We are looking for a highly experienced Quantum Control Systems Engineer (Application Validation Team) who embodies ambition and positivity. Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
As a Quantum Control Systems Engineer on the Application Validation Team, you will be responsible for validating the software and hardware systems that drive quantum computing operations, ensuring that programs ranging from calibrations to error correction procedures perform as expected on all our quantum controller hardware. This includes designing, implementing, and testing scalable software and hardware frameworks across various qubit types, as well as developing tools that support the validation and execution of control software across different configurations and execution platforms.
Your role will also involve developing a robust software infrastructure that automates the validation process, integrates with real hardware systems, and supports continuous integration (CI) and continuous deployment (CD) pipelines.
This is an exciting opportunity to work at the forefront of quantum computing technology while ensuring the performance, reliability, and scalability of cutting-edge control systems.
Join us in this exciting journey to redefine the future of quantum computing.
Responsibilities:
Quantum Computing Routine Validation: Validate quantum computing programs on our quantum controllers, including calibration procedures, error correction routines, and other algorithms, ensuring they meet the required performance standards.
Scalable Routine Design: Design and implement scalable quantum routines in Qua and other quantum computing languages, optimizing various qubit types and quantum computing architectures.
Framework Development: Develop tools and frameworks that support validation, ensuring scalability and integration into our hardware and software development process.
Automated Testing and CI/CD Integration: Build and maintain automated testing systems, incorporating CI/CD processes to ensure seamless integration and validation of quantum control software on real hardware.
Data Analysis: Analyze measurement data from quantum controllers, using this data to improve implementations across the whole software stack.
Cross-Functional Collaboration: Work closely with quantum physicists, customers software engineers, and hardware engineers to troubleshoot issues, refine quantum routines, and ensure the overall system's performance.

The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.

The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.

You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.

You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

Responsibilities
Design, develop, and maintain high-scale backend services and APIs.
Build features that identify and prevent cloud misconfigurations and security risks.
Write clean, maintainable, and testable code with high engineering standards.
Participate in system design and architecture discussions (scalability, reliability, performance).
Collaborate with Product, Research, and other engineering teams to define and implement end-to-end solutions.
Optimize performance and improve system reliability, monitoring, and observability.
Take ownership over services in production, including troubleshooting and incident resolution.
Contribute to engineering best practices: code reviews, technical documentation, CI/CD improvements.
Support and mentor other engineers, helping grow the teams technical excellence.