Research Engineer

Key Skills

Bioconductor, C++, Computer Vision (CV), Kali Linux, LiDAR, Python Programming, PyTorch, SLA

Job Description

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. 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 open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Roles and Responsibilities

• Provide hardware and software support on PlusAI’s full-stack, self-driving technology for large-scale, autonomous commercial fleets.
• Perform research and contribute to how the PlusAI autonomous system achieves higher levels of autonomy through machine learning engineering.
• Responsible for supporting the company in designing and building end-to-end systems, algorithms, and software for constructing autonomous vehicles.
• Develop, implement, and test algorithms and software for mapping & localization system based on a multi-sensor fusion approach using global positioning system (GPS), inertial measurement units (IMU), cameras, and light detection and ranging (LiDAR) for self-driving trucks.
• Research and construct machine learning-based models for enabling self-driving vehicles to perceive and understand the surrounding environment.
• Utilize knowledge of commonly used computer vision, machine learning frameworks and libraries, and software development tools to collaborate with teams of different functionalities and integrate various components (perception, planning, prediction, control, simulation, and data infrastructure) into a running system.
• Review and analyze complex system requirements, and translate detailed designs into various computer programming languages, such as C++ and Python.
• Develop, execute, and test mapping & localization algorithms, such as simultaneous localization and mapping (SLAM), point cloud algorithm [including iterative closest point (ICP)], and Kalman filtering.
• Research and implement state-of-the-art techniques for object-detection, lane-tracking, image segmentation, and other computer vision tasks to build fast, accurate, and reliable systems for enabling tracking and control in autonomous vehicles.
• Continuously measure and improve the performance metrics of the mapping & localization system based on data collected by company and partner fleets.
• Use good oral and written communication skills to collaborate with the operations team to review progress and discuss requirements regarding data collection, preprocessing, labeling, testing, and analysis.

Requirements

• Master’s degree in Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or related field.

• Must have experience with the following: (Experience may be acquired during graduate studies/research.)
• Conducting Research
• C++ and Python
• Machine Learning
• Computer Vision
• Inertial Measurement Units (IMU)
• Cameras
• Light Detection and Ranging (LiDAR) and Point Cloud Algorithm (including ICP)
• Simultaneous Localization and Mapping (SLAM)
• Kalman Filtering

• Must have good oral and written communication skills.

*Note: Work is also performed at the company office in Fremont, CA (41320 Boyce Road, Fremont, CA 94538).

$140,000 - $165,000 a year

Exact compensation may vary based on skills and experience.

Your opportunities joining Plus

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.