Tech Stack
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.
AI @ 3
CUDA @ 3
Communication @ 6
Debugging @ 4
Linux @ 4
NCCL @ 3
Networking @ 4
Performance Analysis
Python @ 4
- 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
Join NVIDIA’s Hyperscale Engineering team to develop networking solutions for large-scale AI infrastructure. You will work with customers and engineering teams to build, integrate, and improve software for BlueField and ConnectX platforms.
Your work will span software development, system integration, troubleshooting, and performance analysis, helping customers move from initial testing to production deployment.
Responsibilities
- Work with customers to understand their networking requirements and develop technical solutions.
- Develop and integrate networking software for BlueField and ConnectX platforms.
- Test and optimize RDMA and RoCE solutions for performance and reliability.
- Investigate issues across applications, networking libraries, drivers, firmware, and switches.
- Analyze packet drops, congestion, latency, and throughput to identify problems and recommend improvements.
- Create test cases and automation to reproduce issues, validate fixes, and measure performance.
- Collaborate with software, firmware, architecture, and product teams throughout development and deployment.
- Document findings and communicate progress, technical decisions, and next steps.
Requirements
- A degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
- 8+ years of relevant software or systems engineering experience.
- Experience programming in C and developing or debugging software on Linux.
- Knowledge of networking protocols and experience with RDMA, RoCE, or other high-performance networking technologies.
- Experience investigating technical issues and evaluating possible solutions.
- Clear communication skills and the ability to work with customers and colleagues across teams.
- An interest in learning new technologies and sharing knowledge.
Preferred Qualifications
- Experience with BlueField, ConnectX, DOCA, DPDK, or RDMA verbs.
- Knowledge of congestion control, QoS, PFC, or ECN.
- Familiarity with AI workloads, NCCL, or CUDA.
- Experience testing or deploying networking solutions at scale.
- Python or shell scripting experience for diagnostics and automation.
Compensation and Benefits
The base salary range is $184,000–$287,500 for Level 4, and $224,000–$356,500 for Level 5. Base salary will be determined based on location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 30, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. The company does not discriminate, including in 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.