.Job DescriptionAs an Applied Scientist within our ADAS/ADS unit, you will be at the forefront of translating recent scientific advancements and cutting-edge technologies into real-world applications and products. Your impact will encompass:Collaborating closely with a multidisciplinary team of engineers and data scientists to transform scientific breakthroughs into advanced AI software solutions.Utilizing your analytical skills to develop automated approaches that harness the full potential of data streams, optimizing the quality and efficiency of our mapping processes.Taking a leading role in designing and implementing advanced (AI enabled) systems that leverage multisensory data and multimodality models, with a specialized focus on autonomous driving and real-time map generation.Applying deep learning methodologies and machine learning algorithms to develop pioneering systems that empower the capabilities of our real-time map creation.Adapting and fine-tuning deep learning and machine learning models for seamless deployment on low-power embedded devices, ensuring unmatched performance and operational efficiency.Driving transformative changes by taking ownership of your responsibilities, contributing to the elevation of team performance and successful project outcomes.Demonstrating adaptability through embracing iterative development methodologies and addressing evolving technical challenges head-on.Leading the initiation of new projects, positioning yourself as a key technical influencer within the unit and departments, and guiding strategic technology decisions.Balancing intricate technical decisions with their broader business and operational impacts, making well-informed trade-offs to effectively meet the company's overarching objectives.Crafting code and designing structures that promote collaborative teamwork and facilitate enhanced productivity and engagement among team members.Facilitating the resolution of contentious technical discussions by building consensus and showcasing your adeptness at leading through influence.What you'll need:A PhD or MS degree in computer vision, machine learning, or a related field, complemented by multiple research publications in conferences or journals, or equivalent industry experience solving intricate AD and Mapping challenges.Profound expertise in various machine learning approaches and deep learning methodologies, allowing you to continually innovate and adapt in response to evolving technologies.Demonstrated experience in architecting sophisticated software solutions and deep learning frameworks, along with a flair for designing efficient deployment pipelines.An in-depth understanding of sensor data processing, sensor fusion, and computer vision, especially in working with LiDAR, RADAR, and camera inputs.Proficiency in map-related technologies such as SLAM, HD mapping, and geospatial data processing, reinforcing your specialization in our unique domain
