Product Engineer, Silicon Validation
Etched
San Jose, CA · Posted November 7, 2026
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November 2026
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Rankings about engineering jobs
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- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
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Pay compared with the market
This listing does not state pay. Across 32 open product engineer listings that state pay, the middle half runs $175,000 to $253,000 and the median is $205,000.
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AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
About Etched
Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.
Job Summary
We are seeking an experienced Product Engineer to lead silicon validation, test program
development, and productization for our large-format AI accelerator chips. In this role, you will develop and execute test strategies from first silicon through high-volume manufacturing, partnering with cross-functional teams and external vendors to ensure production quality and cost targets. This role is critical to achieving first-pass silicon success and seamless NPI-to-HVM transitions.
Key Responsibilities
Planning and executing comprehensive silicon characterization from first silicon through production release, including voltage-frequency-temperature characterization, corner testing, guard band determination, and production limit setting
Lead test cost optimization efforts while maintaining quality standards
Architect test flows to balance test time, coverage, and yield learning objectives for complex AI accelerator designs
Drive systematic yield improvement initiatives through data-driven root cause analysis using statistical tools and methods
Establish and track key quality metrics including DPPM and test escapes
Perform die/package level bring-ups, troubleshoot failure modes, and resolve issues by collaborating with design, system validation, and operations teams
Support OSAT bring-up, manage ATE/SLT manufacturing test program releases, and drive toward aggressive test cost goals
Productize test programs and methodologies for seamless transition from engineering to high-volume manufacturing
Analyze field return data and system-level failures to identify test coverage gaps and implement improved screening methods
Drive ATE-system correlation activities to ensure test program accuracy and validate performance against system specs
Manage relationships with test vendors, OSAT partners, and foundry partners
You may be a good fit if you have (Must-have qualifications)
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field
5-10+ years of hands-on experience in silicon validation, product engineering, and ATE test development for advanced node semiconductors
Proven track record in yield optimization and DPPM reduction with quantifiable results
Experience with silicon characterization methodologies including Fmax/Vmin characterization and power/thermal validation
High-volume manufacturing test experience with demonstrated production scale results
Proficiency in yield and fail pareto analysis using JMP, Exensio, DataPower, or OptimalPlus
Strong understanding of test program debugging, failure analysis correlation, and yield enhancement techniques
Strong candidates may also have experience with (Nice-to-have qualifications)
Experience developing and optimizing ATE test programs for wafer sort and final test on
Advantest V93K platforms
Experience managing wafer sort and final test across multiple advanced process nodes
GPU, HPC, or AI accelerator chip testing background with production scale results
HBM or high-speed memory interface testing and characterization experience
Leading NPI through high-volume production with multi-vendor qualification across multiple OSAT sites
Driving significant cost reduction initiatives
Multi-site parallel testing strategies and test time optimization for large-format dies
Scripting and automation skills (Python, Perl, TCL) for test data analysis and workflow automation
Cross-functional leadership in silicon bring-up and manufacturing ramp
Benefits
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2.5k per month for those living within walking distance of the office
Relocation support for those moving to San Jose (Santana Row)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
How we’re different
Etched believes in the Bitter Lesson . We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.
We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.