Annapurna Labs Ltd.
Semiconductor
SWDevOpsandTestInfrastructureStudent,NitroSWTeam
Neural analysis suggests this role is
optimal for Mid+ candidates.
“SW DevOps and Test Infrastructure Student, Nitro SW Team at Annapurna Labs Ltd.. Skills: DevOps, Test Infrastructure, CI/CD, Embedded Systems. Design CI/CD pipelines. Implement CI/CD pipelines”
Industry & Context.
Debugging; Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Computer Engineering/ Electrical Engineering/Computer Science student, Hands-on coding experience with Python, Familiarity with groovy, Experience with Linux environments, Familiarity with CI/CD concepts and tools, Available for 2.5 to 3 work days per week
Nice to Have
Team player, Excellent at multitasking, Self-learning, Familiarity with AWS services, Knowledge of test automation frameworks, Knowledge of test automation methodologies
What You'll Do.
Design CI/CD pipelines
Implement CI/CD pipelines
Maintain CI/CD pipelines
Design automated testing infrastructure
Implement automated testing infrastructure
Maintain automated testing infrastructure
Develop continuous integration workflows
Optimize continuous integration workflows
Develop continuous delivery workflows
Optimize continuous delivery workflows
Ensure reliable build processes
Ensure efficient build processes
Ensure reliable test processes
Ensure efficient test processes
Ensure reliable deployment processes
Ensure efficient deployment processes
Build automated testing pipelines
Maintain automated testing pipelines
Improve automated testing pipelines
Enable fast test execution
Enable reliable test execution
Enable repeatable test execution
Develop test frameworks
Develop automation solutions
Apply software testing methodologies
Ensure quality at scale
Dive deep into failures
Perform systematic debugging
Perform root cause investigation
Resolve complex issues
Improve system reliability
Manage test environments
Manage build configurations
Manage deployment automation
Participate in code reviews
Participate in incident triage
Participate in troubleshooting activities
Improve development velocity
Improve product quality
Leverage AI-based tools
Leverage AI assistants
Accelerate test development
Accelerate failure triage
Accelerate code generation workflows
How You'll Work.
Team & Collaboration
Nitro core software teams; Cross-functional teams
Full Job Description
Annapurna Labs is a semiconductor company established by semiconductor industry veterans and is now part of Amazon Web Services. We develop leading edge products, manufactured with cutting edge technologies. 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 AWS 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 AWS 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
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