Senior Software Engineer, NCCL and CUDA - CSP Engagements
About the role
This role is part of the NVIDIA CSP Engagements team, focusing on ML software stack functionality and performance for datacenter products like GB300 and Vera Rubin.
Responsibilities
- Engage with CSPs to root cause functional and performance issues in NCCL and CUDA libraries.
- Analyze and improve multi-GPU workloads performance through profiling, benchmarking, and tuning.
- Understand and solve NCCL and NVSHMEM data movement issues in multi-node clusters.
- Understand and solve CUDA porting issues for customer workloads.
- Debug and resolve complex issues related to GPU computation, memory, and transports.
- Collaborate with customers to understand their workload integration specific challenges to NCCL and CUDA libraries and suggest tailored solutions aligned with the NVIDIA ecosystem.
- Collaborate with AE, FAE, and solution architects to deliver integrated customer solutions and technical documentation.
- Collaborate with internal teams to help customers use the latest advancements in CUDA and NCCL.
Requirements
- Experience with parallel programming models and communication libraries (MPI, NCCL, NVSHMEM).
- Experience with performance optimization and profiling tools (e.g., Nsight, nvprof).
- Excellent C/C++ programming and debugging skills, with experience in CUDA development.
- Deep understanding of operating systems and data-center system architecture.
- Knowledge of high-performance networking like InfiniBand and RoCE.
- Proficient understanding of compute, networking, and cloud deployment, specifically on bare-metal and VMs.
- Bachelor's or Master's degree in Computer Engineering, Computer Science, or related field, or equivalent experience.
- Familiarity with containers, cloud provisioning, and scheduling tools such as Docker, Kubernetes, SLURM, and Ansible.
- 8+ years of system software validation experience.
- Ability to communicate effectively and collaborate with partner and customer teams.
Qualifications
- Strong software architecture experience.
- Experience with deep learning workloads training and inferencing.
- Experience conducting performance benchmarking and developing tooling on HPC clusters.
Skills
- Experience with NVIDIA CUDA and NCCL libraries.
- Understanding of high-performance computing environments.
- Experience with cloud and virtualization technologies.
Benefits
NVIDIA offers competitive compensation packages including base salary ranging from $184,000 to $287,500 for Level 4, and $224,000 to $356,500 for Level 5, along with equity and comprehensive benefits.
Pay
The base salary for this position is determined based on location, experience, and the pay of employees in similar positions.
Schedule
Details on the schedule are not specified in the job posting.
Benefits
Details on the benefits package are not specified in the job posting.
Contact Information
Applications for this job will be accepted at least until July 8, 2026.
Equal Opportunity Employer
NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees.