Senior Software Development Engineer (C/C++ AI)

TL;DR

Sr. Software Development Engineer, C/C++ Hardware/Software Co-Design (AI): Designing and implementing bare metal firmware that drives neural network model execution across custom ASIC-based ML Accelerator chips with an accent on hardware/software co-design, embedded software, and performance optimization. Focus on shaping the future of AI acceleration and democratizing access to industry-leading ML infrastructure.

Location: Onsite in USA, CA, Cupertino or USA, TX, Austin.

Salary: $168,100.00–$261,500.00 USD annually

Company

Annapurna Labs is a division of hirify.global, leading innovation in hardware/software co-design for machine learning products using custom silicon solutions.

What you will do

• Apply software/hardware co-design principles for ML accelerator chips.
• Develop, implement, test, and debug bare metal firmware for neural network model execution.
• Design and own maintainable, documented, and well-tested embedded software.
• Collaborate closely with RTL designers, design verification engineers, and other software teams.
• Mentor software engineers on best practices, computer architecture, and software design choices.

Requirements

• 7+ years of non-internship professional software development experience.
• 7+ years of programming experience with C/C++.
• 7+ years of full software development life cycle experience including coding standards, code reviews, and testing.
• 5+ years of experience leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead, or leading an engineering team.
• Work authorization for the US is required.

Nice to have

• 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.

Culture & Benefits

• Operate with the agility and culture of a startup, backed by Amazon's resources.
• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
• Opportunities to learn about ML and custom ML accelerators during onboarding.
• Work in a fast-paced, challenging environment with thought-leaders.
• Inclusive culture empowering Amazonians to deliver the best results.