About the Team
Our team is at the forefront of developing state-of-the-art vision systems for autonomous vehicles. We are passionate about building intelligent algorithms that accurately interpret the world around the vehicle using advanced computer vision and deep learning. Collaborating closely with cross-functional teams, we work on complex challenges like object detection, tracking, and scene understanding. Our goal is to create reliable and efficient perception systems that ensure the safety and performance of our autonomous vehicles in diverse driving environments.
About the Role
As a Computer Vision Engineer, you will play a critical role in developing the perception system for our autonomous vehicles. You will design and implement cutting-edge algorithms for object recognition, classification, segmentation, and tracking. Your responsibilities will include conducting experiments to evaluate algorithm performance, optimizing models for real-time deployment, and collaborating with data engineers to build scalable data pipelines. This role requires a deep understanding of computer vision, machine learning, and software development, as well as a passion for tackling real-world problems in autonomous driving. Your contributions will directly impact the safety and reliability of our self-driving technology.
What You'll Do
- Development of the car perception system: Participate in the creation and improvement of perception systems for autonomous vehicles. Implement advanced computer vision models and algorithms to enhance the accuracy of classification and tracking.
- Experiments and metrics: Develop and conduct controlled experiments to evaluate algorithm performance under various operating conditions. Create metrics and benchmarks to quantitatively assess the effectiveness of perception systems.
- Optimization and performance: Optimize algorithms for real-time performance, considering computational constraints on onboard platforms.
- Data processing: Design and maintain scalable data pipelines for processing large volumes of visual information. Ensure data quality through procedures for data cleaning, annotation, and augmentation.
- Development of internal team tools: Automate data collection, processing, and storage processes to accelerate research and development efforts. Develop visualization tools for computer vision systems.
- CV Research: Stay updated with the latest scientific publications and trends in computer vision and deep learning. Prototype and test new models and algorithms to address complex challenges.
What You'll Need
- MS degree in computer science, engineering, or a related field (foreign equivalent acceptable).
- A minimum of 4 years of relevant work experience in IT or computer engineering or equivalent.
- 2+ years in autonomous vehicles and robotics development.
- Understanding of classic machine learning algorithms and deep neural networks.
- Expertise in areas of computer vision such as image processing, object recognition, segmentation, and tracking.
- Proficient programming skills in C++ (3+ years) and Python (3+ years).
- Basic knowledge of Docker, Kubernetes, Spark, AWS, and workflow orchestration tools (e.g., Argo Workflows).
- Experience working with databases like PostgreSQL or ClickHouse for data storage and management.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Excellent critical thinking and problem-solving abilities for complex technical challenges.
Nice to Have
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
