Chip Modeling Architect

AI in this role

Chip Modeling Architect to build network simulators and define network adapter chip architectures for high-performance computing.

omnetns3sstgem5

chip-architecturesimulationhardware-designnetworking

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.

How we rate this

Chip Modeling Architect at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Chip ArchitectureSimulationHardware DesignNetworkingOmnetNs3SstGem5

Questions you could be asked

Tell me about a project where chip architecture was part of your work. What did you do?
Tell me about a project where simulation was part of your work. What did you do?
Tell me about a project where hardware design was part of your work. What did you do?
Tell me about a project where networking was part of your work. What did you do?
Walk me through how you've used Omnet in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Chip Architecture, Simulation, Hardware Design, Networking, and Omnet. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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