Senior Engineer, Quantum Infrastructure & Low-Latency

Amazon; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon Braket is evolving to support fault-tolerant quantum computing. We seek a Senior SDE who can build high-performance systems infrastructure for quantum workloads and craft clean software abstractions.

If you have a background in device drivers, OS kernels, embedded systems, or low-latency distributed infrastructure, this role is for you. You will mentor teams and shape the execution stack for fault-tolerant workloads.

Qualifications

• 5+ years of professional software development (non-internship).
• 5+ years programming in at least one language.
• 5+ years leading design or architecture of systems.
• Experience as mentor or tech lead.

Responsibilities

• Design and implement interfaces that connect Braket's infrastructure to quantum hardware with minimal overhead
• Build session management, memory management, and execution control systems for quantum device interactions
• Optimize the critical path between customer workloads and quantum processors for minimal latency and maximum throughput
• Collaborate with the existing Workload Execution team on shared runtime infrastructure (brokers, scheduling, resource management)
• Work within Braket's established code review and operational readiness processes when contributing to shared production systems
• Work with quantum hardware providers to define and evolve integration specifications
• Contribute to the architectural evolution of Braket's execution stack for fault-tolerant workloads

Skills

Software development

Programming

Design patterns

Mentorship

Job description

Amazon Braket is evolving to support fault-tolerant quantum computing. We seek a Senior SDE who can build high-performance systems infrastructure for quantum workloads and craft clean software abstractions.

If you have a background in device drivers, OS kernels, embedded systems, or low-latency distributed infrastructure, this role is for you. You will mentor teams and shape the execution stack for fault-tolerant workloads.