Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
- Pay
- $185,200 – $287,500 per year
- Location
- Austin, TX
- Listed
- Yesterday
About the role
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 consistently released new product innovations that continue to set AWS's services and features 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 who require specialized security solutions for their cloud services.
- Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!
- As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips.
- You will work with architecture, design and emulation teams to build and test our next generation AI chips.
- You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC.
- If you have a solid background in embedded software, system development or chip design, come join us!
Utility Computing (UC)
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 (gender diversity) 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 and 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.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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 software development experience
- Knowledge of HW/SW interfaces and computer architecture
- Proficiency in programming in C/C++, scripting in Bash/Python
- Proficiency in data structures and algorithms
Preferred Qualifications
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring-up and post-silicon validation
Additional information
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Pay and benefits
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.
- USA, CA, Cupertino - 213,000.00 - 287,500.00 USD annually
- USA, CA, San Diego - 185,200.00 - 250,000.00 USD annually
- USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
About the team
Why 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.
Equal opportunity and legal notices
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
From Annapurna Labs (U.S.) Inc.'s careers page, first listed on Rolev.ai on November 9, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration role at Annapurna Labs (U.S.) Inc.?
The Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration posting at Annapurna Labs (U.S.) Inc. states compensation of $185,200 – $287,500 per year. Final pay may depend on location, experience, and interview evaluation on Annapurna Labs (U.S.) Inc.'s official career site.
Where is the Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration job at Annapurna Labs (U.S.) Inc. located?
This Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration position at Annapurna Labs (U.S.) Inc. is located in Austin, TX. Always check Annapurna Labs (U.S.) Inc.'s application page for specific state eligibility or relocation policies.
How do I apply for the Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration position at Annapurna Labs (U.S.) Inc.?
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