Perception Engineer
| Company | Saronic |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- Proficiency in programming languages such as Python, C++, and CUDA
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
- Understanding of various filters and their applications
- Basic proficiency in Rust
Responsibilities
- Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding
- Integrate data from a variety of sensors, such as cameras, LiDAR, radar, and GPS, to provide a comprehensive perception system for ASVs
- Implement real-time data processing pipelines to ensure rapid and accurate perception feedback to the ASV’s control system
- Collaborate with data annotation teams to create labeled datasets for training and validation of perception algorithms
- Optimize perception algorithms for efficient use of computational resources, ensuring they meet the real-time requirements of autonomous navigation
- Conduct extensive testing and validation of perception systems in simulated and real-world maritime environments, identifying and addressing issues as they arise
- Maintain comprehensive documentation of perception software, including code, algorithms, and test results
- Work closely with multidisciplinary teams, including hardware engineers, control engineers, and navigation experts, to integrate perception systems into the ASVs
- Keep abreast of the latest advancements in computer vision, sensor technologies, and machine learning to continually improve and adapt perception systems
Preferred Qualifications
- Experience with maritime or autonomous vehicle projects is a plus
- Experience with signals processing or sensor fusion is a plus
- Experience with low latency inference and tracking pipelines is a plus