Senior Embedded Systems Engineer (Quantum Computing)

Position Summary

Infleqtion is on a mission to commercialize atom-based quantum technologies that deliver orders-of-magnitude improvements in sensing and computing applications. As a deep-tech startup, we embrace a results-driven, fast-paced, and customer-focused approach to innovation. We are seeking self-motivated, energetic individuals with exceptional problem-solving and technical skills to help drive our Quantum Computing mission forward. We encourage applications from engineers with expertise in high-performance signal processing in programmable logic, particularly those with experience in RF waveform synthesis, high-bandwidth control servos, image processing, or math accelerators.

At Infleqtion we embrace a startup mentality driven by results, urgency, and customer-focused innovation:

• We break down barriers between disciplines, stepping in wherever we can make the biggest impact.
• We thrive in uncertainty, embracing challenges as opportunities.
• We move quickly to prototype while never losing sight of the critical importance of systems engineering process and attention to detail.
• We take bold, calculated risks to drive progress.

JOB RESPONSIBILITIES

The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

• Collaborate with physicists and across electrical, software, and opto-mechanical engineering domains to deliver optimal embedded system solutions for quantum applications.
• Develop testable, performant, and scalable RTL using SpinalHDL.
• Support hands on tuning and troubleshooting in laboratory and test bench environments
• Architect processing chains with supporting analytical models to ensure that critical design requirements are met.
• Embrace best modern software engineering practices to ensure robustness and maintainability and facilitate collaboration. This includes leveraging revision control, CI pipelines, static analysis tools, and automated build pipelines.
• Participate in design, code, and data reviews.