Sensor Fusion Engineer

As a Sensor Fusion Engineer at Armaments Research Company (ARC), you will develop and refine sensor fusion algorithms like the Extended Kalman Filter and complementary filters. Your responsibilities will include modeling sensor characteristics, implementing calibration procedures, analyzing raw IMU data, and collaborating with embedded software engineers to deploy fusion algorithms. You’ll also document algorithm design and conduct experiments to validate orientation performance.

To apply for the Sensor Fusion Engineer position at Armaments Research Company (ARC), you should possess a Bachelor’s or Master’s degree in Electrical Engineering, Robotics, Physics, Computer Engineering, or a related field. Additionally, experience in Kalman filters and a strong understanding of 3D coordinate systems are essential. Familiarity with programming tools like Python or MATLAB will also strengthen your application.

The Sensor Fusion Engineer role at Armaments Research Company (ARC) directly contributes to battlefield logistics by developing algorithms that enhance the accuracy of orientation data from various sensors. This real-time data plays a crucial role in providing battlefield situational awareness, allowing for better decision-making and increased safety for personnel in the field.

At Armaments Research Company (ARC), a Sensor Fusion Engineer has the potential for various career advancements. Working in a startup environment allows you to explore roles in project management, system architecting, or specialized technical positions focusing on IoT technologies. With opportunities to expand your skills beyond core responsibilities, you can grow into leadership roles or become an expert in cutting-edge sensor technologies over time.

Armaments Research Company (ARC) offers several benefits for its Sensor Fusion Engineer employees, including equity options, a 401k plan, and employer-paid medical, dental, and vision coverage. Employees also enjoy a generous paid holiday schedule and a flexible PTO policy, ensuring a healthy work-life balance.

Discuss your practical experiences with Kalman filters, particularly Extended Kalman Filters and Unscented Kalman Filters. Mention projects where you've implemented these algorithms in real-time applications, including specific challenges you faced and how you solved them.

In your response, provide an overview of the theoretical foundations behind sensor noise and bias drift. Discuss any prior experiences where you characterized sensor data, detailing the methods and tools you used for modeling and compensating for these issues.

Talk about your understanding of soft-iron and hard-iron distortions in magnetometer data. Provide specific techniques you’ve employed to calibrate and improve magnetometer performance to ensure accurate data capture.

Share specific instances where you have used Python or MATLAB for data analysis or algorithm development. Highlight key projects where these tools enabled you to visualize sensor data or validate algorithms effectively.

Explain your systematic approach to designing experiments, including defining success criteria, gathering data, and analyzing results. Use examples from previous work to demonstrate how you validated algorithms in varied environments.

Reflect on potential challenges like real-time constraints, data synchronization issues, or implementing algorithms on resource-limited devices. Provide thoughts on how you would approach overcoming these challenges and ensure reliable performance.

Discuss your experience working in cross-disciplinary teams, focusing on how you would communicate algorithm requirements and validate their integration into firmware. Emphasize the importance of collaboration in solving engineering challenges.

Highlight the importance of computational efficiency, memory constraints, and real-time processing needs when implementing algorithms. Discuss how these factors influence the design and deployment of the system.

Detail any experiences you have with specific embedded microcontrollers, your role in the projects you worked on, and the outcomes achieved. Your response can include design, implementation, or optimization work.

Reflect your passion for the role at ARM. Discuss how ARC’s mission aligns with your values and career goals, and how you can leverage your skills to contribute to the team's innovative projects.