Perception Engineer

Saronic Technologies is a leader in revolutionizing defense autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations for the Department of Defense (DoD) through autonomous and intelligent platforms.
Job Overview
We are seeking a Perception Software Engineer to play a pivotal role in designing, developing, and implementing perception systems for our autonomous surface vessels. You will work on the forefront of technology, applying your expertise in computer vision, machine learning, and sensor fusion to create robust and reliable perception solutions that enable our ASVs to navigate and make critical decisions in complex maritime environments.
Responsibilities

• Algorithm Development: Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding
• Sensor Fusion: Integrate data from a variety of sensors, such as cameras, LiDAR, radar, and GPS, to provide a comprehensive perception system for ASVs
• Real-time Processing: Implement real-time data processing pipelines to ensure rapid and accurate perception feedback to the ASV's control system
• MLops: Collaborate with data annotation teams to create labeled datasets for training and validation of perception algorithms
• Performance Optimization: Optimize perception algorithms for efficient use of computational resources, ensuring they meet the real-time requirements of autonomous navigation
• Testing and Validation: Conduct extensive testing and validation of perception systems in simulated and real-world maritime environments, identifying and addressing issues as they arise
• Documentation: Maintain comprehensive documentation of perception software, including code, algorithms, and test results
• Collaboration: Work closely with multidisciplinary teams, including hardware engineers, control engineers, and navigation experts, to integrate perception systems into the ASVs
• Stay Current: Keep abreast of the latest advancements in computer vision, sensor technologies, and machine learning to continually improve and adapt perception systems

Qualifications

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
• Proven experience in computer vision, machine learning, and sensor fusion for autonomous systems
• Proficiency in programming languages such as Python, C++, and CUDA
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Basic proficiency in Rust
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment
• Excellent communication skills to collaborate effectively with cross-functional teams
• Experience with maritime or autonomous vehicle projects is a plus

Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.