The Machine Learning Systems Firmware Team is looking for candidates interested in writing data-driven software for our Machine Learning servers.
We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world.
We build systems software that initializes custom accelerator chips and monitors peripherals with device drivers for I2C, SPI, PCie and technologies alike.
Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team!
Key job responsibilities
- Member of a team responsible for the software associated with server components and integration in to EC2.
- Develop firmware to initialize, monitor, and manage custom machine learning accelerators at AWS scale.
- Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software.
- Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused.
A day in the life
The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to build scalable firmware for ML acceleration servers.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
PREFERRED QUALIFICATIONS
- Knowledge of computer architecture, operating systems, and parallel computing
- Knowledge of system performance, memory management, and parallel computing principles
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually