NVIDIA Corporation

Senior Software Engineer, NCCL and CUDA - CSP Engagements

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of system software validation experience.
  • Excellent C/C++ programming and debugging skills with CUDA development experience.
  • Deep understanding of operating systems and data-center architecture.
  • Experience with parallel programming models and communication libraries (MPI, NCCL, NVSHMEM).
  • Proficient understanding of compute and cloud deployment on bare-metal and VMs.
  • Knowledge of high-performance networking like InfiniBand and RoCE.
  • Familiarity with containers and scheduling tools such as Docker, Kubernetes, and SLURM.

Responsibilities

  • Engage with Cloud Service Providers (CSPs) to diagnose performance and functional issues in NCCL and CUDA libraries.
  • Analyze and optimize multi-GPU workload performance through profiling and benchmarking.
  • Resolve NCCL and NVSHMEM data movement issues in multi-node clusters.
  • Address CUDA porting challenges for customer workloads.
  • Apply datacenter-specific scheduling for enhanced performance.
  • Debug complex GPU computation, memory, and transport issues.
  • Collaborate with customers and internal teams to integrate the latest CUDA and NCCL advancements into solutions.

Benefits

  • Equity options provided as part of compensation.
  • Comprehensive healthcare benefits available.
  • Flexible work arrangements and time-off policies.
  • Access to NVIDIA's cutting-edge technologies and development resources.
  • Opportunities for continuous learning and professional development.
Full Job Description
NVIDIA is seeking a Senior Software Engineer, NCCL and CUDA specialization to join our Cloud Service Provider (CSP)Engagements team, focusing on ML software stack functionality and performance for datacenter products such as GB300 and Vera Rubin. This role involves working with the customers to understand the functional and performance issues in the libraries layer for deployment at scale. The role combines deep technical expertise in workloads, NCCL and CUDA libraries, frameworks, and system software interaction to solve the customer issues and bring the next generation of innovation.

What you will be doing:
  • Engage with our 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.
  • Apply datacenter-specific scheduling and topologies for optimal performance
  • 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 CUDIA 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 in NCCL.


What we need to see:
  • Experience with parallel programming models and with communication libraries (MPI, NCCL, NVSHMEM) run time.
  • Experience with performance optimization and profiling tools (e.g., Nsight, nvprof)
  • Excellent C/C++ programming and debugging skills, with experience in CUDA development.
  • Good exposure to PCIe and NVLINK.
  • 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.


Ways to stand out from the crowd:
  • Strong software architecture experience.
  • Experience with deep learning workloads training and inferencing
  • Experience conducting performance benchmarking and developing tooling on HPC clusters


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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