
Posted 15 days ago
Senior Software Engineer
AI Summary
Senior Software Engineer on the Pulse Team at Alice & Bob, designing and maintaining low-level software and hardware abstraction layers for a fault-tolerant quantum computer based on Schrödinger cat qubits.
About this role
The team:
The Pulse Team is responsible for developing the low-level software stack that controls the hardware systems enabling our physicists to conduct cutting-edge quantum experiments and eventually be at the core of our quantum computer.
About the role:
As a Senior Software Engineer, you will play a pivotal role in designing, developing, and maintaining robust, high-performance software solutions at the core of our technology. Acting as a technical leader within the team, you will drive architectural decisions, champion engineering best practices, and mentor junior engineers to support their professional growth. You will be in charge of developing the low level of our stack, as close as possible to our hardware.
Your work will be central in bridging scientific R&D, data engineering, and production-grade platform design while enabling researchers and physicists to iterate rapidly without compromising reliability.
Responsibilities
- Design and maintain low-level drivers and hardware abstraction layers for control electronics — including signal generators, AWGs, digitizers, and custom FPGA-based instruments.
- Define clean hardware/software interfaces that decouple control electronics from higher-level experiment logic, enabling fast hardware iteration without breaking the software stack.
- Collaborate closely with physicists and researchers to ensure models and interfaces reflect real experimental needs and enable fast iteration.
- Drive long-term architectural strategy, technical roadmap, and cross-organizational alignment.
- Mentor teams, challenge assumptions, and lead architecture reviews across the platform department.
Requirements
Nice to have :
- Hands-on experience with automation systems (schedulers, workflow engines, configuration graphs, data pipelines).
- Strong product mindset: ability to think about end-to-end delivery, user experience, reliability, and long-term lifecycle.
- Experience delivering a hardware-backed product (accelerators, HPC nodes, scientific instruments) to external users.
Recruitment process
- Screening call with Doriane (30 min)
- Hiring Manager Interview (45 min)
- Technical Interview with the Team (60 min)
- Leadership Interview (30 min)
- Fit Interview (30 min)
Skills
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