PlusAI
Autonomous Trucks
ResearchEngineerIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“Research Engineer Intern at PlusAI. Skills: Computer vision, Deep learning, Software development. Reconstruction of static urban driving scenes. Auto labeling of static urban driving scenes”
What You'll Achieve.
Advance self-driving technology; Deliver significant impact to the company; Improve generic-object detection
Industry & Context.
What They're Looking For.
Must Have
Software design and development experience in Python, Software design and development experience in C++, Experience in 3D computer vision
Nice to Have
Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, ICRA, IROS, etc. )
What You'll Do.
Reconstruction of static urban driving scenes
Auto labeling of static urban driving scenes
Auto mapping of static urban driving scenes
Design and implement scalable auto labeling/mapping process
Build and validate a closed-loop "long-tail data engine"
Establish a measurable long-tail evaluation benchmark
Build a prototype of the data engine
How You'll Work.
Team & Collaboration
Collaborate with a diverse team of researchers and engineers
Full Job Description
## Description 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. ## Responsibilities Build and validate a closed-loop "long-tail data engine" that improves generic-object detection on a curated long-tail benchmark. The project will first establish a measurable long-tail evaluation benchmark from existing logs. Then a prototype of the data engine will be built using a combination of simulation tools, automated data mining, and foundation models. ## Required Skills Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience. Software design and development experience in Python and C++ Experience in 3D computer vision. ## Preferred Skills Publication record in relevant venues (CVPR, ICLR,
Applying for this Research Engineer Intern role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about PlusAI?
Real rants from real employees. Read before you apply.