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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems - **Company:** Annapurna Labs - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $143,700.0 - $223,600.0 - **Contract:** Internship / Graduate position - **Skills:** Test Suite, Adobe InDesign, Artificial Neural Networks, C++ (Programming Language), Code Review, Computer Programming, Software Debugging, Software Design Patterns, Embedded Software, Firmware, Machine Learning, Azure Machine Learning, Software Engineering, Application Specific Integrated Circuits, Deep Learning, Information Technology, Bare Metal, Build Process, Machine Learning Operations, Software Coding, Software Version Control - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6ea3e00de3ba5c81 ## About the Role Do you have experience in Design patterns?, Do you have a Bachelor's degree?, * 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, * 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 writing firmware or bare metal software using C/C++ ## Description At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. Key job responsibilities * Software / hardware architecture and co-design * Bare metal C/C++ software development, testing, debug, and performance improvements * Test suite and infrastructure development * Developing software which can be maintained, improved upon, documented, tested, and reused * Close collaboration with RTL designers, design verification engineers, other software teams and customers ## Related Videos - [Code to Road in < 12 hours](https://www.wearedevelopers.com/videos/1082-code-to-road-in-12-hours) - [Single Server, Global Reach: Running a Worldwide Marketplace on Bare Metal in a Cloud-Dominated World](https://www.wearedevelopers.com/videos/1206-single-server-global-reach-running-a-worldwide-marketplace-on-bare-metal-in-a-cloud-dominated-world) - [How To Test A Ball of Mud](https://www.wearedevelopers.com/videos/173-how-to-test-a-ball-of-mud) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere](https://www.wearedevelopers.com/videos/940-unleashing-the-full-potential-of-the-arm-architecture-write-once-deploy-anywhere) - [How to Avoid Tech Hype Traps - Josip Stuhli](https://www.wearedevelopers.com/videos/1817-how-to-avoid-tech-hype-traps-josip-stuhli) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)