NVIDIA

NVIDIA

Posted via Workday

Senior Compiler Engineer - Smart Network Devices

Posted Aug 5, 2026

Role at a glance

Salary
$152K – $241.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of relevant work or research experience
Education
BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience

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Role Summary

AI-generated

The Compiler team develops compiler technologies for NVIDIA Data Processing Units (DPUs), programmable processors that offload and accelerate networking, storage, compute, and security services in modern data centers. This role advances programmable networking at data-center scale by bridging compiler development, networking, and hardware design.

What You'll Do

  • Implement static and runtime optimizations using compiler technologies and programmability concepts.
  • Develop proof-of-concept implementations of networking applications and guide their incorporation into company products.
  • Contribute to advanced compilers and optimizations with the team.
  • Collaborate with cross-functional teams on an integrated technology strategy.
  • Stay current with developments in compiler technology, networking protocols, and hardware design.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS/MS in Computer Science or Computer Engineering or equivalent experience; 5+ years of relevant work or research experience in performance analysis, compiler optimizations, and code generation; knowledge of network programming, network protocols and layers; excellent C/C++ and Python programming abilities; software design, debugging, performance analysis, and test design skills; strong interpersonal and collaboration skills.

Required

  • BS/MS in Computer Science or Computer Engineering or equivalent experience
  • 5+ years of relevant work or research experience in performance analysis, compiler optimizations, and code generation
  • Knowledge of network programming, network protocols and layers
  • Excellent C/C++ and Python programming abilities
  • Software design skills, including debugging, performance analysis, and test design
  • Strong interpersonal and collaboration skills

Preferred

  • PhD in Computer Science or Computer Engineering
  • 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

Original job description

Content provided by the employer

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.

Applications for this job will be accepted at least until May 24, 2026.

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

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.