Embedded Software Development Engineer, Machine Learning Accelerators

Amazon; Austin (TX); On-site; USD 129,300 - 223,600; Full time

Benefits offered by this job

Equity options

Medical benefits

Financial benefits

Workplace accommodations

Job summary

An established industry player is seeking an Embedded Software Development Engineer to work on innovative machine learning accelerators. This role involves developing embedded software for custom silicon chips, collaborating closely with design teams, and improving product performance. You will be part of a fast-paced environment, working with leaders in technology to drive the future of machine learning. If you are passionate about embedded systems and eager to make a significant impact, this opportunity is perfect for you. Join us in democratizing access to cutting-edge technology and transforming the industry.

Qualifications

• 3+ years of professional software development experience.
• Experience in embedded development and programming languages.

Responsibilities

• Collaborate on software/hardware architecture and co-design.
• Develop and test embedded software for performance improvements.

Skills

Embedded Software Development

Signal Processing Algorithms

Machine Learning

C/C++ Programming

Software Architecture

Debugging

Education

Bachelor's degree in Computer Science

Tools

Source Control Management

Job description

Embedded Software Development Engineer, Machine Learning Accelerators

Do you love writing firmware or optimizing signal processing algorithms? Are you a software engineer at heart, but you enjoy working with embedded microcontrollers, SOCS's or dabbled in RTL development? Have you heard about machine learning and want to get your hands dirty? Are you an ML kernel developer who wants to make a big impact by getting closer to the hardware? If any of those are true, awesome - this is the role for you. Come join us!

Custom Amazon designed silicon chips live at the heart of AWS Machine Learning servers, enabling faster, more capable, and more accurate machine learning for our customers. We’re looking for skilled software engineers to scale the team that develops the embedded software stack critical to the functionality of these bleeding-edge system-on-chips (SoCs). Your software will directly drive the execution and management of hardware accelerated neural network models deep within the SOC's Neuron Cores.

You'll also work closely with our architecture and design teams to drive hardware/software co-design, developing both firmware and custom hardware that enables ML within our accelerator chips. Our team's charter is to make deep learning pervasive for everyday software developers and to democratize access to industry leading infrastructure - you'll be enabling that vision from the ground up.

This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry.

You'll learn about the inner workings of ML and our accelerators as part of your onboarding, so no prior ML knowledge is required for this role, but any ML background you have will be helpful.

Key job responsibilities

1. Software / hardware architecture and co-design
2. Embedded software development, testing, debug, and performance improvements
3. Test suite and infrastructure development
4. Developing software which can be maintained, improved upon, documented, tested, and reused
5. Close collaboration with RTL designers, design verification engineers, and other software teams

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
- Experience in embedded development in C/C++

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 this link for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.