Level

NVIDIA

ASIC Design Engineer - Performance Monitoring

NVIDIA is hiring an ASIC Design Engineer - Performance Monitoring in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Design and implement system-level RTL features and automation flows for GPUs/SOCs while using AI productivity tools.

verilogperlpythondc-shellvcsgdb

NVIDIA System-On-Chip (SOC) group is hiring for an ASIC Design Engineer! The complexity of the chips we build has increased manifold over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand. We are looking for a top ASIC Design Engineer to join our team. In this role, you should have real passion for RTL design implementation and methodologies that enable high quality system-level IP design.


What you'll be doing:

  • Be an integral part of the team defining and developing system-level RTL and methodologies to measure performance on the industry's leading GPUs/SOCs.
  • Design and implement RTL features - work through the entire design cycle for SOC.
  • Run and debug RTL checks to ensure design quality (e.g. CDC, RDC, Lint, Synthesis, Logic-Equivalence and more)
  • Define, develop, and automate flows and methodologies to efficiently build and support a system-level IP
  • Work with architects, designers, verification and SW engineers to accomplish your tasks.

What we need to see:

  • B.Tech or M.Tech in Electronics or Computer Engineering.
  • 3+ years of relevant industry experience.
  • Experienced in RTL design (Verilog), System-On-Chip design/implementation flows, and design automation.
  • Good understanding of SOC/IP (u)architecture (e.g., data flow, control, multiple clock/power domains handling, latency analysis).
  • Strong coding skills in Perl, Python or other industry-standard scripting languages.
  • Excellent debugging and analytical skills.
  • Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB).
  • Great communication and collaboration skills to interact within the team and with cross functional teams.
  • Adept at using AI tools to enhance productivity and solve complicated problems

NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and innovative people in the world. Are you passionate about joining our life’s work to amplify human imagination and intelligence? If you are creative, collaborative, and have real passion for design, methodology, and automation, we want to hear from you!


#LI-Hybrid

How we rate this

ASIC Design Engineer - Performance Monitoring at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

VerilogPerlPythonDc ShellVcsGdb

Questions you could be asked

  1. What's a project where you used Verilog hands-on?
  2. Walk me through how you've used Perl in your day-to-day work.
  3. What are the limits of Python that you've run into, and how did you work around them?
  4. What's a project where you used Dc Shell hands-on?
  5. Walk me through how you've used Vcs in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Verilog, Perl, Python, Dc Shell, and Vcs. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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