Senior C/C++ Embedded SDE — ML Accelerator Co-Design Lead

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 193,000 - 262,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs in Cupertino, CA is seeking an experienced C/C++ engineer to join our embedded software team, creating bare-metal firmware for neural network model execution on our ASIC-based ML accelerators.

You will collaborate with RTL designers and software teams to drive design, verification, and performance improvements, mentor junior engineers, and help set technical direction in a fast-paced, startup-like environment at AWS.

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.

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
• Team tech lead for best practices, computer architecture and software design choices
• Mentor, coach and set technical direction for other software Engineers

Skills

C/C++

Embedded software

Firmware development

Mentor / team lead

Hardware/Software co-design

Code reviews / SDLC

Education

Bachelor's degree in computer science or equivalent

Job description

Annapurna Labs in Cupertino, CA is seeking an experienced C/C++ engineer to join our embedded software team, creating bare-metal firmware for neural network model execution on our ASIC-based ML accelerators.

You will collaborate with RTL designers and software teams to drive design, verification, and performance improvements, mentor junior engineers, and help set technical direction in a fast-paced, startup-like environment at AWS.