qubitsok.com

Cut Noise. Work Quantum.

About Jobs Salaries Latest Papers Post a Job Sign In

Back to Job Listings

Americas, United States, Huntsville

•

Posted 27 days ago

Software Integration Engineer

🏢 Q-CTRL

AI Summarised

Visit Website

Role Type

🛠️ Engineer / Developer

Role Focus

🏗️ Build Systems

Seniority

🌿 Experienced

Employer Type

🏢 Industry

This role seeks a Software Integration Engineer responsible for deploying and configuring Q-CTRL's quantum sensing and navigation software on UAS platforms. The engineer ensures that new software releases are correctly integrated, configured, and tested on real hardware in lab and field settings. They will work across engineering teams to verify full sensor stacks, diagnose issues during field trials, and establish robust deployment and release practices for hardware-in-the-loop systems.

Key Responsibilities

Own software deployment and configuration on UAS platforms, maintaining alignment with rapid HQ software releases.

Verify full sensor, driver, transport, and navigation stacks before lab testing and flight operations.

Serve as the on-site software expert during field trials to diagnose and resolve system-level software issues.

Retrieve, validate, and organize test and flight data for analysis by HQ software and science teams.

Contribute to improving deployment workflows, testing, and continuous integration/continuous delivery processes for hardware-integrated software.

Required Skills

Experience deploying and operating software on Linux based embedded, robotics, or UAS platforms.

Proficiency with systems programming languages such as C, C++, Rust, and Python.

Experience setting up and maintaining continuous integration systems.

Experience working with sensor drivers, middleware, and data transport layers.

Nice-to-have Skills

A Bachelor’s degree in Software Engineering or a related field.

Experience with numerical software or algorithm development, emphasizing inertial navigation, state estimation, data fusion, or optimization.

Familiarity with DevOps practices applied to hardware systems.

Ability to work effectively across software, hardware, systems, and research teams.

Experience in defence, aerospace, autonomy, robotics, or navigation systems.

Technology Tags

Navigation

The core product application is related to GPS-denied navigation systems.

Sensors Basics

The role is central to the Sensing Engineering team deploying quantum sensor technology.

Inertial Sensors

Experience with inertial navigation and state estimation, requiring knowledge of inertial sensors, is explicitly sought.

Rust

Proficiency in this specific systems programming language is required for the integration role.

Noise & benchmarking

The role involves verifying correct operation and establishing robust deployment and testing practices for fielded systems.

Control software

The engineer is responsible for owning the deployment and configuration of software on UAS platforms.

Optimisation

Experience in algorithm development emphasizing optimization, state estimation, and data fusion is required.

Source Job Description

About the team

The Sensing Engineering team at Q-CTRL transforms quantum research into deployable technologies that address real-world problems. We design, build, and field-validate an array of quantum sensors that support our key products, including Ironestone Opal - our solution for GPS-denied navigation.

You don’t need a background in quantum to make an impact here. We value strong engineering fundamentals, a product mindset, and a drive to solve the hardest engineering problems in quantum sensing today.

About the role

We are seeking a Software Integration Engineer to own the deployment, configuration, and operational readiness of Q-CTRL’s navigation and quantum sensing software on UAS platforms. This role is hands-on and execution focused, ensuring rapidly evolving software developed at HQ is correctly integrated, configured, tested, and run on real platforms in lab and field environments.

You will work closely with systems and hardware engineers, and HQ software teams to bring up full sensor and navigation stacks, verify correct operation prior to flight, and manage data flow for analysis. As Q-CTRL’s quantum sensing technology matures, you will help establish robust deployment, testing, and release practices for hardware-in-the-loop and fielded systems.

You will join a growing global engineering team, working as part of a small US-based group supporting defense and aerospace programs, and operating at the intersection of software, hardware, and field operations.

What you'll be doing:

Own software deployment and configuration on UAS platforms, ensuring alignment with fast-moving HQ software releases.

Bring up and verify full sensor, driver, transport, and navigation stacks prior to lab tests and flight operations.

Act as the on-site software authority during field trials, diagnosing and resolving software and system-level issues.

The role will involve intermittent domestic and international travel.

The role will involve regular liaison and communication across time zones, in particular with engineering teams at HQ in Sydney.

Retrieve, validate, and organize test and flight data for delivery to HQ software and science teams.

Work closely with systems, hardware, and HQ software engineers to close integration gaps.

Contribute to improving deployment workflows, testing, and CI/CD processes for hardware-integrated software.

Other duties within the Employee’s skills and experience, or with reasonable training.

Ideally you’ll have:

A Bachelor’s degree in Software Engineering or a related fieldExperience deploying and operating software on Linux based embedded, robotics, or UAS platforms.

Experience with numerical software and/or algorithm development, with an emphasis on inertial navigation, state estimation, data fusion, or optimization.

Proficiency with systems programming language such as C, C++, Rust and PythonExperience setting up and maintaining continuous integration systems

Familiarity with DevOps practices applied to hardware systems Experience working with sensor drivers, middleware, and data transport layers.

Ability to work effectively across software, hardware, systems and research teams.

Experience in defence, aerospace, autonomy, robotics, or navigation systems is highly desirable.