Research Engineer Intern

Plus 2

Santa Clara, US

On-siteCareer-pivot friendly

Who this role is best for

Best suited to junior candidates with expertise in computer vision and deep learning working in autonomous driving technology.

Best fit for

Junior engineers with hands-on experience in computer vision and deep learning.
— “design and implement state-of-the-art algorithms in making a scalable auto labeling/mapping process”
Individuals comfortable collaborating with diverse teams on core AI topics.
— “collaborate with a diverse team of researchers and engineers on core topics in computer vision, deep learning and optimization”

Things to consider

Internship focuses on delivering impact to autonomous driving industry.
— “delivering significant impact to the company and the autonomous driving industry”
Role involves working on scalable auto labeling processes.
— “making a scalable auto labeling/mapping process”

How to stand out

Showcase projects involving urban scene reconstruction in your portfolio.
— “reconstruction, auto labeling and auto mapping of the static urban driving scenes”
Highlight experience with state-of-the-art algorithms in computer vision.
— “design and implement state-of-the-art algorithms”
Demonstrate collaboration with multidisciplinary teams in past roles.
— “collaborate with a diverse team of researchers and engineers”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · IndividualLevel · Intern

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Design and implement state-of-the-art algorithms
Advance self-driving technology
Collaborate with researchers and engineers

Typical background

Computer scienceElectrical engineeringRobotics

Skills & requirements

Required

Computer VisionDeep LearningOptimizationAlgorithm DesignSoftware Development

Preferred

Autonomous VehiclesMappingLocalization

Stack & domain

Computer VisionDeep LearningOptimizationAutonomous TrucksSelf-driving TechnologyReconstructionAuto LabelingAuto MappingCollaborationProblem-solvingTeamworkCommunicationAutonomous VehiclesAIRobotics

About the role

Original posting from Plus 2 via Lever

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. 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.
We are seeking a Research Engineer Intern to join the Localization & Mapping team at Plus, focusing on the design, development and deployment of software to advance our self-driving technology. The primary focus of the internship is reconstruction, auto labeling and auto mapping of the static urban driving scenes. You'll collaborate with a diverse team of researchers and engineers on core topics in computer vision, deep learning and optimization. You'll design and implement state-of-the-art algorithms in making a scalable auto labeling/mapping process, delivering significant impact to the company and the autonomous driving industry.

Source: Plus 2 careers (Lever)