Software Development Engineer - Silicon Development Infrastructure

Amazon is hiring a Software Development Engineer - Silicon Development Infrastructure in Austin, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Slurm, CI/CD and Python.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Software Development Engineer building infrastructure, HPC clusters, and automation tools to accelerate custom silicon and ML accelerator development.

SlurmCI/CDPythonLinux

high-performance-computingcloud-infrastructureautomationinfrastructure-as-codeobservability

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

About the team
At Annapurna Labs, your infrastructure work directly enables breakthrough innovations in
custom silicon that power AWS and transform industries. You'll collaborate with world-class chip
designers, verification engineers, and software developers who are pushing the boundaries of
what's possible. We offer the resources and scale of AWS with the innovation culture and
technical depth of a focused silicon team.
If you're passionate about building infrastructure that accelerates innovation, thrive on customer
obsession and ownership, and want to see your work enable the next generation of AWS silicon
—we want to hear from you

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 2+ years of non-internship professional software development experience
- 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ 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, Computer Engineering, Electrical Engineering or a related field
- Experience programming with at least one modern language such as C++, C#, Java,
- Python, Golang, PowerShell, Ruby

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 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 programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust with demonstrated ability to write production-quality, maintainable code
- • Experience utilizing AWS cloud solutions in a DevOps environment with infrastructure as code (CloudFormation, Terraform, CDK)
- • 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

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 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 - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer - Silicon Development Infrastructure at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer - Silicon Development Infrastructure is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $144k-$194k a year.
The role is based in US, TX, Austin.
The job was posted on July 24, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

High Performance ComputingCloud InfrastructureAutomationInfrastructure As CodeObservabilitySlurmCI/CDPython

Also common in software engineer jobs at this level

Kubernetes TypeScript React JavaScript Docker Azure

Pay

This job starts at: $144k
Typical software engineer job: $167k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where high performance computing was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Tell me about a project where observability was part of your work. What did you do?

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List these exact terms on your resume: High Performance Computing, Cloud Infrastructure, Automation, Infrastructure As Code, and Observability. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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