Explore your career by architecting innovative hardware solutions for advanced inference workloads. Collaborate with cross-functional teams to enhance performance and efficiency in state-of-the-art autonomous driving models.

Champion innovative ML solutions through experiment design, modeling, and result evaluation. Collaborate with a dynamic team to advance cutting-edge technologies in a hybrid internship setting, contributing to impactful research and development.

Join a team that's pioneering advancements in multimodal perception models. Engage in cutting-edge research, design innovative training methods, and conduct impactful experiments to enhance autonomous driving technologies and publish your findings.

Innovate data-driven evaluation methods for autonomous driving software, utilizing advanced statistics, algorithms, and machine learning to enhance performance measurement while collaborating with an interdisciplinary team and advocating code health standards.

Empower the evaluation of autonomous driving software by developing performance metrics using statistics, algorithms, and machine learning while collaborating with engineers and data scientists to optimize decision-making processes.