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Post Silicon Validation Jobs (NOW HIRING)

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Silicon Validation Engineer, Software

San Jose, CA · On-site

$2.0K/mo

Validate and characterize custom IP blocks and accelerator components on both pre- and post-silicon platforms. * Use debug consoles and lab tooling (JTAG, UART, logic/protocol analyzers) for silicon ...

Etched

Silicon Validation Engineer, Software

San Jose, CA · On-site

$2.0K/mo

Validate and characterize custom IP blocks and accelerator components on both pre- and post-silicon platforms. * Use debug consoles and lab tooling (JTAG, UART, logic/protocol analyzers) for silicon ...

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How much do post silicon validation jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for post silicon validation in the United States is $50.45, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $61.30 per hour, depending on experience, location, and employer.

What is post silicon validation?

Post Silicon Validation is the process of testing and verifying a semiconductor chip’s functionality, performance, and reliability after it has been manufactured. This stage is critical because it helps ensure that the hardware operates as intended in real-world conditions, identifying any issues that may not have been detected during pre-silicon simulation or emulation. Engineers use specialized test setups to validate features, diagnose bugs, and work closely with design teams to resolve any defects. Successful post silicon validation helps ensure product quality and reduces the risk of costly recalls or failures after the chip is released to customers.

What are the key skills and qualifications needed to thrive as a post silicon validation engineer?

To thrive as a Post Silicon Validation Engineer, you need a solid background in electrical engineering, digital design, and experience with silicon debugging, often supported by a relevant degree. Familiarity with hardware description languages (HDL), lab equipment (oscilloscopes, logic analyzers), and tools like JTAG, as well as scripting languages such as Python or Perl, is typically required. Attention to detail, strong analytical thinking, and effective communication are crucial soft skills for diagnosing complex issues and collaborating with cross-functional teams. These skills and qualifications are essential to ensuring that silicon chips meet design specifications and function reliably before mass production.

What are some common challenges faced in post silicon validation, and how can candidates prepare to address them?

Post Silicon Validation engineers often encounter challenges such as debugging complex hardware-software interactions, reproducing intermittent failures, and working with limited documentation or pre-silicon models. To address these, candidates should develop strong problem-solving skills, gain hands-on experience with lab equipment, and become proficient in scripting and automation tools. Collaborating closely with design, firmware, and test teams is also essential to efficiently pinpoint issues and implement solutions, making strong communication skills highly valuable.

What is the difference between Post Silicon Validation vs Silicon Validation Engineer?

AspectPost Silicon ValidationSilicon Validation Engineer
CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fieldsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentPost-production testing, debugging, and validation on actual silicon chipsPre-silicon testing, simulation, and verification of chip designs
Industry UsagePrimarily after chip fabrication, focusing on real hardwareDuring design phase, before fabrication, focusing on verification
Common Search/ComparisonPost Silicon Validation vs Silicon Validation Engineer

Post Silicon Validation involves testing and validating chips after fabrication to ensure they meet specifications, while Silicon Validation Engineers focus on verifying chip designs before manufacturing. Both roles require similar technical backgrounds but differ in timing, environment, and specific tasks within the chip development lifecycle.

What does a post silicon validation engineer do?

A post silicon validation engineer tests and verifies the functionality, performance, and reliability of hardware chips after fabrication. They develop test plans, use specialized tools and equipment, and analyze test data to identify and troubleshoot issues before the product is released. This role requires knowledge of hardware design, scripting, and debugging skills.

What skills are needed for post silicon validation?

Post silicon validation requires strong knowledge of hardware design, debugging skills, and proficiency with scripting languages like Python or Perl. Familiarity with FPGA or ASIC testing tools, understanding of system architecture, and experience with test automation are also important for verifying chip functionality after fabrication.
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Post Silicon Validation jobs near you
Infographic showing various Post Silicon Validation job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 6% Part Time, 18% Contract, and 6% Nights. Highlights an 100% In-person job distribution, with an average salary of $104,945 per year, or $50.5 per hour.

ML Accelerator Performance Validation Engineer, Post Silicon Validation

Amazon

Austin, TX • On-site

Full-time

Re-posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before


Join our Post-Silicon Validation team to quantify and qualify the performance of AWS's custom ML training chips against architectural targets. You'll bridge the gap between silicon capabilities and real-world ML workload demands - ensuring our accelerators deliver on latency, throughput, and efficiency promises at cloud scale.
You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on next generation AI/ML hardware that powers AWS's training and inference infrastructure.

Your analysis will directly shape architectural decisions for next-generation accelerators and determine when silicon is ready for production deployment.
Key job responsibilities
Design and execute performance benchmarks spanning micro-architectures to full model training
Measure and analyze compute throughput, memory bandwidth, interconnect latency, and more
Profile real ML workloads (transformer models, LLMs, vision models) on silicon
Identify performance bottlenecks and work with architecture teams on optimization
Build automated performance regression dashboards and tracking infrastructure
Correlate silicon measurements against RTL simulation and emulation predictions
A day in the life
Your primary focus is measuring and understanding how our AI chips perform under real workloads. You'll spend mornings digging into benchmark results - figuring out where cycles are being lost and why throughput isn't hitting targets.

When something looks off, you'll instrument the hardware, profile the pipeline, and work with design teams to get it fixed. Some days you'll be developing and running full training models end-to-end; others you'll be building the dashboards that tell leadership whether silicon is ready to ship.
About the team
The MLA Post-Silicon Validation team owns validation of AWS's next-generation ML training accelerators from first silicon through production deployment in AWS data centers.

We sit at the intersection of hardware, firmware, and ML software - ensuring every layer of the stack performs, scales, and meets the quality bar. Our team culture values deep technical ownership, data-driven decisions, and a bias for action. We operate with startup agility backed by AWS-scale resources, and our work directly enables the cloud computing infrastructure that millions of customers rely on for AI/ML workloads.

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Hours and flexibility

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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