Senior Pre-Silicon Switch Technical Lead
NVIDIA is hiring a Senior Pre-Silicon Switch Technical Lead. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions fine tuning among its tools and skills.
- Level classes it as a lead role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
NVIDIA is looking for a best-in-class engineer for an exciting role as a pre-silicone technical leader capable of leading complicated pre-si programs while fine-tuning existing and defining new methodology processes. Be a key player in the networking hardware and software development path and contribute to the latest breakthroughs in high performance networking appliances. Lead the pre-si technical programs from initial MRD presentations through "all hands" bring up events towards final customer samples release. Pave the way to improved methodology and streamline processes. We develop SW and FW pre-silicone features, solutions and tools for next-generation ASICs, and orchestrate the pre-silicone process and ASICs bring-up events.
What you’ll be doing:
- Leading a multi-functional cross org team, responsible for ensuring critical software and firmware is ready to support the bringup of new Switch ASICs
- Driving technical issue resolution to enable single day silicon bring up on multiple SW/HW layer while meeting aggressive product schedules.
- Drive, improve and introduce in-team and cross-team processes to guarantee high quality pre-silicon execution.
- Interface and drive pre-silicon issues across multi-functional teams: Product Management, Architecture, Software Design and Verification, System Hardware and Software, System and IC product engineering teams and others. Drive technical sessions with multi-functional teams to track & follow-up on issues, progress and escalations.
- Focused issue reporting, bug tracking, and communication of pre-si technical program risks & status.
What we need to see:
- B.Sc./ M.Sc. or equivalent experience in Computer Engineering / SW Engineering.
- 8+ years of design experience in multifaceted and multidisciplinary environment.
- Solid understanding in software development lifecycle and methodologies.
- Excellent attention to detail and highly organized.
- Exprinace with working with Git, Gerrit, Jenkins etc.
- Firm knowledge of L1, L2, L3 networking.
- Wide system view of HW, System and SW of embedded systems
Ways to stand out from the crowd:
- Proven ability with hands on leading silicon projects from concept to production. Track record of managing complex, multifaceted schedules, driving improvements and lessons learned into organizational and team processes and methodologies.
- Solid understanding of pre-si HW based emulation and SW based simulation products and tools
- Ability to build effective working relationships across multiple org. functions, engineers and managers. Strong multi-tasking and real-time crisis management skills. Ability to understand and extract action plans from complicated technical discussions and translate to clear messaging for multifunctional and executive status reporting.
- Experience in communication equipment (switch-routers) ASIC, System, Microcode/FW or SW layers development
- Knowledge of real-time Microcode/Firmware/SW, RTOSs and Linux embedded environment
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 in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
How we rate this
Senior Pre-Silicon Switch Technical Lead at NVIDIA rates 35 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.
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. Read the description and count the AI tools, models and workflows it names.
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