Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Linux @ 4
Python @ 4
Networking @ 4
Debugging @ 4
AI @ 4
Performance Analysis @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- Leverage a deep understanding of compiler technologies and programmability as a concept and its role in resource allocation to implement static and runtime optimizations.
- Develop proof-of-concept implementations of networking applications and thereafter guide their incorporation in company products.
- Contribute as an outstanding team player to bring people and ideas together to build advanced compilers and optimizations.
- Collaborate with cross-functional teams to ensure a cohesive and integrated technology strategy that advances business goals.
- Stay up to date with the latest developments in compiler technology, networking protocols, and hardware design.
Requirements
- 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, and 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 and 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.
Benefits
- Competitive base salary (range provided below), eligibility for equity and company benefits. The posting references NVIDIA's comprehensive benefits package.
Additional information
- Base salary range: 152,000 USD - 241,500 USD (actual base depends on location, experience, and pay of employees in similar positions).
- You will also be eligible for equity and benefits. Applications accepted at least until April 27, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.