Responsibilities
- Develop pulse-shaping and feedback stabilization schemes to maximize gate fidelity
- Apply control and stabilization methods to the cat-qubit platform
- Build numerical models and simulations to test control strategies at scale
- Validate performance and robustness before deployment on hardware
- Work with experimentalists and technical teams to implement control solutions
- Support testing and iteration of control strategies on the platform through to full delivery in production
- Provide a clear view of the state of the art for qubit control
- Strengthen the mathematical foundations underpinning control design
Design and optimize quantum control strategies
Model and validate control solutions in simulation
Collaborate on hardware implementation
Advance the company's control-theory knowledge and toolkit
Requirements
- 4+ years of research experience in control theory or a related domain, post-PhD in applied mathematics, control theory, physics, or a closely related field
- Strong foundation in mathematical control theory (model-based and model-free optimal control, controllability, and reinforcement learning)
- Experience with control of dynamical systems
- Numerical modeling and simulation skills, with experience in scientific computing
- Familiarity with data-driven control methods and reachability analysis
- Ability to translate theoretical methods into applied, measurable engineering outcomes
- Strong collaboration skills across research, software, and hardware teams
- Rigorous and autonomous, with the ability to communicate complex results clearly
- Professional-level English proficiency, both written and spoken
Recruitment Process
- Screening Call with Grace, Talent Acquisition Specialist (30 min)
- Hiring Manager Interview with Gaspard (45 min)
- Technical Interview with the Team (60 min)
- Leadership Team Interview (30 min)
- Fit Interview (45 min)
- Reference check
Skills Required
- 4+ years of research experience in control theory or a related domain, post-PhD
- PhD in applied mathematics, control theory, physics, or a closely related field
- Strong foundation in mathematical control theory, including model-based and model-free optimal control, controllability, and reinforcement learning
- Experience with control of dynamical systems
- Numerical modeling and simulation skills with experience in scientific computing
- Familiarity with data-driven control methods and reachability analysis
- Ability to translate theoretical methods into applied, measurable engineering outcomes
- Strong collaboration skills across research, software, and hardware teams
- Rigorous and autonomous working style
- Ability to communicate complex results clearly
- Professional-level written and spoken English proficiency
What We Do
Founded in 2020, Alice & Bob secured $30 M funding in Series A. Today, we're recognized as one of the leaders in Quantum Computing. Our cat qubits are error corrected by design, reducing hardware requirements by up to 200 times compared to other platforms enabling fault-tolerant quantum computing at scale. Our headquarters is located in Paris, with offices in Boston, MA. We are 80+ smart and dedicated innovators, coming from 17+ countries and growing by the day. We are committed to one mission: build a useful quantum computer. Check open positions: bit.ly/joinusatAB







