Bolt Graphics

Bolt Graphics

Staff / Senior Staff Physical Design Engineer

Sunnyvale, CA · Staff+

Sponsorship not specified$200k-$220kDetected 19 days ago
PythoniOSANSYSCadenceElectrical EngineeringProblem SolvingAdaptability

About the role

  • You will play a critical role in achieving timing, power, and area (PPA) targets while ensuring high-quality tapeouts.
  • This is an on-site role and will require presence in the office 5 days a week.

Responsibilities

  • Selflessly collaborate towards our shared purpose.
  • As a Staff / Senior Staff Physical Design Engineer, you will be responsible for driving full-chip or block-level physical implementation from netlist to GDSII.

Requirements

  • Bachelor's/Master's degree in Electrical Engineering or related field 8-12 years of experience in ASIC physical design Proven experience in full-chip or large block implementation and tapeouts

Nice to have

  • Floorplanning and power planning Placement, CTS, routing, and physical verification Static Timing Analysis (STA) and timing closure
  • Hands-on experience with industry-standard tools such as:
  • Synopsys ICC2 / Cadence Innovus Synopsys PrimeTime Mentor Calibre Experience with advanced nodes (7nm and below preferred)

Compensation

  • $200,000-$220,000 per year (California).
  • This range represents the anticipated base pay for this role based in California; the final offer may vary based on qualifications, experience, and location.

Company info

  • Bolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors.
  • We pride ourselves on our first principles approach to solving problems.
  • We are energized by our mission to reduce the barrier of entry for content creation and consumption.
  • Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
  • Unmute yourself.
  • Test boundaries and get proven right.

This listing is sourced directly from Bolt Graphics's careers page and normalized into a canonical job model.