Senior SDE: C/C++ HW/SW Co-Design for ML Accelerators

Amazon Inc.; San Diego (CA); Vor Ort; USD 193.000 - 262.000; Vollzeit

Zusammenfassung

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

You'll collaborate with RTL designers and software teams, drive design choices, mentor others, and contribute to hardware/software co-design in a startup-like environment backed by Amazon, shaping the future of AI acceleration.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

7+ years programming

SDLC

Lead architecture

Embedded development

Mentor/tech lead

Ausbildung

Bachelor’s degree in CS or equivalent

Tools

C/C++

Jobbeschreibung

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

You'll collaborate with RTL designers and software teams, drive design choices, mentor others, and contribute to hardware/software co-design in a startup-like environment backed by Amazon, shaping the future of AI acceleration.