PlusAI is hiring a Senior Research Engineer

About Plus

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.

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.
• Utilize knowledge of commonly used computer vision, machine learning, deep learning frameworks and libraries (OpenCV, Tensorflow, PyTorch), and software development tools to collaborate with teams of different functionalities and integrate various components (perception, planning, control etc.) into a running system.
• Research and construct machine learning or deep learning-based models for enabling self-driving vehicles to perceive and understand the surrounding environment.
• Review and analyze complex system requirements, and translate detailed designs into various computer programming languages, such as Python.
• Design and develop perception and computer vision algorithms, and make improvements to the existing perception stack.
• 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.
• Develop and train new deep learning models that expand the capabilities of the system.
• Write algorithms to better represent the state of each obstacle, enabling the system to have a better understanding of the future behavior of the obstacle, and predict any sudden maneuvers such as cutins, takeovers etc.
• Research state-of-the-art techniques for model training and optimization, computer vision algorithm development, and writing object-oriented code in Python.
• Work closely with other engineering teams to resolve a wide range of driving scenarios, including requirements across the stack to develop safe vehicle behavior in nominal and challenging scenarios.
• Use good oral and written communication skills to collaborate and coordinate with other engineers and developers to review progress, and present reports to the head of engineering at major milestones.
• International and domestic travel to client sites and business conferences/meetings.

• Master’s degree in Computer Science/Engineering or related field, and 1 year of experience as a Computer/Software Engineer or related occupation. 

• Must have experience with the following (Experience may be acquired during graduate studies/research).
• Conducting Research
• Python
• Machine Learning 
• Computer Vision
• Deep Learning 
• OpenCV 
• Tensorflow
• PyTorch

• Must have good oral and written communication skills.
• International and domestic travel to client sites and business conferences/meetings (up to 10%).

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

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.