Used Tools & Technologies
Not specified
Required Skills & Competences ?
Linux @ 3 Networking @ 4 Parallel Programming @ 4 Rust @ 7 CUDA @ 1 GPU @ 4Details
We are looking for an enthusiastic software engineer to join our AI networking acceleration team to work on a groundbreaking open-source library using hardware offloads, GPU kernels and RDMA network cards. The product is a performance-oriented low-level infrastructure designed to change the way inference works. The team focuses on highly optimized, low-level systems that run on large supercomputers and data centers.
Responsibilities
- Develop a highly optimized inference framework
- Build software that runs on the world’s largest supercomputers and data centers
- Work in a dynamic, challenging environment on next-generation products focused on performance, scalability, and features
Requirements
- B.Sc. or equivalent experience in Computer Science or Software Engineering
- 6+ years of experience in modern C++ / C / Rust development
- 3 years of experience in Linux environments and familiarity with development tools
- Deep knowledge of the TCP/IP network stack
- Understanding of computer architecture and operating systems concepts
Ways to Stand Out
- Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
- Experience programming CUDA kernels (advantage)
- Familiarity with ML frameworks and large language models (LLMs)
- Background in parallel programming, high-performance computing (HPC), and RDMA technology
Compensation & Benefits
- Base salary ranges by level:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits
Additional Information
- Applications accepted at least until November 24, 2025
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment