---
title: 'Senior Scientist, Quantum Sensing (Modeling and Control) at Q-CTRL'
canonical: 'https://feeny.ai/job/senior-scientist-quantum-sensing-modeling-and-control-q-ctrl-sydney-qhh5h4xt93fq'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Scientist, Quantum Sensing (Modeling and Control) at Q-CTRL

- **Company:** Q-CTRL
- **Location:** Sydney, Australia
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.lever.co/q-ctrl/d98559d7-c8c7-4227-b627-c67cb773d110

## Job description

## About the team

Q-CTRL’s Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modeling, and modern Bayesian estimation and signal processing techniques.

The Quantum Sensing Research and Quantum Sensing R&D teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact.

## About the role

This opportunity will focus on developing next-generation, small-form-factor quantum magnetometers that are both exquisitely sensitive and able to operate reliably in harsh fielded environments. To do this, you will design novel quantum control schemes and software-layer controls for optically pumped atomic magnetometers. You will also implement advanced statistical filtering techniques allowing performance improvements in noisy operating environments. The algorithms, signal processing, and data analytics developed by you and the rest of the team will inform the design, build, and operation of our quantum sensors. In all cases, a major focus is on real-world performance in real-world environments.

What you'll be doing:

- Develop quantum control algorithms to improve the sensitivity and robustness of optically pumped magnetometers.
- Use statistical techniques such as Kalman and particle filters to improve sensitivity and remove noise.
- Perform time series analysis and develop platform and environmental noise compensation techniques using state-of-the-art digital signal processing and machine learning methods.
- Write simulations of atomic systems to explain and guide experiments.
- Develop, document, and review high-quality software using Python.
- Collaborate with your colleagues in the Quantum Sensing Team, the Quantum Sensing Division, and the company more broadly.
- Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts).
- Other duties within the Employee's skills and experience, or with reasonable training.

Ideally you'll have:

- A PhD (or equivalent industry experience) in Physics, Engineering or a closely related discipline
- Experience with high-precision magnetometery.
- Experience in the theory, numerical modelling, and/or optimisation of one or more of the following: atomic spin ensembles, quantum sensing in warm atomic vapours, pulse-level optimisation and quantum control techniques.
- Knowledge of statistical techniques such as Kalman and particle filtering, estimator theory.
- Experience in time and frequency digital signal processing, e.g. adaptive filtering, Kalman filtering, match filtering.
- Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development principles.

Bonus points if you have (but not a necessity):

- Expertise with Python programming language for scientific computing.
- Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams.
- Experience with version control e.g. Git with CI/CD pipelines.
- Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms.

## About Q-CTRL

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. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you’re ready to help shape the future of quantum, we’d love to hear from you!

Please be advised that our communications will only come from the @q-ctrl.com domain. All our active job postings are available on our company website.

To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.

## About Q-CTRL

## Company Overview
- **One-liner**: Q-CTRL builds AI-powered infrastructure software to make quantum technology useful today, delivering performance gains in quantum computing and quantum sensing for enterprise, government, and defense.
- **Entity Type**: Private (Privately held; $133M total funding across 12 rounds, including seed and venture rounds)
- **Headquarters**: Sydney, Australia
- **Founded**: 2017
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Quantum technology infrastructure software, AI-for-quantum, quantum computing and quantum sensing
- **Target customers**: Enterprise and government organizations, data center and HPC providers, defense and aerospace, learners and researchers (B2B, B2G)
- **Mission or purpose statement**: “We make quantum technology useful” – bridging the gap between quantum hardware and real-world applications through AI-driven control software.

## Products & Services
- **Boulder Opal**: AI-powered quantum computing infrastructure software that provides error suppression, automated calibration, performance management, and compilation tools to maximize qubit utility.
- **Ironstone Opal**: Quantum sensing solutions for GPS-denied navigation, delivering the first true quantum advantage in real-world navigation scenarios.
- **Educational & Workforce Tools**: Interactive learning platforms and professional toolkits for students, researchers, and hardware teams to upskill and accelerate quantum adoption.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue of $5M (LinkedIn estimate); total funding of $133M (as of latest rounds)
- **Notable Investors/Partners**: Horizons Ventures, Main Sequence Ventures, DCVC, HSG, IQT (led various rounds)
- **Growth Signals**: Headcount of 176 employees (+36.7% YoY); LinkedIn followers 30,064 (+40.3% yearly); global expansion to six offices (Sydney, Santa Monica, Huntsville, Oxford, San Francisco, Berlin); multiple open positions across engineering, research, product, and sales.

## Competitive Advantages
- Unique AI-for-quantum approach that directly addresses hardware error and instability – the toughest problems in quantum technology.
- Proven world records in quantum computer performance and first demonstration of quantum advantage in GPS-free navigation.
- Deep expertise in quantum control, compilation, and error correction, combined with proprietary infrastructure software that no competitor replicates.
- Strong government and defense relationships, with solutions tailored for the most demanding environments.

## Strategic Focus
- Scale adoption of quantum computing and sensing across enterprise and government by making the technology useful today.
- Continue to invest in AI-driven automation and compilation to lower barriers for non-experts.
- Expand into data center and HPC integration, providing pre-validated architectures for seamless quantum utility.
- Grow workforce and global footprint to meet increasing demand from defense, aerospace, and research sectors.

## Why Work Here
- **Culture highlights**: Multidisciplinary teams united by curiosity and ambition; collaborative environment focused on real-world impact; strong emphasis on personal development and career growth.
- **Remote/hybrid/office policy**: Hybrid model (e.g., roles in Los Angeles, San Francisco listed as hybrid); flexible workplace policies; offices in six cities across three continents.
- **Notable perks**: Highly competitive, innovative, and inclusive benefits; comprehensive personal development programs; streamlined interview process with technical discussions and cross-functional collaboration.
- **Engineering culture**: Work on cutting-edge quantum control, AI, and infrastructure software; teams span engineering, research, product, and design.
- **Employer rating**: 4.6/5.0 on LinkedIn (15 reviews), with 4.9 for work-life balance and culture, 4.6 for compensation, 4.7 for career opportunities.

## Sources
1. [q-ctrl.com](https://q-ctrl.com/) – Company overview and product descriptions
2. [q-ctrl.com/careers](https://q-ctrl.com/careers) – Careers page, culture, interview process, locations
3. [q-ctrl.com/about](https://q-ctrl.com/about) – About page, AI-for-quantum focus
4. [jobs.lever.co](https://jobs.lever.co/q-ctrl) – Open positions (Senior Software Engineer, Scientist, etc.)
5. [linkedin.com](https://www.linkedin.com/company/q-ctrl) – Company details, revenue, funding, headcount, reviews

## Other roles at Q-CTRL

- [Product Manager - Sensing](https://feeny.ai/job/product-manager-sensing-q-ctrl-sydney-pd7stsf5k98n) — Sydney, Australia
- [Director of US Government Engagement](https://feeny.ai/job/director-of-us-government-engagement-q-ctrl-washington-raqqdx0q8fx9) — Washington, DC
- [Staff Research Scientist — Quantum Algorithms & Fault-Tolerant Applications](https://feeny.ai/job/staff-research-scientist-quantum-algorithms-fault-tolerant-applications-q-ctrl-6nb5s7jyk4g9) — Los Angeles, CA
- [Senior Cloud Platform Engineer](https://feeny.ai/job/senior-cloud-platform-engineer-q-ctrl-los-angeles-94rsh6dmsjb3) — Los Angeles, CA
- [Business Development Executive, Quantum Sensing](https://feeny.ai/job/business-development-executive-quantum-sensing-q-ctrl-los-angeles-nshhtvvdw724) — Los Angeles, CA
- [Senior Research Scientist, Quantum Error Correction](https://feeny.ai/job/senior-research-scientist-quantum-error-correction-q-ctrl-los-angeles-d4mwrrfyh1t9) — Los Angeles, CA
- [Financial Accountant](https://feeny.ai/job/financial-accountant-q-ctrl-sydney-m0az4dd2aaqe) — Sydney, Australia
- [Global Tax Manager](https://feeny.ai/job/global-tax-manager-q-ctrl-sydney-7tyzq9w54epz) — Sydney, Australia
- [Staff Experimental Scientist](https://feeny.ai/job/staff-experimental-scientist-q-ctrl-sydney-72vn4wkm7ycv) — Sydney, Australia
- [Senior Embedded Software Engineer](https://feeny.ai/job/senior-embedded-software-engineer-q-ctrl-sydney-38qa5cv26wea) — Sydney, Australia