Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs; AWS

The Senior SoC Software Dev Ops Engineer role focuses on enabling rapid and reliable development of software for AWS’s most advanced custom machine learning chips. The engineer serves as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre‑silicon simulation environments and post‑silicon production deployments. By building robust automation and tooling, the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available, directly impacting AWS’s ability to deliver advanced ML infrastructure to its largest customers.

This position operates at the intersection of hardware and software, requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. The engineer will remove infrastructure burdens so that teams can focus on feature development, with success measured by improvements in development velocity, release quality, and system stability.

The engineer will:

• Own the end‑to‑end CI/CD pipelines and release processes for all SoC software components, including firmware, hardware abstraction layers, and modeling tools.
• Design, maintain, and evolve systems that produce reliable releases for both internal verification teams and external AWS services, ensuring pipelines function across heterogeneous environments such as corporate networks and VPCs.
• Build qualification workflows that guarantee software meets strict quality standards before reaching customers or verification teams.
• Develop hardware‑in‑the‑loop test infrastructure that validates SoC software on actual silicon in laboratory and automated testing settings, creating frameworks to run tests on real chips and integrate results into continuous integration workflows.
• Build observability tools such as dashboards that track build health, test coverage, and pipeline performance, and implement alerting systems that notify teams of regressions.
• Identify and remove friction in development workflows, such as slow build times or complex release steps, using data‑driven insights to prioritize improvements that accelerate team productivity.
• Solve novel problems like bridging disconnected environments and orchestrating synchronized releases across multiple domains.

We are part of the SoC Software organization within Annapurna Labs. Our three software teams—uCode, HAL (Hardware Abstraction Layer), and Modeling—build firmware, drivers, and virtual platforms for AWS’s custom ML accelerator chips. We operate like a startup: small teams, high ownership, and direct impact on AWS’s most strategic silicon programs. This Dev Ops engineer will work across all three teams, with a mandate to improve velocity, quality, and developer experience for the entire SoC software organization.

• 7+ years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Experience as a mentor, tech lead, or leading an engineering team.
• Programming experience in Python and at least one of:
  Bash, Go, C++, or Java.
• Experience with infrastructure‑as‑code (CDK, Cloud Formation, Terraform, etc.).
• Experience with AWS services (Lambda, S3, EC2, Cloud Watch, IAM, Secrets Manager, etc.).
• Experience with Linux‑based build and development environments.

• Bachelor’s degree in computer science or equivalent.
• Experience with Amazon's internal build and release systems (Brazil, Pipelines, CRUX, Apollo, etc.).
• Experience building cross‑environment or cross‑account automation (e.g., bridging corporate and isolated/air‑gapped environments).
• Experience with Jenkins pipeline development and administration.
• Experience with hardware‑in‑the‑loop testing or supporting hardware/silicon development teams.
• Experience building observability infrastructure: dashboards, metrics pipelines, alerting (Cloud Watch, Quick Sight, or similar).

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

Base salary ranges:

• Cupertino, CA – $ – $ USD annually
• Austin, TX – $ – $ USD annually