Chip Modeling Architect
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- Microarchitecture
- Performance modeling
NVIDIA networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider NVIDIA. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.
What you'll be doing:
• Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.
• Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
• Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.
• Explore innovative ideas to improve and optimize our chip systems performance.
• Serve as a focal point within the organization and distribute the knowledge that you acquire.
What we need to see:
• BSc/MSc in Electrical Engineering, Computer Science from a known university.
• Experience in developing simulation models.
• 4+ years of experience in a relevant role as chip architecture or system integration
• Knowledge and understanding of computing and networking systems.
• Strong debug skills.
• A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.
• Utmost passion for attention to details in design and a high focus on design quality.
Ways to stand out from the crowd:
• Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking.
• NVIDIA is widely considered to be one of the tech world’s most desirable employers.
• Master's degree in Electrical Engineering, Computer Science or related technical field.
• 5+ years of relevant practical experience.
• Experience with network simulation tools (omnet, ns3, sst, gem5)
NVIDIA is widely considered to be one of the tech world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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