Scientific Software Engineer

Summary

QuEra Computing, Inc. seeks a creative and collaborative Scientific Software Engineer to help solve the unique software challenges of integrating high-level applications into state-of-the-art neutral-atom quantum computers. You will have the opportunity to work with a vibrant scientific software team and a community of industry and academic collaborators and to help our growing team of diverse experts address fascinating challenges, ranging from classical compiler techniques to direct integration with low-level hardware components.

Using our open-source toolchain, Kirin, you will be building QuEra’s compiler pipeline together with experimental & computational physicists from low-level hardware instructions to high-level programming languages. This involves the development of new features and infrastructure for hardware execution. You will be co‑designing compilers and hardware infrastructure for the next generation of quantum computing using cutting‑edge neutral‑atom and quantum error correction technologies.

This emerging direction involves novel challenges in both engineering and science.

• Develop and maintain domain‑specific languages (DSLs) involved in the compilation pipeline
• Support customers when usage questions and technical issues arise
• Create comprehensive documentation for our SDK Bloqade and compiler infrastructure Kirin
• Collaborate with scientists and our hardware control team to plan and develop hardware features required for executing QEC algorithms
• Collaborate with other members of the scientific software team to deliver new language and hardware features including new gates, atom shuttling instructions, and low‑level pulse control features

• Ph.D. in Computer Science or Physics with a focus on one or many of quantum computation, quantum architecture, quantum programming language & compilation or quantum physics, or equivalent professional experience
• Enthusiastic about building tools and documentation used by non-software developers
• Experience with Python semantics, Python type hints, and the CPython APIs
• Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation

• Experience with Static Single Assignment intermediate representation