Annapurna 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 youre 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. Were seeking an experienced C/C++ engineer to join our embedded software team, where youll 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, youll 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 developers. From the ground up, youll help design and 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. We invite you to 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 youll work with thought-leaders in multiple technology areas. Youll have high standards for yourself and everyone you work with, and youll be constantly looking for ways to improve our products performance, quality, and cost. Were 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:
• Applying Software/Hardware co-design principles • Embedded software design, implementation, testing, debugging and performance improvements • Test suite and infrastructure design • Owning the design and final implementation of maintainable, documented and well tested software • Close collaboration with RTL designers, design verification engineers, and other software teams • Mentoring of software engineers on best practices, computer architecture and software design choices