Lead SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems

Job summary

DESCRIPTION Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Ama*** (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.

Benefits

Qualifications

• 7+ years of programming with at least one software programming language experience
• 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience in embedded development in C/C++
• Experience as a mentor, tech lead or leading an engineering team
• PREFERRED
• Bachelor's degree in computer science or equivalent
• Experience writing firmware or bare metal software using C/C++
• Experience in Hardware/Software co-design
• Experience with Hardware-In-The-Loop testing
• Background in Computer Architecture and Design
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Responsibilities

• 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.
• From the ground up, you'll help design and build the foundation that makes this vision possible.
• 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.
• 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.
• 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
• Team tech lead for best practices, computer architecture and software design choices
• Mentor, coach and set technical direction for other software Engineers

Skills

Degrees

Industry

Company size