Lead SDE: Hardware/Software Co-Design for ML Acceleration

Socket.dev; 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, part of Amazon, is seeking an experienced C/C++ engineer to join our embedded software team in Cupertino, CA. You will develop bare metal firmware for neural network model execution on our custom ML accelerator chips.

You will apply software/hardware co-design, lead embedded software design, testing and performance improvements, and collaborate with RTL designers and other software teams. Mentor the team and help set technical direction.

Qualifications

• 7+ years of programming with at least one software programming language experience.
• 7+ years of full software development life cycle experience, 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 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 development

Leadership / mentoring

Education

Bachelor's degree in Computer Science or equivalent

Job description

Annapurna Labs, part of Amazon, is seeking an experienced C/C++ engineer to join our embedded software team in Cupertino, CA. You will develop bare metal firmware for neural network model execution on our custom ML accelerator chips.

You will apply software/hardware co-design, lead embedded software design, testing and performance improvements, and collaborate with RTL designers and other software teams. Mentor the team and help set technical direction.