Drimva

Amazon

Implementation Engineer, Amazon Leo

$154K–$247K

Sunnyvale, CA +1 · Full-time · Posted Sep 16, 2026

Location
Sunnyvale, CA
San Diego, CA
Experience
5+ years required; 7+ years preferred.
Education
Bachelor's degree in Electrical Engineering or a related field; Master's or Ph.D. in Electrical / Communications Engineering preferred.
Visa sponsorship
Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About the job

Implements and signs off digital ASICs for Amazon Leo satellite and gateway communications, coordinating chip design, synthesis, timing, and physical-design teams.

What you'll do

  • Develop and validate UPF power intent, synthesis flows, timing constraints, and implementation methodologies for ASICs.
  • Run or oversee synthesis checks, STA, LEC, integration checks, and timing sign-off; coordinate netlist handoff and PPA reviews with P&R teams.
  • Verify IR/EM results against DFM criteria and help ensure correct integration of analog blocks.

What they ask for

  • Bachelor's degree in Electrical Engineering or a related field.
  • 5+ years of ASIC implementation experience, including synthesis, STA, and work with P&R for deep sub-micron nodes, preferably 16nm or smaller.
  • Experience leading or solely developing physical-synthesis methodology and scripts.
  • Track record of taping out chips that entered high-volume production; familiarity with multiple power islands and power gating.

Nice to have

  • Master's or Ph.D. in Electrical / Communications Engineering; 7+ years of ASIC implementation experience.
  • Experience leading physical design; strong UPF low-power flow exposure; multi-site/multi-team experience; strong written and verbal skills.

Pay

153,600.00 - 215,000.00 USD annually (base salary); 176,600.00 - 247,300.00 USD annually (base salary)

Tools

UPF, ASIC, STA, LEC, RTL, P&R, DFT, CMOS

AI focus

Develop implementation methodologies while embracing AI flow.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)