Advanced Navigation is the world’s most determined innovator in AI robotics and navigation technologies across land, air, sea and space applications. Founded on a culture of research and discovery, Advanced Navigation's mission is to be the catalyst of the autonomy revolution. Fields of expertise include artificial intelligence, underwater sonar, GNSS, radio frequency systems, inertial sensors, robotics, quantum sensors and photonics.
Today, Advanced Navigation is a supplier to some of the world's largest companies, including Airbus, Boeing, Google, Tesla, NASA, Apple, and General Motors. Discover it for yourself: https://youtu.be/F7uAqs1gtuk
About the role
Advanced Navigation enters a new phase of Growth and International expansion. The Software Platforms team is on a mission to develop software to ensure that our products are the most reliable, high performance navigation products in the world.
As a Senior Embedded Software Verification Engineer you will be instrumental in realising this ambition, developing software to solve real world problems with real world impact.
What you'll do
- Ensure the automated testing provides fast, reliable and valuable feedback to developers
- Understand our products and customer use cases to lead the creation of high-value tests
- Design, implement and maintain software simulation and emulation environments and models to enable automated embedded software verification, including scenario, edge-case and fault-injection testing.
- Integrate simulation and emulators with Pytest, GitLab CI and HITL, validating simulation behaviour against real hardware and continuously improving simulation fidelity and test coverage.
- Develop, review and maintain automated tests (in Python)
- Establish then enhance automated Hardware-in-the-Loop (HITL) tests with INS hardware
- Evolve and improve GitLab CI pipelines. Ensure pipelines are efficient and runners are operating well.
- Triage test failures, and own “keeping it green”.
- Implement requirements tracing and monitor code coverage
- Write verification reports and document test results and findings.
- Communicate and report on test results - make results visible.
- Ensure that during planning and development, test cases are established
Qualifications
- Bachelor’s degree in Mechatronics Engineering, Computer Science, or a related technical field.
- 5+ years of experience in hardware and software testing, with a focus on automated testing methodologies and CI.
- A track record of turning high level discussions into detailed, personal work plans and reporting progress to management
- A proactive self-starting approach with a track record of initiative, personal responsibility, ownership of work and reputation for making things happen
- Be highly motivated with an energetic, responsive and decisive disposition;
- Proven high standard of attention to detail, time management and “follow-through”.
- Experience with Hardware-in-the-Loop (HITL) testing and integrating hardware with test systems.
- Extensive experience with continuous integration (CI) systems
- Experience interfacing with automated test equipment, such as robot arms and rotary stages.
- Experience with Inertial Navigation Systems (INS) or related technologies (e.g., GNSS, sensors).
- Experience designing, developing and maintaining embedded software simulation and emulation environments using tools such as QEMU, Renode, Simics, or equivalent, for automated verification and testing.
- Excellent analytical, problem-solving, and debugging skills.
- Knowledge of FPGA testing methodologies and tools (e.g., cocotb).
- Strong programming skills in Python, with experience in developing test frameworks and scripts.
- Excellent written and verbal communication skills, and strong attention to detail.
- Possess strategic thinking and strong abilities to distil large amounts of information quickly and accurately
- Solid understanding of test principles, methodologies, and the software/hardware testing lifecycle, with emphasis on CI practices.
- Strong communication and collaboration abilities.
- Nice to have
- Strong mathematics and physics background
- Control system proficiency
- MATLAB proficiency
- Python proficiency
Skills Required
- Bachelor's degree in Mechatronics Engineering, Computer Science, or a related technical field
- 5+ years of experience in hardware and software testing, focused on automated testing and continuous integration
- Experience with Hardware-in-the-Loop testing and integrating hardware with test systems
- Extensive experience with continuous integration systems
- Experience interfacing with automated test equipment, such as robot arms and rotary stages
- Experience with Inertial Navigation Systems, GNSS, sensors, or related technologies
- Experience designing, developing, and maintaining embedded software simulation and emulation environments using QEMU, Renode, Simics, or equivalent
- Knowledge of FPGA testing methodologies and tools such as cocotb
- Strong Python programming skills and experience developing test frameworks and scripts
- Understanding of test principles, methodologies, and the software and hardware testing lifecycle, with emphasis on continuous integration
- Excellent analytical, problem-solving, and debugging skills
- Strong written, verbal, communication, and collaboration skills
- Strong attention to detail, time management, and follow-through
- Ability to create personal work plans, take ownership, and report progress to management
- Strong mathematics and physics background
- Control system proficiency
- MATLAB proficiency
- Python proficiency
What We Do
Advanced Navigation is a privately owned Australian company that specialises in the development of navigation technologies and robotics. The company has a focus on generating products of the highest quality standard, both in terms of hardware and software. The company's founders came from a background in mission critical robotics built to military specifications and this can be seen through Advanced Navigation's products. Advanced Navigation's engineers have specialised expertise across a broad range of fields including sensors, GNSS, inertial navigation, RF technologies, acoustics, robotics, AI and algorithms.
