Position: Software Engineering Intern – Autonomous Systems
Location: San Jose, California, Milpitas, California or Los Angeles, California
Type: Internship
What You'll Be Doing:
Advanced Model Development: Design and implement advanced neural network models and techniques tailored for autonomous applications such as construction vehicles, delivery drones, and self-driving cars and agricultural machinery.Architecture Innovation: Critically review and enhance existing neural network hardware and software architectures. Engage in deep research to propose substantial advancements and optimizations.Silicon Validation: Employ Lola Vision Systems’ CortiSoft software development toolkit and our cutting-edge FPGA-based platforms to validate graphics processor functionality and performance against industry benchmarks.Leadership in Research: Initiate and publish groundbreaking research projects that contribute to both academic and industry-specific advancements.Collaborative Integration: Work in tandem with internal development teams and leading external researchers to ensure seamless integration of new technologies. Lead the technology transfer process to design groups for commercial deployment.Embedded Systems Focus: Develop and optimize algorithms for custom silicon embedded systems, enhancing performance and efficiency for real-time applications.About You:
Education: Advanced degree (M.S. or Ph.D.) in Computer Science, Electrical Engineering, or a related field.Experience: Minimum of 4 years in research or development with a focus on computer vision, deep learning, and embedded systems.Technical Skills: Expertise in C++, Python, PyTorch, ONNX, and Caffe. Strong background in developing and optimizing algorithms for embedded systems and custom silicon.Proven Decision Making: Demonstrated ability to deliver critical decisions and innovative solutions with limited information.Communication Excellence: Outstanding communication skills; capable of leading high-level technical discussions and presenting complex ideas with clarity and precision.Research Excellence: A robust portfolio of published work in prestigious conferences such as RSS, ICLR, IJRR, NeurIPS, demonstrating a significant impact on the field.Industry Experience: Previous experience in teams that have successfully deployed autonomous vehicles or similar advanced technologies in a commercial setting is preferred.Why Join Us?
Lola Vision Systems is at the forefront of autonomous and embedded systems technology. Managed by industry veterans with a proven track record of success, our team is dedicated to achieving excellence and pushing the boundaries of innovation. We offer a dynamic environment where expertise is nurtured, and ambitious projects are brought to fruition. Join us to be a part of a visionary team shaping the future of technology.