TL;DR
Senior Software Development Engineer (C/C++ AI): Designing and implementing bare metal firmware for custom ASIC-based ML Accelerator chips with an accent on hardware/software co-design and neural network model execution. Focus on democratizing access to industry-leading ML infrastructure and shaping the future of AI acceleration.
Location: Must be based in the USA, with specific salary ranges for Cupertino, CA, and Austin, TX.
Salary: $193,300–$261,500 USD annually (Cupertino, CA) or $168,100–$227,400 USD annually (Austin, TX).
Company
hirify.global, a part of Amazon Web Services (AWS), stands at the forefront of hardware/software co-design, leading innovation in machine learning products with custom silicon solutions.
What you will do
- Apply Software/Hardware co-design principles for ML accelerator chips.
- Design, implement, test, debug, and improve embedded software.
- Develop bare metal firmware for neural network model execution on custom ASICs.
- Design test suites and infrastructure.
- Collaborate closely with RTL designers, design verification engineers, and other software teams.
- Mentor software engineers on best practices, computer architecture, and software design.
Requirements
- Must have legal authorization to work in the USA.
- 7+ years of non-internship professional software development experience.
- 7+ years of programming with C/C++.
- 7+ years of full software development life cycle experience (coding standards, code reviews, source control, build processes, testing, operations).
- 5+ years of leading design or architecture of new and existing systems.
- Experience as a mentor, tech lead, or leading an engineering team.
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
- Operates with the agility and culture of a startup, backed by Amazon.
- Comprehensive benefits including health insurance (medical, dental, vision, prescription), 401(k) matching, paid time off, and parental leave.
- Opportunity to learn about the inner workings of ML and custom ML accelerators.
- Work with thought-leaders in multiple technology areas.
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