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.