Senior Solutions Architect, NIC and DPU – NVIS
Canada, Remote
NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems.
NVIDIA is looking for Senior NIC/DPU Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!
What you'll be doing:
Support GPU, NIC, and networking applications on the converged GPU/DPU/NIC and x86 platforms work on customer production activities, introducing and integrating NVIDIA networking products to new and existing customers.
Gain customers’ trust and understand their needs.
Work closely with support cross-functional teams, optimize customer environment, and maintain resiliency.
Help with customer production requirements alongside engineering and product teams.
Address sophisticated and obvious customer issues.
Worldwide travel is required for on-site visits with customers.
What we need to see:
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.
8+ years of experience with configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance including medium to large scale HPC/AI network environments.
Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, solving, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).
Driven focus on customer needs and satisfaction. Self-motivated with excellent leadership skills including working with customers.
Strong written, verbal, and listening skills in English are critical.
Ways to stand out from the crowd:
Familiarity with the InfiniBand protocol and RDMA concepts.
Having experience with GPUs, CUDA, GPUDirect or NVIDIAS'a Bluefield Data Processing Unit (DPU).
Experience with high-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work.
Coding development experience with multiple programming languages (from low-level C programming language to high-level languages such as Python/Bash.)
Cluster management technologies knowledge and bonus credit for BCM (Base Command Manager.)
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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you.
The base salary range is 127,500 CAD - 279,500 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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Benefits Comprehensive benefits Eligible for Equity Equity Equity and benefits
Tasks- Address customer issues
- Integrate NVIDIA products
- Optimize customer environments
- Support GPU and networking applications
- Travel for on-site visits
Accelerated Computing AI Analytics Artificial Intelligence Automation Bash C Cluster Management Computer graphics C programming CUDA Data center Data Center Architecture Data centers Data Science Deep Learning Dev-ops DPU Engineering GPU Gpudirect GPUs High Performance Computing HPC Infiniband Interpersonal Job schedulers Leadership Linux Linux System Administration Monitoring Networking Networking Products Network Routing NVIDIA NVIDIA products Package Management Performance Optimization Performance Reporting Process Management Programming Programming languages Python RDMA Routing System Administration System design TCP/IP Tcp/ip stack Team building Testing Validation
Experience8 years
EducationB.S. Computer Engineering Computer Science Data Science Deep Learning Engineering Equivalent Equivalent experience Mathematics MS Ph.D. Physics
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