Senior TPM — Cryogenic Hardware & Electronics

Amazon Web Services (AWS); Pasadena (CA); On-site; USD 148,700 - 201,200; Full time

Job summary

Amazon Web Services (AWS) is seeking a senior technical program manager to coordinate internal/external R&D efforts at the AWS Center for Quantum Computing in Pasadena, CA. You will develop and maintain detailed multi-project schedules from prototypes to production, and partner with cryogenic hardware integration and signals teams to drive progress.

You will identify resource constraints, provide data-driven recommendations, and work across teams to unblock issues while advancing technical

Qualifications

• Senior technical program manager to coordinate internal/external R&D efforts.

Responsibilities

• Produce and maintain detailed plans and schedules for cryogenic hardware and signals R&D activities (including chip cool down planning).
• Identify and forecast resource constraints, opportunities and conflicts, which will be used to drive operational decisions.
• Work across team boundaries to ensure stakeholders are aware of risks/opportunities and timelines.
• Identify operational gaps and generate recommendations and mechanisms to improve operational efficiency.
• Work with stakeholders to define mechanisms that optimize the interface points to cryogenic hardware & signals teams.
• Support/lead the development of requirement documents and statements of work for external contracts (COTS and R&D). You will also support or manage these external contracts.
• Identify opportunities and advocate for areas where inhouse developed software or AI applications can streamline our internal hardware workflows.

Job description

Amazon Web Services (AWS) is seeking a senior technical program manager to coordinate internal/external R&D efforts at the AWS Center for Quantum Computing in Pasadena, CA. You will develop and maintain detailed multi-project schedules from prototypes to production, and partner with cryogenic hardware integration and signals teams to drive progress.

You will identify resource constraints, provide data-driven recommendations, and work across teams to unblock issues while advancing technical