We're seeking a Software Development Engineer to help architect, build, and operate the

infrastructure that accelerates silicon development at Annapurna Labs. In this role, you'll

contribute to the platforms, tooling, and automation that enable our chip design teams to iterate

faster, validate more thoroughly, and bring transformative silicon to market. You'll work at the

intersection of cloud infrastructure, high-performance computing, and electronic design

automation-building systems that directly impact AWS's ability to innovate in custom silicon.

This is a unique opportunity to grow your skills in infrastructure that supports chip development

while working with world-class engineers across hardware, software, and operations disciplines.

Key job responsibilities

Customer-Focused Infrastructure Development
• Partner with silicon design, verification, emulation, and software teams to understand

their development workflows, pain points, and iteration cycles.
• Build tooling and automation that eliminates manual toil and reduces time-to-results.
• Gather continuous feedback from internal customers and rapidly iterate on solutions.

Benchmark infrastructure based on silicon development workflows to provide internal

customers with the optimal resources for silicon development.

Own Platform Delivery and Operations
• Design, implement, and operate cloud infrastructure and high-performance computing

clusters using schedulers like Slurm.
• Build and maintain CI/CD pipelines for infrastructure-as-code and service deployments

with comprehensive testing and safe rollback mechanisms.
• Take ownership of platform reliability, performance, and cost efficiency from initial design

through production operation.

Drive Results Through Automation and Observability
• Develop monitoring, diagnostics, and alerting systems that surface actionable insights on

efficiency, utilization, reliability, and cost trends.
• Establish incident response processes, runbooks, and documentation that enable

operational excellence.
• Proactively anticipate system failures and implement preventive measures, reducing

operational toil and improving system resilience.

A day in the life

Each day you will work with some of the best engineers in the industry to develop Machine

Learning Accelerators. On-site in Austin, Texas, you will be part of the team that develops

custom silicon and contribute to the infrastructure that enables this innovation.

You might start your day investigating anomalies in job completion rates or resource utilization

patterns. You could spend your morning collaborating with a design verification team to optimize

their regression workflows, identifying bottlenecks and proposing improvements. In the

afternoon, you might be building new tooling that simplifies infrastructure access for emulation

teams, or contributing to monitoring dashboards that give teams real-time visibility into their

development velocity.

You'll participate in design reviews, contribute to postmortems when incidents occur, and

continuously refine the systems that accelerate the path from RTL to silicon. Throughout the

day, you'll balance immediate customer needs-unblocking a team waiting for compute capacity

-with longer-term platform investments. You'll write code, review infrastructure-as-code

changes, and collaborate across teams who depend on the systems you build.

Take a look inside our labs to see what you will learn at Annapurna Labs:
• https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-

custom-chips
• https://youtu.be/rViVFrQg4Hk

BASIC QUALIFICATIONS

- 5+ years of non-internship professional software development experience

- 5+ years of programming with at least one software programming language experience

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- 5+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience

- Knowledge of systems engineering fundamentals (networking, storage, operating systems)

- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or a related discipline or equivalent

- Experience programming with at least one modern language such as C++, C#, Java,

- Python, Golang, PowerShell, Ruby

PREFERRED QUALIFICATIONS

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Experience utilizing AWS cloud solutions in a DevOps environment

- Experience with Linux/Unix

- Experience in automating, deploying, and supporting large-scale infrastructure

- Experience building services using AWS products

- Experience with CI/CD pipelines build processes

- Experience with high-performance computing (HPC) clusters using workload schedulers like Slurm

- Familiarity with semiconductor development workflows or electronic design automation (EDA) environments

- Experience with monitoring, observability, and incident management at scale

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 168,100.00 - 227,400.00 USD annually