Senior Software Engineer, NCCL and CUDA - CSP Engagements

About the role

The Senior Software Engineer, NCCL and CUDA specialization will engage with Cloud Service Provider (CSP) engagements to address functional and performance issues in NCCL and CUDA libraries. This role requires a deep understanding of parallel programming models, communication libraries, and system software interactions.

Responsibilities

• 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.
• BS or MS 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.

Benefits

NVIDIA offers competitive compensation, including a base salary range of $184,000 - $287,500 for Level 4 and $224,000 - $356,500 for Level 5, along with equity and benefits.

Pay

Base salary is determined based on location, experience, and the pay of employees in similar positions.

Schedule

Applications for this job will be accepted at least until July 8, 2026.