Senior Computer Vision Engineer - Perception Stack Development
Take the next step in your career with a cutting-edge technology company developing lifesaving systems. This organization creates software for advanced driver-assistance systems (ADAS) and pioneers the technology behind next-generation autonomous vehicles.
Your Role
We are seeking a highly skilled and motivated Senior Computer Vision Engineer to lead the development of a perception stack for a unique 3D sensor technology, including event cameras. You will be responsible for designing, implementing, and optimizing algorithms for object detection, tracking, and related tasks, with a focus on safety applications and low-latency requirements.
Your Responsibilities
- Design and implement data collection setups and procedures for gathering sensor data in real-world environments, ensuring sufficient diversity and coverage for training and validation.
- Develop tools and workflows for efficient annotation of collected data, including labeling objects, trajectories, and other relevant information for training and evaluation.
- Design and implement robust perception stack components to ensure reliable performance in safety-critical applications.
- Collaborate with multiple teams, including software and hardware engineers, to integrate the perception stack into an end-to-end system.
- Conduct performance analysis and optimization to meet stringent latency and accuracy requirements.
- Stay up to date with the latest advancements in computer vision, machine learning, and sensor technologies, applying them to enhance the perception stack.
Your Background
- Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, machine learning, deep learning, or robotics.
- Experience in the design and implementation of data collection setups and data pipelines.
- Minimum of 5 years of industry experience developing computer vision algorithms for real-world applications, preferably in the automotive or robotics domain.
- Proficiency in programming languages such as Python and C++, with experience using libraries like OpenCV, TensorFlow, or PyTorch.
- Experience training, testing models on GPUs, and deploying on edge devices such as Nvidia Jetson platforms.
- Solid understanding of fundamental computer vision concepts, including feature extraction, object detection, tracking, and recognition.
- Experience with 3D sensor technologies (e.g., event cameras, LiDAR, depth cameras) and point cloud processing.
- Familiarity with software development best practices, including CI/CD, version control, unit testing, and code optimization.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively.
- Effective communication skills with the ability to present technical concepts to both technical and non-technical stakeholders.
What You Need to Succeed
- Excellent analytical and problem-solving skills with a responsible and independent working style.
- A strong desire to learn, document, and adapt.
- The ability to present facts and understand trends effectively.
Do you want to be part of shaping the future of safety applications with cutting-edge computer vision technology? If you are passionate about building novel machine learning models and thrive in a dynamic, collaborative environment, we’d love to hear from you.