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We are a fabless semiconductor company founded by industry veterans, operates as part of us. We develop leading-edge semiconductor products that power Amazon's cloud infrastructure.
As a startup-like organization within us, we create technologies that drive the world's largest cloud provider. Our engineers work with cutting-edge technologies to innovate and shape the future of cloud computing. At Annapurna Labs, you'll experience a fast-paced environment that offers continuous learning opportunities and the chance to develop next-generation platforms.

The Nitro core software team develops solutions for the Nitro System-on-Chip (SoC). As a part of our team, you will design, implement, and maintain CI/CD pipelines and automated testing infrastructure for Nitro core software. You will develop and optimize continuous integration and delivery workflows using frameworks such as Jenkins and internal CI/CD pipelines, ensuring reliable and efficient build, test, and deployment processes.

Key job responsibilities
The role includes:
CI/CD Infrastructure Development - Building, maintaining, and improving automated testing pipelines using Jenkins, internal CI/CD frameworks, and related DevOps tooling to enable fast, reliable, and repeatable test execution.
Test Automation Engineering - Developing test scripts, frameworks, and automation solutions for Nitro embedded systems, applying software testing methodologies to ensure quality at scale.
Debugging & Root Cause Analysis - Diving deep into failures across the CI/CD pipeline and embedded software stack, performing systematic debugging, log analysis, and root cause investigation to resolve complex issues and improve system reliability.
Infrastructure as Code - Managing test environments, build configurations, and deployment automation using scripting and DevOps best practices.
Collaboration - Working directly with Nitro core software teams, participating in code reviews, incident triage, and troubleshooting activities to continuously improve development velocity and product quality.
AI-Assisted Development - Leveraging AI-based tools and assistants (e.g., Amazon Q, Copilot, LLM-based analysis) to accelerate test development, failure triage, and code generation workflows.
This role offers hands-on experience in DevOps engineering and test infrastructure for embedded systems, allowing you to apply academic knowledge to practical, production-scale projects. This position provides an excellent opportunity to gain industry experience in CI/CD practices, enhance technical and operational skills, and build a foundation for a career in DevOps, embedded systems testing, and infrastructure engineering.

we're seeking a visionary Design Verification Student to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, designing complex solutions that sit at the heart of our most ambitious connectivity projects.

As a Design Verification Student, you will be at the forefront of quality, learning how to ensure that the chips powering the world's largest AI clusters are bug-free and robust.
This isn't just about running tests - its an opportunity to learn advanced verification methodologies (UVM/SystemVerilog) alongside world-class engineers. You will support the development of sophisticated testbenches and help verify high-performance digital blocks that sit at the heart of AI infrastructure.



Key Responsibilities


Assist in building and maintaining System Verilog/UVM-based testbenches, including monitors, checkers, and functional coverage models
Run simulations, analyze failures, and work with the design team to debug and resolve RTL issues
Help define and implement functional coverage and assertions to ensure all "corner cases" of the design are tested
Utilize and improve scripting (Python/Tcl) to streamline verification flows and result reporting
Partner with Design Engineers to understand block specifications and ensure the verification plan matches the design intent