Full-Time
Perception Engineer
Posted on 4/23/2024
Develops AI-driven unmanned surface vehicles
AI & Machine Learning
Hardware
Aerospace
Mid
Austin, TX, USA
Required Skills
Python
Tensorflow
CUDA
Data Structures & Algorithms
Pytorch
Computer Vision
Data Analysis
Requirements
- 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
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
Saronic specializes in developing advanced unmanned surface vehicles that integrate top-tier hardware, software, and artificial intelligence, delivering a scalable, fully integrated platform for maritime security and domain awareness. Their product utilizes cutting-edge technologies, including advanced hardware, software, and artificial intelligence, to provide comprehensive solutions for maritime security.
Company Stage
Series A
Total Funding
$70M
Headquarters
Sunset Valley, Texas
Founded
2022
Growth & Insights
Headcount