V&V and Operations Tools Developer

IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.

Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.  

We are seeking a V&V and Operations Tools Developer to design, build, and maintain the critical software infrastructure and tooling required for the early design verification, system deliveries validation, and operational monitoring of our flight systems. This role is fundamental to achieving mission assurance by automating testing, supporting complex physical testbeds involving external sensors and actuators, and facilitating early hardware/software integration.

• →Develop high-quality, robust automation scripts and tools to support early hardware integration testing and interface verification.
• →Apply Object- Oriented Programming(OOP) principles to design scalable and reusable software libraries for hardware interface communication and complex data acquisition from the testbed.
• →Design and implement automated test sequences for health integration and performance verification of flight systems, analyzing feedback loops, sensor readings, and actuator responsiveness.
• →Manage and configure the physical testbed infrastructure, including integrating and calibrating external sensors, actuators, and instrumentation required for comprehensive system testing.
• →Develop and maintain the tools and framework necessary to execute Hardware-in-the-Loop (HIL) testing, including environment simulation, real-time data injection, and automated fault insertion.
• →Implement minimal services to facilitate data handling, instrument control, and integration between various V&V tools in a distributed physical testbed environment.
• →Utilize Docker to containerize development, testing, and V&V environments, ensuring consistency and reproducibility across the organization.
• →Administer and maintain Linux operating systems that host the V&V testbeds, simulation platforms, and operational tools.
• →Configure and troubleshoot networking protocols and services (TCP/IP, UDP, etc.) to ensure reliable connectivity between test equipment, flight hardware interfaces, and data centers.

• Systemic Mindset: Ability to view the flight system and its V&V testbed not as separate components, but as an integrated system, understanding dependencies, interfaces, and optimizing end-to-end performance.
• Python: Advanced proficiency for tool development and scripting. 
• Strong understanding and application of Object-Oriented Programming (OOP).
• Linux: Experience as user, basic administration for troubleshooting in various distributions.
• Bash scripting for system automation and pipeline execution.
• Experience with Docker for containerizing environments.
• Minimal experience designing or interacting with REST microservice.

• Experience with Observability Stacks (e.g., ELK/Influx/Grafana) for monitoring testbed health, data logging, and visualizing operational metrics.
• Prior experience in the validation of control software or safety-critical systems.
• Familiarity with data analysis libraries such as Pandas and plotting libraries like Matplotlib for analyzing sensor and performance data.
• Understanding of Distributed Systems architecture and challenges.
• Documentation Automation: Experience integrating documentation tools like Sphinx, Asciidoc or Markdown.

If you are interested in being a part of our team and mission, we encourage you to apply!