Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software

Amazon Web Services (AWS); Austin (TX); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. in Austin, TX is seeking an experienced software engineer for the MLA Systems Software team, focusing on server initialization, monitoring, debug, testing and manufacturing support for ML acceleration servers.

You will develop software in C, C++, Python and Lua, contribute to design and architecture, and collaborate with MLA hardware and manufacturing teams to enable rapid deployment and qualification of software across EC2.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language.

Responsibilities

• Develop software for server components and integration into EC2.
• Collaborate with MLA Hardware, Test and Manufacturing teams to enable qualification and rapid deployment of software.
• Develop software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused.

Skills

C/C++

Python

Lua

Design patterns

Education

Bachelor's degree in computer science or equivalent

Job description

Description

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

Description

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

The Machine Learning Server Software 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.
• 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 help the organization scale through the use of software and automation.

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.

About AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, TX, Austin - 143,700.00 - 194,400.00 USD annually

Company

Annapurna Labs (U.S.) Inc.

Job ID: A10444238