Annapurna Labs
Technology
C/C++Hardware/SoftwareCo-DesignSDE,MachineLearningAccelerationSystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems at Annapurna Labs. Skills: Hardware/software co-design, Machine Learning Acceleration, Embedded software. Co-develop firmware. Co-develop custom hardware”
Industry & Context.
Performance improvements; Quality improvements; Cost improvements
What They're Looking For.
Must Have
3+ years non-internship professional software development, 2+ years non-internship design or architecture, 2+ years programming modern language, Object-oriented design experience
Nice to Have
3+ years full software development life cycle, Bachelor's degree computer science, Experience computer architecture, Experience writing firmware, Experience writing bare metal software
What You'll Do.
Co-develop custom hardware
Develop bare metal firmware
Drive neural network execution
Improve product performance
Improve product quality
Develop infrastructure
Develop maintainable software
Develop improvable software
Develop documented software
Develop testable software
Develop reusable software
How You'll Work.
Team & Collaboration
Architecture teams; Design teams; RTL designers; Design verification engineers; Other software teams
Full Job Description
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 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 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 m
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