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Staff Post Silicon Electrical Validation Engineer

Renesas Electronics · Duluth, GA

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Level
Senior
Team
Quality
Degree
Required
Experience asked
8+ years
Industry
Industrial
Posted
6 days ago

The role in 30 seconds

A senior quality role at Renesas Electronics (industrial) in Duluth, GA.

They ask for
8+ years · degree required
Tools it names
Validation (IQ/OQ/PQ), Automation

Read from the posting. The full description is below.

From the plant jobs report · week of October 19, 2026

Quality Engineer roles in the US: typical posted base $96k–$135k.

Median of the low and high ends of 464 live postings that list pay, out of 1137 quality engineer openings in the US, read from manufacturers' own careers sites.

Georgia plant jobs report →Pay by team and state →What moves pay →

How this role compares

Against 10 other live quality postings in Georgia.

Experience asked
More than usual (8+ vs 5+)

Similar roles usually ask 5+ years.

Skills these teams ask for most

  • Root cause 73%
  • FMEA 55%
  • Supplier quality 45%
  • ✓ Automation 36%
  • Lean 36%
  • PPAP 36%

✓ = this posting asks for it too. % = share of similar postings that mention it.

It asks for 8+ years. If you're close, apply anyway: requirements are a wish list. Talk to someone doing this work there first.

At a glance

Pulled from the posting text. If it's not listed here, the posting didn't say.

How to get in at this plant

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  1. 1

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  2. 2

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  3. 3

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  4. 4

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  5. 5

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This plant: Renesas Electronics in Duluth

1 other open role at this site.

Full description from Renesas ElectronicsAs posted on their careers site.Show

Required Qualifications

  • ✓Bachelor's / Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • ✓8+ years of hands-on experience in high-speed Analog and Mixed-signal signal devices.
  • ✓Strong understanding of signaling levels, termination architectures, and signal integrity tradeoffs in systems.
  • ✓Expertise in using typical high speed interface test equipment (BERT, Scope, Compliance S/W).
  • ✓Proficiency in scripting languages (e.g., Python) for test automation and analysis.
  • ✓Excellent analytical and problem-solving skills.
  • ✓Strong communication and interpersonal skills.

Preferred Qualifications

  • ✓Master's degree in Electrical Engineering
  • ✓Experience with advanced signal integrity measurements and applications for Design correlation.
  • ✓Strong understanding of memory interface architecture, interface protocols, standards and operation, preferably DDR5.
Show full description ↓

This position requires an experienced technical lead with a strong background in post silicon validation across multiple product iterations. The ideal candidate will have hands-on experience with DDR5 buffer of silicon bring-up and validation, including high-speed analog and mixed-signal characterization.

This position requires an experienced technical lead with a strong background in post silicon validation across multiple product iterations. The ideal candidate will have hands-on experience of silicon bring-up and validation, including high-speed analog and mixed-signal characterization. . The candidate should be comfortable leading bench-level validation and characterization activities, driving debug efforts, developing test methodologies, and collaborating cross-functionally with design, system, and product engineering teams.

Component Bench Validation and Characterization

  • •Leverage best‑known test and measurement techniques—including de‑embedding, high‑impedance probing, and noise compensation—to address complex signal‑integrity challenges as memory data rates continue to scale.
  • •Support Design and Validation teams in the characterization of critical electrical and timing parameters for high‑speed memory devices.
  • •Collaborate closely with designers and cross‑functional partners to debug and optimize performance using exploratory, open‑ended test approaches that extend beyond strict specification‑driven measurements.

Data Analysis and Reporting

  • •Synthesize experimental results and systematically define subsequent validation and characterization experiments to fully isolate and understand complex issues.
  • •Generate clear, consistent, and well‑structured reports tailored to a range of technical and non‑technical audiences, ensuring actionable insights and alignment across teams.
  • •Develop and validate innovative applications of LLM/AI techniques to analyze large-scale validation datasets, generate effective visualizations, and reduce overall cycle time to final reporting.

Technical Communication

  • •Effectively document test methodologies, procedures, and assumptions to ensure results are reproducible, accurate, and scalable across validation efforts.
  • •Communicate complex technical concepts with an appropriate level of detail tailored to each stakeholder, from deep technical audiences to broader cross‑functional teams.
  • •Collaborate effectively with Validation Engineers across diverse geographic regions, languages, and technical backgrounds, fostering alignment and knowledge sharing within global teams.

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