collaborating with cross-functional teams to ensure a cohesive and integrated technology strategy with Zero ego that advances NVIDIA’s business goals
Staying up to date with the latest developments in compiler technology, networking protocols, and hardware design
What we need to see:
BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience
5+ years of relevant work or research experience in performance analysis, compiler optimizations, code generation.
Knowledge of network programming, network protocols and layers
Excellent C/C++ and Python programming abilities coupled with software design skills, including debugging, performance analysis, and test design.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ability to collaborate well with others in an energizing environment.
Ways to stand out from the crowd:
Experience working with open source compiler code bases
Knowledge of Linux networking stack and hardware packet processing pipelines
Proven ability to design/architect compiler frameworks.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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.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
- 5+ years of relevant work or research experience in performance analysis, compiler optimizations, code generation.
- BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience
- Excellent C/C++ and Python programming abilities coupled with software design skills, including debugging, performance analysis, and test design.
- Knowledge of network programming, network protocols and layers
- Strong interpersonal skills to work in a dynamic product-oriented team
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.”
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