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Post-Silicon Systems Software Validation Engineer

Hired by Matrix

Cupertino, CA

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JOB DETAILS
SALARY
$60–$65 Per Hour
SKILLS
Amazon Web Services (AWS), Architectural Design, Artificial Intelligence (AI), C Programming Language, C++ Programming Language, Cloud Computing, Code Reviews, Computer Architecture, Computer Engineering, Computer Firmware, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Debugging Skills, Debugging Tools, Design Services, Design Verification, Failure Analysis, Functional Testing, GPU (Graphics Processing Unit), Git, Go Programming Language (Golang), Hardware Architecture, Hardware Debugging, Linux Operating System, Logic Analyzer, Lua, Machine Learning, Manufacturing, Mentoring, Network Operations Center, Neural Networks, Oscilloscope, PCI Express (PCI-E), Product Engineering, Production Support, Production Systems, Programming Languages, Protocol Analysis, Python Programming/Scripting Language, Quality Management, RTL Design, RTL Verification, Root Cause Analysis, Rust Programming Language, Semiconductors, Server Hardware, Silicon Bringup, Simulation, Software Architecture, Software Engineering, Software Validation, Source Code/Configuration Management (SCM), Strategic Planning, Stress Testing, System Test, System Validation, SystemVerilog, Test Plan/Schedule, Testing, Vehicle Fleets
LOCATION
Cupertino, CA
POSTED
2 days ago
At-a-Glance:
Are you ready to build your career by joining is a leading global provider of product engineering and semiconductor design services. If so, our client is hiring a Post-Silicon Systems Software Validation Engineer .

Position Type:
  • Contract
  • Onsite
  • Location: (Cupertino, CA and Austin, TX)
     
Required
  • Strong programming skills (Python, Lua, C/C++, Rust, Go, etc).
  • A solid understanding of computer architecture and chip/system validation methodologies.
  • Experience with cloud infrastructure and CI/CD.
  • Firmware testing and/or development (BIOS, BMC, drivers).
  • Domain expertise in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture.
  • Knowledge of the full validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug.
  • 5+ years of programming with at least one software programming language experience.
  • Bachelor's degree or above in computer science, computer engineering, or related field, or bachelor’s degree.
  • 5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience.
  • Experience with Linux environments and Git.
  • Experience with server hardware and debug tools.
  • Experience with Machine Learning Hardware/Software Architecture.
  • Experience with CI/CD.
  • Experience with EDA Simulations or Emulation.
Responsibilities:
  • Senior Validation Engineer on Machine Learning Acceleration team to work from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers.
  • 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.
  • Requires bridging multiple domains and broad scope of impact from low-level hardware interfaces to high-level ML workloads to deliver exceptional results.
    Developing comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause.
  • Role models detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release.
  • Mentors and provides direction to junior validation engineers.
  • Executes complex test plans from RTL simulation and emulation environments through physical silicon validation.
  • Handing complex debug including 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.
  • Delivering new tests to production systems in AWS data centers and manufacturing to improve fleet health.
Get in Touch:
We want to hear from you! If you think you’d be a good match, submit your resume and reach out to Karmina at (862) 658-6689 to learn more.

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About the Company

H

Hired by Matrix

We believe in putting people together for the right reasons. Getting you a great job that makes you feel fulfilled in your career. Finding the perfect candidate to help you achieve business success. Whether you are looking for the best candidate for your company or searching for your next career move, we are dedicated to making sure you thrive. We take your needs personally and have a variety of services to ensure you reach your goals. We listen to the needs of our clients and candidates and then thoughtfully match the right person with the right job. When people come together doing what they love success is guaranteed and partnerships last.
COMPANY SIZE
100 to 499 employees
INDUSTRY
Staffing/Employment Agencies
WEBSITE
http://www.hiredbymatrix.com

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