Embedded Software Development Engineer, Machine Learning Accelerators - Austin, United States - Amazon
Description
Do you love writing firmware or optimizing signal processing algorithms? Are you a software engineer at heart, but you've 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 silicon chips live at the heart of AWS Machine Learning servers, enabling faster, more powerful, and more accurate machine learning for our customers. Were looking for skilled software engineers to scale the team that develops the embedded software stack critical to the functionality of these cutting-edge system-on-chips (SoCs). Your software will drive execution and management of the neural network program directly from within these chips 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 cutting edge 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
Software / hardware architecture and co-design
Embedded software development, testing, debug, and performance improvements
Test suite and infrastructure development
Developing software which can be maintained, improved upon, documented, tested, and reused
Close collaboration with RTL designers, design verification engineers, and other software teams
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Cupertino, CA, USA
Basic Qualifications
3+ years of non-internship professional software development experience
C or C++ project experience, with strong object-oriented programming background
Experience with computer architecture
Experience developing embedded software or firmware
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
ML/AI background, especially at the lowest level, e.g. kernel development for GPUs or accelerators
Experience developing DSP algorithms
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. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.