Sensing Engineer (R2669)

JOB DESCRIPTION:

Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

As a Sensing Engineer, you will work on the GNC team to develop and optimize algorithms that process and fuse data from various sensors to provide accurate, reliable state estimates, enabling the V-BAT to operate autonomously in complex and contested environments. 

WHAT YOU'LL DO:

• Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors. 
• Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness. 
• Design and implement real-time sensor data processing pipelines. 
• Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of sensor algorithms. 
• Conduct experiments and field tests to validate the performance of sensor algorithms in real-world scenarios. 
• Stay updated with the latest advancements in sensor technologies and state estimation, applying them to our systems. 

REQUIRED QUALIFICATIONS:

• Minimum of 7 years of related experience with a Bachelor’s degree in Computer Science (or related field)
• Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc. 
• Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc. 
• Experience with C++ 11 or newer 
• Experience with Linux, command line tools, etc. 
• Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders. 
• Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment. 
• You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. 

PREFERRED QUALIFICATIONS:

• Knowledge of computer vision and machine learning techniques 
• Proficiency in optimising algorithms for compute-constrained systems 
• Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs) 
• Proven track record of transitioning from R&D to production 

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