Senior Compiler Engineer – Networking Compiler Technology

Posted 6 Days Ago
Be an Early Applicant
6 Locations
Remote
148K-288K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Compiler Engineer will advance compiler technology, optimize performance, develop networking applications, and collaborate on solutions for NVIDIA's DPU technology.
Summary Generated by Built In

NVIDIA Data Processing Unit’s (DPU’s) are the new class of programmable processor’s 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 fun role as they help lead 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, P4 language, networking protocols and hardware design. This individual will be responsible for leading the advancement and development of programmable networks and enable datacenter scale deployment of NVIDIA DPU’s and Switches. Additionally, this person should be a strong advocate for programmability and be comfortable straddling the hardware and software boundary.

What You'll Be Doing:

  • Deep understanding of compiler technologies, programmability as a concept and its role in resource allocation, static and runtime optimizations

  • Developing proof-of-concept implementations of networking applications and thereafter guiding their incorporation in company products

  • An outstanding team player that can bring people together and work towards a common goal of building advanced compilers and optimizations

  • Collaborate with cross-functional teams to ensure a cohesive and integrated technology strategy with Zero ego and advance NVIDIA’s business goals

  • Stay 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

  • 3+ 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 and 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 P4 compiler code base

  • Knowledge of Linux networking stack and hardware packet processing pipelines

  • Proven ability to design/architect compiler frameworks.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

C,C++,Python,P4
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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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