Machine Learning Engineer for Motion and Behavior Plannin... | Findjobs
Machine Learning Engineer for Motion and Behavior Planning
Tensor Auto
Location
🇺🇸 San Jose, United States
Type
full_time
Salary
Undisclosed
Posted
1mo ago
Job Description
Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you. We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company
benefits
program, subject to eligibility
requirements
. Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact. Tensor is a global leader in self-driving car technology, driven by our mission to "Democratize Autonomy" and accelerate the advent of fully driverless cars. Our cutting-edge self-driving cars are designed to tackle the most complex and dynamic traffic environments, from bustling city streets to ever-changing urban landscapes. In 2020, we became the second company to secure a fully driverless passenger vehicle permit in California — a key milestone in autonomy. With a world-class team of engineers and R&D centers across the U.S. and beyond, Tensor continues to innovate. Join us to shape the future! Work with brilliant minds on technology transforming transportation and make a lasting impact. Locations • San Jose, California, US (Salary Range: $75k—$300k USD) • Barcelona, Catalonia, Spain • Singapore • Dubai, UAE
Responsibilities
Develop ML models and algorithms for motion and behavior planning for autonomous vehicles.
More Machine Learning Engineer Roles in United States
Build ML pipelines that automate the entire ML lifecycle, including data extraction, model training, and evaluation.
Coordinate the training and release of multiple dependent models.
Build tools to benchmark and analyze GPU performance.
Qualifications
MS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience.
Strong in Python and/or C++ programming skills.
Experience in PyTorch/Tensorflow and its computation graph.
Experience with building large-scale ML pipelines.
Good communication and collaboration skills. Preferences
PhD in Computer Science, similar technical field of study, or equivalent practical experience.
Experience with developing ML based algorithms for prediction, motion planning or LLM/VLMs.
Experience with ML model compression, quantization, distillation.
Experience with GPU profiling, GPU scheduling.
2+ years of industrial experience. We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.