What you'll do
- Lead design and development of next-generation AWS AI/ML cloud servers with a focus on performance and scalability.
- Collaborate cross-functionally with software, hardware, and network engineers to deliver high-quality, reliable server infrastructure.
- Develop and implement AI-driven automation tools and workflows to enhance engineering productivity and system diagnostics.
- Own system architecture and proactively identify and resolve complex server platform issues across hardware and software stacks.
- Drive improvements in server testability, reliability, and operational excellence through innovative debugging and automation solutions.
What you should know
- This role requires a deep understanding of both hardware and software stacks, including x86 architecture and modern device protocols.
- Candidates should be comfortable working in a fast-paced, collaborative environment with diverse technical teams.
- Opportunity to work at the intersection of AI automation and cloud platform development, influencing core architecture and AI tools.
- Applicants should expect to take ownership of complex technical challenges and deliver scalable, reliable solutions impacting AWS’s bottom line.
- AWS encourages candidates with non-traditional backgrounds and diverse experiences to apply, valuing curiosity and innovation.
About the company
- AWS is a global leader in cloud computing, pioneering innovation with a broad suite of services trusted by startups and Global 500 companies.
- The company culture emphasizes inclusion, diversity, and continuous learning, supported by employee-led affinity groups and mentorship programs.
- AWS Hardware Engineering focuses on frugal, operationally excellent server designs critical to AWS’s business and millions of customers.
- AWS Infrastructure Services manages the design, delivery, and operation of global cloud infrastructure, ensuring high availability and security.
- Amazon is committed to being Earth’s Best Employer, promoting work-life balance, flexibility, and career growth opportunities.
Key required skills
C++PythonGox86 architectureLinuxPCIe - protocolSystem debuggingAutomation