Sr. SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems
Amazon · Austin, TX · Software Development
About this role
Amazon is hiring a senior-level Embedded Software Engineer in the software engineering function based in Austin, TX. The posting calls out experience with C, AWS, Deep Learning, Testing and roughly 7+ years of relevant work. Compensation is listed at $193,300–$261,500 per year.
- Role
- Embedded Software Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Austin, TX
- Experience
- 7+ years
- Department
- Software Development
- Posted
- Jul 23, 2025
More roles at Amazon
Job description
from Amazon careersAnnapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration 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 design and implement 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…