Annapurna Labs
Technology
SoftwareDevelopmentEngineer,PostSiliconValidation
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer, Post Silicon Validation at Annapurna Labs. Skills: Silicon validation, Machine learning accelerators, Hardware/software integration, Cloud infrastructure. Own critical validation aspects. Validate complete vertical stack”
Industry & Context.
Problem-solving skills; Debug complex hardware/software issues; Root cause analysis; Failure analysis
What They're Looking For.
Must Have
Bachelor's degree or above, 3+ years post-silicon validation experience, 3+ years system validation experience, Python, Lua, C/C++, Rust programming skills, Develop and execute validation test plans, Complex SoCs, CPUs, or accelerators validation, Hands-on lab experience, Hardware bring-up and debug equipment, Solid understanding of computer architecture, Solid understanding of digital design principles, Proficiency with Linux environments, Proficiency with Git, Proficiency with SSH
Nice to Have
Experience building automated test frameworks, Experience building CI/CD pipelines, Deep domain expertise in PCIe, Deep domain expertise in HBM2/HBM3, Experience with ML hardware architectures, Experience with neural network accelerators, Experience with GPU validation, Hands-on emulation platform experience, Knowledge of AWS services, Knowledge of cloud infrastructure, Firmware development experience, Experience with EDA simulation tools, Experience with SystemVerilog/UVM testbenches, Track record of leading validation efforts, Mentoring engineers, Highly motivated self-starter, Comfortable with ambiguity, Comfortable with fast-paced environments, Systems thinker, Understands full validation lifecycle
What You'll Do.
Own critical validation aspects
Validate complete vertical stack
Dive deep into new technology hardware
Ensure component integration
Develop comprehensive validation strategies
Develop detailed test plans
Execute complex test plans
Conduct hands-on silicon bring-up
Conduct hands-on silicon debug
Validate ML accelerator performance
Validate ML accelerator accuracy
Validate ML accelerator reliability
Build test infrastructure
Build automated regression frameworks
Drive root cause analysis
Provide feedback to improve design quality
Provide feedback to improve validation coverage
Support production systems
How You'll Work.
Team & Collaboration
Collaborate with architecture teams; Collaborate with RTL design teams; Collaborate with design verification teams; Collaborate with firmware teams; Collaborate with software teams; Cross-functional collaboration
Process & Methodology
Validation strategies, Test plans
Full 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—t
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