Data Engineer - Localization Systems

About Forterra Forterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions. About the role We are seeking a highly motivated and detail-oriented Data Engineer to help design and develop an automated playback and analysis system for our GNSS / INS (Global Navigation Satellite System / Inertial Navigation System) solutions. In this role, you will work to build and improve a robust system that supports automated regression testing, performance analysis, and continuous validation of both our hardware and software systems. This position is key to ensuring that our GNSS / INS solutions maintain top-tier performance, reliability, and accuracy in real-world applications. What you'll do Design and implement a playback system that can simulate GNSS / INS sensor data (including real-world and synthetic data) for automated testing and analysis. Develop and maintain an automated regression testing framework to evaluate the performance of GNSS / INS hardware and software across multiple configurations and scenarios. Create tools for data analysis, visualization, and reporting to evaluate system performance metrics, including accuracy, robustness, and response to edge cases. Integrate the playback system with the existing GNSS / INS solutions to allow for seamless testing and validation of algorithms, sensor fusion, and navigation systems. Collaborate with software and hardware teams to ensure the playback and testing systems are aligned with both the hardware capabilities and software requirements. Continuously improve the test coverage by identifying critical areas for testing and ensuring comprehensive regression testing across new system versions. Develop performance dashboards and generate automated reports to highlight trends, anomalies, and potential issues in the hardware and software systems. Support the debugging and analysis of test failures, working with the engineering team to diagnose and resolve issues. Maintain a continuous integration / continuous deployment (CI / CD) pipeline for automated testing of software releases. Qualifications Experience with playback and simulation systems, particularly in the context of GNSS, INS, or similar sensor systems. Strong programming skills in Python, C++, or similar languages for developing automated testing and 1 data analysis tools. Experience in building automated regression testing systems, including integration with CI / CD pipelines. Familiarity with GNSS / INS data formats, sensor fusion, and navigation algorithms. Experience with data analysis techniques, visualization tools, and reporting software (e.g., Matplotlib, Pandas, Excel, Tableau). Strong understanding of software testing methodologies and the ability to design effective test suites. Proficiency in working with simulation and modeling environments (e.g., MATLAB, Simulink, or equivalent tools). Excellent problem-solving and debugging skills with the ability to analyze large datasets and identify issues quickly. Strong communication skills, able to work effectively within a team and across cross-functional departments. Preferred Qualifications Experience with GNSS / INS systems, particularly in navigation and sensor fusion algorithms. Familiarity with real-time systems and hardware-in-the-loop (HIL) testing. Experience with version control systems such as Git. Knowledge of continuous integration tools (e.g., GitLab) and best practices for automating testing and deployment. Experience working with cloud-based systems or distributed computing for large-scale data analysis. Understanding of GNSS signals, error modeling, and sensor calibration. Knowledge of machine learning techniques for data analysis and anomaly detection. Education & Experience Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field. 2+ years of relevant Engineering experience. US Salary Range  $110,000—$180,000   The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra’s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including : Premium Healthcare Benefits : Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.   Basic Life / AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a winter break in December. Competitive paid time off (PTO) offering 20 days accrued per year. A minimum of 7 weeks fully paid parental leave for birth / adoption.  A $9k annual tuition reimbursement or professional development stipend. Fully stocked beverage refrigerators with all the Celsius your little heart desires.  401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%. Your recruiter will be able to share more information about our salary and benefits offering during the hiring process.   Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in accordance with local, state, and federal laws. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applications will receive equal consideration for employment.