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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.

Were looking for an inquisitive, detail-oriented Product Analyst to join our Platform Services data team. Youll play a key role in driving product development by collaborating with cross-functional teams and delivering actionable insights based on user behavior and product performance.

As a Product Analyst you will
Partner with product managers, developers, marketing, sales, and UX researchers to identify opportunities for improving product experience and trial conversion.
Analyze user behavior throughout the customer lifecycle from onboarding and engagement to feature adoption and retention.
Define KPIs and core product metrics; build scalable dashboards to support data-driven decisions.
Evaluate the performance of product features and trials, and identify areas for optimization.
Provide insights, onboarding improvements, and sales funnel refinement.
Communicate findings clearly with stakeholders using compelling data storytelling and visualizations.
Support data infrastructure by collaborating with data engineers to optimize data pipelines and ensure data reliability.

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:
Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.