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A leading tech company in Austin is seeking an SDE for its pre-silicon team to innovate machine learning chips. This role involves developing hardware/software solutions, collaborating with design teams, and verifying chip functionalities through embedded software. Ideal candidates should have substantial experience in software and system design as well as proficiency in programming.
SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration job at Annapurna Labs (U.S.) Inc., Austin, TX.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to new product features that set AWS apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers requiring specialized security solutions for their cloud services. Custom machine learning chips are at the core of our Trainium machine learning instances, and we invite you to build them with us!
As an SDE in the pre-silicon team, you will drive pre-silicon hardware/software co-development for our machine learning chips. You will collaborate with architecture, design, and emulation teams to develop new silicon functionalities. Your responsibilities include writing bare-metal software to verify end-to-end SoC functionality and assessing the performance of various subsystems. If you have a solid background in embedded software, system development, or chip design, we encourage you to join us!
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups and Fortune 500 companies alike. Our Utility Computing (UC) division supports a wide range of foundational and innovative services, including security solutions tailored to customer needs.
At AWS, we foster a culture of inclusion through employee-led affinity groups, ongoing events, and learning experiences such as CORE and AmazeCon, celebrating diversity and promoting continuous learning.
We value flexibility and work-life harmony, supporting our employees to succeed both professionally and personally.
We offer abundant resources for knowledge-sharing, mentorship, and career development to help you grow into a well-rounded professional.
Amazon values diverse backgrounds and experiences. Even if you do not meet all preferred qualifications, we encourage you to apply, especially if your career path has been unconventional or includes alternative experiences.