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.
Software Development @ 3
Docker @ 3
Linux @ 6
DevOps @ 3
Python @ 3
R @ 3
CI/CD @ 3
Hiring @ 3
Bash @ 3
Communication @ 3
gRPC @ 3
Networking @ 2
SRE @ 5
JSON @ 3
GPU @ 3
- 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
NVIDIA is looking for an outstanding candidate to solve software integration challenges for next-generation data center platforms. You will work with GPU architectures and advanced AI infrastructure projects, ensuring the seamless integration of technologies in High-Speed Communication and virtualization. You will support products that leverage Ethernet and InfiniBand protocols and provide first-tier support to R&D teams, acting as the bridge between pioneering hardware and stable software deployments.
Responsibilities
- Fix and prioritize complex systems during high-stakes bringups and Proof of Concepts (PoCs) for next-generation computing architectures.
- Manage integration of large-scale products involving GPUs, complex network stacks, firmware, and drivers.
- Create, recreate, and redeploy software artifacts: fix code, update builds, or provide workarounds to unblock development.
- Serve as the primary technical point of contact for R&D teams to resolve immediate infrastructure and integration blockers.
- Work closely with R&D, Verification, and DevOps teams to streamline CI/CD pipelines for specialized high-speed interconnect and system management projects.
Requirements
- Bachelor of Science in Computer Science or similar academic degree, or equivalent experience.
- Proven software engineering background and deep understanding of standard software development methodologies.
- Strong knowledge of modern Linux-based operating systems (Ubuntu/RHEL).
- 5+ years of experience in DevOps, SRE, or Systems Integration roles.
- Experience with containerization using Docker.
- Coding skills in C/C++, Python, and Bash for automation and system-level fixes.
- Experience with GitLab and GitLab CI for managing complex build pipelines.
- Ability to multi-task, self-manage in a fast-paced environment, and lead technically during critical system failures.
- Excellent problem-solving and critical thinking abilities.
Ways to stand out (Preferred / Nice-to-have)
- In-depth knowledge and familiarity with high-performance networking (InfiniBand, Ethernet).
- Practical experience with gRPC, gNMI, REST, and JSON for system management and telemetry.
- Proven track record working on large-scale HW+SW converged systems (e.g., rack-scale computing or GPU clusters).
Benefits
- Competitive base salary (see ranges below) and eligibility for equity and benefits.
- Generous benefits package (link referenced in original posting).
Compensation and additional information
- Base salary ranges provided in the posting:
- Level 3: 148,000 USD - 235,750 USD
- Level 4: 176,000 USD - 276,000 USD
- You will also be eligible for equity and benefits.
- Applications accepted at least until January 24, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.