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Post Silicon Validation Engineer Jobs in Texas (NOW HIRING)

NVIDIA is seeking passionate Senior Silicon Validation Engineers to validate the world's leading ... Exposure to post silicon bringup and validation, and familiarity with production flows. * Proven ...

... engineering day and per compute dollar. * Build and scale the emulation environment into the ... Post-Silicon Bring-Up & Debug * Establish the post-silicon bring-up plan, lab infrastructure, and ...

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Post Silicon Validation Engineer information

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$48

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How much do post silicon validation engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for post silicon validation engineer in Texas is $48.44, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $58.89 per hour, depending on experience, location, and employer.

What is a post silicon validation engineer?

A Post Silicon Validation Engineer is a professional who tests and validates integrated circuits (ICs) or chips after they have been fabricated ('post-silicon'). Their main role is to ensure that the hardware functions correctly according to design specifications and to identify any issues that might have been missed during pre-silicon simulation and verification. This involves running a variety of tests using specialized equipment, debugging hardware and firmware, and collaborating with design and verification teams to resolve issues. Post Silicon Validation Engineers play a critical role in the product development cycle by ensuring chip reliability and performance before mass production.

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 or computer engineering, experience with hardware debugging, and proficiency in programming languages like C/C++ or Python. Familiarity with lab equipment (oscilloscopes, logic analyzers), validation frameworks, and knowledge of industry standards is essential, with some roles requiring relevant certifications. Strong analytical skills, problem-solving abilities, and effective communication set top performers apart in this field. These skills are crucial for identifying, diagnosing, and resolving silicon issues quickly to ensure product reliability and meet tight development schedules.

What are some common challenges faced by post silicon validation engineers during the product development cycle?

Post Silicon Validation Engineers often encounter challenges such as debugging complex hardware-software interactions, identifying root causes of functional failures, and working under tight deadlines to ensure product readiness. The role requires effective collaboration with design, firmware, and test engineering teams to rapidly resolve issues discovered on silicon. Additionally, engineers must adapt quickly to evolving specifications and toolsets as new silicon revisions are introduced, making adaptability and problem-solving critical to success.

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

AspectPost Silicon Validation EngineerASIC Validation Engineer
CredentialsBachelor's/Master's in Electrical Engineering or Computer EngineeringBachelor's/Master's in Electrical Engineering or Computer Engineering
Work EnvironmentPost-production testing, debugging hardware, and firmware validationPre-silicon design verification, simulation, and functional testing
Industry UsageUsed after chip fabrication to ensure hardware functions correctlyUsed during chip design phase to verify functionality before fabrication

Post Silicon Validation Engineers focus on testing and debugging chips after manufacturing, ensuring hardware functions as intended. In contrast, ASIC Validation Engineers work during the design phase to verify chip functionality through simulation and pre-silicon testing. Both roles require similar educational backgrounds but differ in work environment and project timing.

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For Post Silicon Validation Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Post Silicon Validation Engineer jobs in Texas look for?

The top searched job categories for Post Silicon Validation Engineer jobs in Texas are:

What cities in Texas are hiring for Post Silicon Validation Engineer jobs?

Cities in Texas with the most Post Silicon Validation Engineer job openings:

Infographic showing various Post Silicon Validation Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $100,761 per year, or $48.4 per hour.

Post-Silicon Systems Validation Engineer, Annapurna Labs

Amazon

Austin, TX • On-site

Full-time

Re-posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 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 Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure

You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference
Your work will span validation of the complete vertical stack-silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on.
Key job responsibilities
As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle-from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers

You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains-from low-level hardware interfaces to high-level ML workloads-to deliver exceptional results.
We are looking for candidates with:
- Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
- A solid understanding of computer architecture
- Experience with AWS services, cloud infrastructure, firmware development (BIOS, BMC, drivers)
- Validation experience in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture, and/or CI/CD
- Familiarity with the validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug
A day in the life
- Developing comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release
- Executing complex test plans from RTL simulation and emulation environments through physical silicon validation
- Conducting hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers
- Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads
- Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale
- Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure
- Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage
- Supporting production systems in AWS data centers and addressing field issues as they arise.


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About Amazon

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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.

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

Company size

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Seattle, WA, US