Manager, Software Development, Center for Quantum Computing

Job summary

DESCRIPTION The Center for Quantum Computing (CQC) is hiring a Software Development Manager to lead a team of software engineers building applications and infrastructure that support our quantum device fabrication facility. You will own the software stack powering our Manufacturing Execution System, ML-driven inspection systems, and LLM-powered research tools.

Benefits

Qualifications

• 3+ years of engineering team management experience
• 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 7+ years of Software Engineer, Software Developer, or related occupational experience
• Experience partnering with product or program management teams
• PREFERRED
• 5+ years of engineering team management experience
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 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
• and location.
• Amazon also offers comprehensive

Responsibilities

• You will own the software stack powering our Manufacturing Execution System, ML-driven inspection systems, and LLM-powered research
• by setting architectural direction, making key strategic design decisions for the team’s stack.
• Diverse Experiences
• Amazon values diverse experiences.
• Even if you do not meet all of the preferred
• Hire, develop, and retain a high-performing team of software engineers; set technical direction through hands-on involvement in architecture, design and code reviews.
• Work directly with scientists and engineers to understand their problems and propose workable solutions.
• Translate user stories into software design documents demonstrating sensible trade-offs between complexity and delivery.
• Partner with fabrication engineers, research scientists, and program management to define roadmaps translating research needs into software capabilities
• Drive ML-powered initiatives including automated optical inspection systems that detect and classify defects on wafers
• Lead LLM integration projects enabling scientists to query, visualize, and analyze fabrication data through natural language interfaces and autonomous agents
• About the team

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