SENIOR SOFTWARE ENGINEER - PERCEPTION

Our client is a global automotive technology company ushering in a new era of vehicle safety and autonomy. For the past decade, Luminar has built an advanced hardware and software platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. From Volvo Cars and Mercedes-Benz for consumer vehicles and Daimler Trucks for commercial trucks, to tech partners NVIDIA and Intel’s Mobileye, our client is poised to be the first automotive technology company to enable next-generation safety and autonomous capabilities for production vehicles.We are seeking a talented Senior Perception Engineer to join our team of skilled engineers in developing automotive-grade perception software for proactive safety features and advancing autonomy levels. Your expertise will be instrumental in leveraging our client's Lidar platform to implement core perception algorithms and enhance software capabilities. Our client's vision is to make autonomous transportation safe and ubiquitous. Far too many lives are lost in vehicle accidents each year. Because when real people’s lives are at stake, driving safely 99% of the time is not good enough. Come join the team of talented engineers and managers to realize this mission.Minimum Qualifications5+ years of proficiency in Modern C++3+ years of experience in machine learning, computer vision, perception or related fields, preferably in the automotive industry.BS or MS in Computer Science and Engineering, or a related field.Recent automotive industry experience and proven track record of shipping automotive-grade, mature products to real customersStrong background in developing Machine Learning algorithms, with a focus on 3DExperience with end-to-end learning and deploying ML algorithms into real-world environments.Proven ability to produce high-quality code, documentation, and deliver on long-term goals.Excellent communication skills and the ability to collaborate effectively within a team.Excellent mathematical reasoning skills.English upper-intermediate+Preferred QualificationsExperience with Lidar.Experience with computer vision algorithms, machine perception, image and signal processing.Experience in 3D computational geometry, strong background in linear algebra and statistics.Experience with parallel programming (CUDA or OpenCL), Python, OpenCV.Familiarity with industry compliance standards such as AutoSAR.Familiarity with ASPICE compliance and adherence to normative development models and engineering practices.High-energy personality, with a strong and demonstrable work ethic.Demonstrate out-of-box thinking to develop creative solutions to challenging problems under extreme time pressure.Responsibilities:1. Develop and implement core perception algorithms: Utilize your proficiency in C++ to create and refine algorithms for point cloud denoising, sensor degradation, and weather mitigation. Ensure compliance with industry standards such as AutoSAR.2. Process development and refinement: Drive the development and refinement of end-to-end machine learning processes, focusing on evaluating performance throughout the path to production. Identify opportunities to enhance and expedite the training and evaluation pipeline.3. Integration, deployment, and testing: Collaborate with the team to seamlessly integrate perception algorithms into vehicles, ensuring smooth deployment, rigorous testing, and effective demonstration. Uphold high engineering standards by producing quality code, documentation, and conducting long-term measurement or monitoring.4. Compliance with engineering practices: Work within an ASPICE compliant organization, adhering to normative development models and engineering practices. Embrace an agile software engineering environment, utilizing modern tools and practices to optimize efficiency and effectiveness.5. Contribution to module requirements and architecture: Provide valuable input to module requirements, architecture, and execution pipeline designs. Your insights and expertise will contribute to the overall success of the project.