Post-Silicon Systems Validation Engineer I, Annapurna Labs

Annapurna Labs; Austin (TX); In loco; USD 116.000 - 142.000; Tempo pieno

Descrizione del lavoro

Annapurna Labs in Austin, TX, an AWS organization, seeks a Validation Engineer for its Silicon Validation team responsible for next-generation ML accelerators powering AWS infrastructure. You will lead cross-disciplinary validation across silicon, PCB, and high-speed interfaces while collaborating with architecture, RTL, firmware, and software teams.

We expect strong programming skills, deep computer architecture knowledge, and hands-on validation経験 with RTL simulation and emulation.

Competenze

• Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
• Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
• Experience using AI-assisted development tools in academic or professional settings
• Strong understanding of computer architecture

Mansioni

• Develop and implement comprehensive validation strategies and test plans from silicon bring-up to product release
• Execute complex test plans in RTL simulation, emulation, and physical silicon validation
• Conduct hands-on silicon bring-up and debugging using lab equipment
• Validate ML accelerator performance, accuracy, and reliability with real neural network workloads
• Build test infrastructure, CI/CD pipelines, and automated regression frameworks
• Collaborate with architecture, RTL design, firmware and software teams to triage failures and drive root-cause analysis
• Review results and improve design quality and validation coverage
• Support production systems in AWS data centers and address field issues as needed

Conoscenze

Python

Lua

C/C++

Rust

Go

Java

C#

TypeScript

Computer Architecture

AWS Services

BIOS/BMC

RTL Simulation

CI/CD

Strumenti

SystemVerilog/UVM

VCS

Questa

Xcelium

Palladium

Zebu

Veloce

Descrizione del lavoro

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

Basic Qualifications

• Are 18 years of age or older
• Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
• Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
• Experience using AI-assisted development tools in academic or professional settings

Preferred Qualifications

• Experience from a technical internship
• Experience in optimization mathematics such as linear programming and nonlinear optimization
• Experience with distributed, multi-tiered systems, algorithms, and relational databases
• Work 40 hours/week, and overtime as required
• Experience from previous technical internship(s) or demonstrated project experience
• Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

Austin, TX, USA - 129,000.00 USD Annually

Company

Annapurna Labs (U.S.) Inc.

Job ID: A10602663