Senior Software Engineer, Machine Learning Accelerator Technology

Senior Software Engineer, Machine Learning Accelerator Technology

Annapurna Labs, an organization within AWS Utility Computing (UC), designs silicon and software to accelerate innovation. Our custom chips, accelerators, and software stacks allow us to tackle technical challenges never seen before and deliver results that help customers change the world. The MLA Technology team seeks candidates to dive deep into the hardware technologies that power our Machine Learning servers and drive these technologies through software deliverables.

• Develop and maintain software related to machine learning hardware throughout the hardware life cycle.
• Collaborate with silicon design and hardware design teams across EC2.
• Write code that is maintainable, documented, tested, and reusable.

• 5+ years of professional software development experience (non‑internship).
• 5+ years of programming with at least one software programming language.
• 5+ years of leading design or architecture of new and existing systems (design patterns, reliability, and scaling).
• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience as a mentor, tech lead, or leader of an engineering team.

• Bachelor’s degree in computer science or equivalent.
• Experience writing low‑level drivers or troubleshooting/debugging hardware.

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.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

Location: US, Pennsylvania, Breinigsville