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About the Role
We are seeking a Senior Navigation Scientist to enhance navigation performance in GPS-denied environments by leveraging Q-CTRL's quantum sensors. This role involves developing robust navigation algorithms, signal processing, automation, and data analytics to extract maximum value from quantum sensors and address challenges in maritime and aeronautical positioning.
Responsibilities
- Be part of an established and growing team focused on quantum sensing for a variety of industry sectors such as aerospace, defence, geophysical exploration and Earth observation
- Develop new navigation algorithms, sensor fusion strategies, and modeling capability for different navigation scenarios, including those involving unaided dead reckoning and position fixing via gravitational and magnetic map-matching
- Plan, participate in, and analyse data from field trials on maritime and airborne platforms to test, validate, and refine our navigation technology in real-world conditions
- Translate quantum sensor performance into capabilities that solve pressing challenges for current and prospective navigation end-users and customers
- Identify quantum sensor requirements and concepts of operation for a given navigation application
- Develop, document, and review high-quality software using Python
- Share insights and results with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets
- Liaise as needed with academic and industry partners to perform duties and support new business and product development
Requirements
- A PhD (or equivalent industry experience) in physics, engineering, or a closely related discipline
- Experience in navigation theory and numerical navigation modelling (e.g. navigation system modelling, navigation signal processing, navigation fusion for alternative navigation systems, quantum sensing for navigation)
- Experience working in an interdisciplinary context with R&D scientists and engineers
- A strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry
Skills
- Python
- Modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods)
- Robotics experience relevant to navigation, such as SLAM, factor-graph estimation, or sensor integration and field trials on autonomous platforms
- Machine learning approaches to state estimation, such as deep state-space models, hybrid model-based/learned filters or sequence models
- Version control e.g. Git
Location
- Sydney
- Los Angeles
- San Francisco
- Huntsville
- Berlin
- Oxford
Work Type
- Full-time
Experience Level
- Senior
Education Level
- PhD
Benefits
- Flexibility
- Equity potential
- Competitive benefits
About the Company
- Q-CTRL is the global leader in AI-powered quantum control infrastructure software.
- We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact.
- Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Huntsville, Berlin, and Oxford.
- Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we’re hiring talent to help scale every part of the business.
- We work quickly to turn cutting-edge science into deployable technology.
- In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company.
- Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry.
- At Q-CTRL, we prioritize outcomes over hours.