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Post Silicon System Validation Manager Jobs (NOW HIRING)

The role covers CPU post-si validation planning to silicon Bring-up through production. Role is a ... Strong knowledge of silicon/system validation methodologies * Prior roles leading other managers ...

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Post Silicon System Validation Manager information

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$47.5K

$105.4K

$160.5K

How much do post silicon system validation manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for post silicon system validation manager in the United States is $105,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $132,000.00 per year, depending on experience, location, and employer.

What does a post silicon system validation manager do?

A Post Silicon System Validation Manager oversees the process of testing and validating integrated circuits and systems after the silicon (chip) manufacturing phase. They lead teams responsible for ensuring that hardware products function correctly in real-world scenarios, identifying bugs, and verifying that the product meets design specifications. This role involves coordinating validation activities, creating test plans, analyzing test results, and collaborating with cross-functional teams like design, firmware, and manufacturing. The manager also ensures that any issues found are documented and addressed before mass production, helping to guarantee product reliability and quality.

What are some common challenges faced by a post silicon system validation manager during the product validation cycle?

As a Post Silicon System Validation Manager, you will often encounter challenges such as coordinating cross-functional teams to debug complex issues, managing tight schedules to meet tape-out and product launch deadlines, and ensuring test coverage for both expected and edge-case scenarios. Navigating silicon anomalies and collaborating with design, firmware, and manufacturing teams to resolve them quickly is a key part of the role. Strong communication and problem-solving skills are essential for overseeing validation labs, managing resources, and ensuring that validation results align with product requirements and customer expectations.

What are the key skills and qualifications needed to thrive as a post silicon system validation manager, and why are they important?

To thrive as a Post Silicon System Validation Manager, you need a solid background in electrical engineering or computer engineering, experience with silicon validation, and leadership capabilities. Familiarity with hardware debugging tools (such as oscilloscopes and logic analyzers), scripting languages (Python, Perl), and validation methodologies is crucial, along with knowledge of industry standards. Strong problem-solving skills, effective communication, and the ability to manage cross-functional teams distinguish top performers in this role. These skills ensure the timely delivery of high-quality silicon products by efficiently identifying and resolving complex hardware issues.

What are popular job titles related to Post Silicon System Validation Manager jobs?

For Post Silicon System Validation Manager jobs, the most frequently searched job titles are:

Infographic showing various Post Silicon System Validation Manager job openings in the United States as of June 2026, with employment types broken down into 12% As Needed, 23% Full Time, 6% Part Time, 25% Temporary, 32% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $105,415 per year, or $50.7 per hour.

ML Accelerator Performance Validation Engineer, Post Silicon Validation

Austin, TX • On-site

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 15 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,166 frontline employees who took The Breakroom Quiz


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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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