Senior System Software Engineer, NCCL - Partner Enablement at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance ComputingIndustries

Requirements

B.S./M.S. degree in CS/CE or equivalent experience
5+ years of relevant experience
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience with at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control
Expertise in Linux fundamentals
Proficiency in a scripting language, preferably Python
Familiarity with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)
Adaptability and passion to learn new areas and tools
Flexibility to work and communicate effectively across different teams and timezones

Responsibilities

Engage with partners and customers to root cause functional and performance issues reported with NCCL
Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters
Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)
Guide customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters
Document and conduct trainings/webinars for NCCL
Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure, and support

Skills

Key technologies and capabilities for this role

C++CPythonLinuxNCCLMPIUCXNVSHMEMInfinibandRoCERDMADockerKubernetesSLURMAnsible

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What programming skills are required for this role?

Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design are required. Proficiency in a scripting language, preferably Python, is also needed.

What experience is required for this Senior System Software Engineer position?

Candidates need 5+ years of relevant experience, a B.S./M.S. degree in CS/CE or equivalent, experience with at least one communication runtime like MPI, NCCL, UCX, or NVSHMEM, and practical experience with high performance networking such as Infiniband/RoCE/Ethernet.

What is the salary or compensation for this role?

This information is not specified in the job description.

What qualities make a strong candidate for this position?

Strong candidates will have expertise in Linux fundamentals, familiarity with cloud technologies like Docker and Kubernetes, adaptability to learn new areas, and flexibility to collaborate across teams and timezones.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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