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we are a global leader in quantum computing control systems. Through our pioneering hardware and software solutions with instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technology.
We're seeking an exceptional experimental Physicist who combines deep quantum physics expertise with strong software engineering capabilities and interpersonal skills. In this role, you'll focus on developing and implementing automated calibration solutions for several quantum computing partners while also serving as a quantum solutions expert for our European customer base. You'll work at the intersection of quantum physics and software engineering, translating complex calibration requirements into robust automation frameworks. This position offers unprecedented exposure to diverse qubit types and quantum architectures, enabling you to create groundbreaking calibration solutions while helping customers implement quantum computing experiments. Prior hands on experience on managing AMO set-ups and good understanding of the underlying physics is strongly encouraged.
Responsibilities
Design and implement automated calibration frameworks for quantum computing systems
Collaborate with the strategic partner's team to optimize calibration workflows
Lead technical implementation and integration of our company solutions for customers
Provide technical guidance on best practices for quantum control systems
Translate complex customer requirements into actionable technical solutions
Manage technical relationships with accounts throughout Europe
Contribute to customer education and training materials.

As an Algorithms Researcher , you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive Via's mass scale, complex, multi-dimensional automated dispatch.

What You'll Do:

Mathematically model the competing demands on Via's system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.