NVIDIA

Senior System Software Engineer, NCCL - Partner Enablement

Germany

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, High Performance Computing, Artificial Intelligence, Deep LearningIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science or a related field, along with 5+ years of relevant experience. They should have experience with parallel programming and familiarity with at least one communication runtime such as MPI, NCCL, UCX, or NVSHMEM. Strong C/C++ programming skills, including debugging, profiling, code optimization, and performance analysis are required, alongside experience with Linux fundamentals and scripting languages like Python. Practical experience with high-performance networking technologies like Infiniband, RoCE, and Ethernet is also necessary, along with knowledge of containers, cloud provisioning, and scheduling tools.

Responsibilities

The Senior System Software Engineer, NCCL - Partner Enablement will engage with partners and customers to troubleshoot functional and performance issues related to NCCL, conduct performance characterization and analysis of NCCL and DL applications on GPU clusters, develop tools and automation for issue isolation, guide customers and support teams on HPC knowledge, document and conduct trainings/webinars on NCCL, and engage with internal teams across different time zones regarding networking, GPUs, storage, and infrastructure. They will also contribute to the development of innovative technologies and help realize NVIDIA’s vision.

Skills

Parallel Programming
MPI
NCCL
UCX
NVSHMEM
C/C++
Performance Analysis
Networking
HPC
Cloud Platforms (Azure, AWS, GCP)

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI