Senior / Staff Perception Engineer

As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology.

- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.

- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.

- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.

- Champion engineering excellence, ensuring high-quality, well structured and tested code.

- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.

- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.

- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.

- Contribute to the publication of research findings in conferences as well as Waabi's blog.

- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.

- Experience working on applied research projects.

- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.

- Passion for taking research ideas and turning them into practical solutions for real-world applications.

- Solid understanding of computing fundamentals, including code efficiency.

- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.

- Comfortable working with large datasets for machine learning applications.

- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.

- Open-minded and collaborative team player with the willingness to help others.

- Experience and excitement in supporting a fast-paced high-growth environment.

- Passionate about being part of an organization solving self-driving technologies.

- Experience in shipping machine learning features/models into production.

- Previous experience in multimodal sensor fusion. 

- Previous experience in self-driving technology or related fields.

- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.

- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.

- Proficiency in Pytorch, Rust, C++ and/or CUDA.