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Urgent! Software Engineering Manager - GPU Communications Libraries Job Opening In Santa Clara – Now Hiring NVIDIA
We are the GPU Communications Libraries and Networking team at NVIDIA.
We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC.
DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg.
NVLink, PCIe) within a node and with high-speed networking (eg.
Infiniband, Ethernet) across the nodes.
Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries.
This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before.
Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision?
What you will be doing:
Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
This is a technical leadership role so you will participate in feature design and implementation.
Interact with internal and external partners and researchers to understand their use cases and requirements.
Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner.
What we need to see:
10+ overall years of experience in the software industry with specialization in HPC networking or system software.
4+ years of management experience.
BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle.
Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations.
Excellent C/C++ programming and debugging skills in Linux.
Experience balancing multiple projects with competing priorities.
Flexibility to work and communicate effectively across different teams and timezones.
Ways to stand out from the crowd:
Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads.
Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies.
Knowledge of HPC and ML/DL fundamentals.
Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people on the planet working for us.
If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and .
NVIDIA accepts applications on an ongoing basis.
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Unlock Your Software Engineering Potential: Insight & Career Growth Guide
Real-time Software Engineering Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Software Engineering in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 72089 jobs in United States and 1284 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Software Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Software Engineering Manager GPU Communications Libraries to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Software Engineering Manager GPU Communications Libraries Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Software Engineering Manager GPU Communications Libraries typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Software Engineering Manager GPU Communications Libraries interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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