Team Lead - Performance Optimization
Alice & Bob
Paris, France
About the role
The Platform department builds the software and computational infrastructure that powers Alice & Bob’s quantum computers. Our scope spans scientific software, cloud/GPU compute, simulation tools, and the orchestration systems required to design, calibrate, and operate our hardware.
The Performance Optimization team applies machine learning and optimization tools across the entire quantum chip lifecycle, from design to error correction. As Team Lead, you will challenge traditional methods to deliver scalable, production-ready calibration and control software.
Your Mission: Build and lead an interdisciplinary team of engineers, theorists, and ML experts to identify bottlenecks in our quantum control stack. You will prototype novel solutions, transform them into fast, reliable production software, and integrate them directly into the critical path of our fault-tolerant operations.
Responsibilities
- Define the Performance Optimization team strategy by taking inputs from experts, leadership and other teams
- Oversee team projects, ensuring objectives match the company ambitions, integrate with the stacks of other teams, and are delivered on time in production
- Manage team resources and priorities, ensuring alignment with department goals
- Hire talented and complementary individuals to grow the team, following the department hiring plan
- Foster a supportive environment for team development and career growth
- Manage external research collaborations
- Represent the company at conferences and workshops focused on ML for quantum
Requirements
- 3+ years of experience in managing a research or engineering team delivering tools in a R&D environment
- Proven track record of leading a team that delivers on complex projects on time
- Strong organizational and time management skills
- Exceptional written and verbal communication skills in English
- Master’s degree in Machine Learning, Optimization, Quantum Computing or related fields (Computer Science, Applied Mathematics, Theoretical Physics)