Low-Level Systems Engineer (C/C++) – Embedded Silicon

Amazon Web Services (AWS); Illinois; On-site; USD 98,000 - 176,000; Full time

Job summary

Annapurna Labs Ltd., an Amazon company, is at the forefront of cloud infrastructure innovation. Our team designs custom silicon that powers the world's largest cloud — from Graviton processors and Nitro security chips to Trainium and Inferentia machine learning accelerators.

We are a multidisciplinary engineering organization where hardware meets software at a massive scale. Our chips and systems run millions of workloads across AWS, and our low-level software is the critical layer that brings

Qualifications

• 5+ years of non-internship professional software development experience.
• 2+ years in design or architecture (design patterns, reliability and scaling) of new and existing systems.
• Experience programming with C/C++ or similar language.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities

• Design, develop, and optimize low-level software including device drivers, firmware, and hardware abstraction layers.
• Collaborate with hardware design teams to define hardware–software interfaces and bring‑up new silicon.
• Write performance‑critical systems software in C/C++ under strict latency and resource constraints.
• Debug complex hardware–software interactions.
• Contribute to system architecture decisions and define software design patterns for next‑gen chip features.
• Develop and maintain automated test frameworks to validate functionality and performance at scale.
• Participate in code reviews and drive engineering best practices within the team.

Skills

C/C++

Embedded software

Debugging mindset

System design

Education

Bachelor's degree in CS/Engineering

Tools

Linux

CI/CD

Job description

Annapurna Labs Ltd., an Amazon company, is at the forefront of cloud infrastructure innovation. Our team designs custom silicon that powers the world's largest cloud — from Graviton processors and Nitro security chips to Trainium and Inferentia machine learning accelerators.

We are a multidisciplinary engineering organization where hardware meets software at a massive scale. Our chips and systems run millions of workloads across AWS, and our low-level software is the critical layer that brings