Lead C/C++ Firmware & HW/SW Co-Design Engineer

Annapurna Labs; San Diego (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking an experienced C/C++ embedded software engineer to join our hardware-software co-design team.

You will develop bare-metal firmware for neural network model execution across our custom accelerator chips and collaborate with RTL and design engineers to improve performance. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our accelerators as part of onboarding.

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 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

Embedded software development

C/C++ programming

Leadership / tech lead

Mentoring engineers

Education

Bachelor's degree in computer science or equivalent

Job description

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking an experienced C/C++ embedded software engineer to join our hardware-software co-design team.

You will develop bare-metal firmware for neural network model execution across our custom accelerator chips and collaborate with RTL and design engineers to improve performance. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our accelerators as part of onboarding.