Responsibilities
- Use complex map and perception sensor output to develop novel deep learning models for our planning stack.
- Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.
- Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
- Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Required Skills
- BS, MS, or PhD in Software, Robotics, or related field
- 4+ years of machine learning engineering experience for robotics applications
- Experience developing high-quality software from design and implementation to testing and deployment.
- Expertise with Python, willingness to do some C++ development as needed.
- Experience training with modern frameworks (e.g. PyTorch)
- A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
- Hands-on familiarity with cloud data ingestion pipelines
- Strong communication and collaborative skills
Salary Range
- $130,000 - $220,000 a year
Top Skills
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
