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Internship Positions at Honda Research Institute USA for the Spring/Summer 2022

How to Apply: Submit applications through our website (https://usa.honda-ri.com/careers)

* Candidates must have the legal right to work in the U.S.A.

Software Systems Engineering

–    Systems Research in Modeling of Computing Systems (Job Number: P21INT-01)

Robotics

–    Robotics Research Software Engineer [Motion Planning] (Job Number: P21INT-02)

–    Visuotactile Perception for Contact-Rich Robotic Manipulation (Job Number: P21INT-03)

–    Intention estimation for teleoperation (Job Number: P21INT-04)

–    Robotics/Mechatronics for New Type of ADAS (Job Number: P21INT-06)

–    Cooperative Control CAV Engineer (Job Number: P21INT-07)

–    AD/ADAS Research and Software Development Intern (Job Number: P21INT-08)

–    Robotic In-hand Manipulation (Job Number: P21INT-09)

–    Interactive Decision Making for Autonomous Robots (Job Number: P21INT-15)

Human-Computer Interaction

–    Computational Models for Human-Aware Systems (Job Number: P21INT-05)

–    Multimodal Signal Processing for Human State Estimation (Job Number: P21INT-17)

–    Human Behavior Modeling (Job Number: P21INT-18)

–    HMI (Job Number: P21INT-19)

–    Driver Intention (Job Number: P21INT-24)

Computer Vision

–    Vision and Language Navigation (Job Number: P21INT-20)

–    Human Behavior Prediction (Job Number: P21INT-21)

–    Human Activity Forecasting (Job Number: P21INT-22)

–    Visual SLAM (Job Number: P21INT-23)

Machine Learning/AI

–    Multi-Agent Robotics (Job Number: P21INT-13)

–    Behavior prediction of road users (Job Number: P21INT-14)

–    Interactive Decision Making for Autonomous Driving (Job Number: P21INT-16)

Research Scientist – Deep Learning for Computer Vision & Image Analytics @ Siemens

In this role as a Research Scientist, you will:

• Research, design, and implement algorithms in Deep Learning for Computer Vision and Image Analytics.
• Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis.
• Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
• Apply image and video analysis techniques such as deep learning to large-scale, real-world problems.
• Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components.
• Working with customers to understand algorithm requirements and deliver high-quality solutions.

Qualified candidates will have:

• Ph.D. in Computer Science, Electrical Engineering, or related discipline required. Strong background in Deep Learning.
• Research Scientists will have a min of 3 years of Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred. Staff Research Scientists will have a min of 6 years of experience in fields mentioned.
• Proven track record developing new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype.
• Strong theoretical and practical background in computer vision, image and video analysis, specifically object detection, tracking and recognition, statistical modeling, statistical pattern recognition, machine learning, sparse methods, applied mathematics, optimization.
• Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in Scripting languages such as Python is a plus.
• Practical experience and proficiency with Machine Learning modeling frameworks such as PyTorch, TensorFlow, etc.
• Strong understanding of data-efficient learning techniques
• Experience building analytics applications using Machine or Deep Learning for the deployment on edge devices.
• Experience with CAD models, and sensor generated data such as point cloud data.
• Experience in training algorithms with limited data, specifically semi-supervised/weakly supervised training techniques, experience with deep generative models
• Outstanding written and verbal communication skills in English are required.
• Excellent interpersonal skills and a can-do attitude.
• Ability to work independently and prioritize work.
• Strong collaboration skills and ability to thrive in a fast-paced environment.
• Flexibility and adaptability to work in a diverse and dynamic team.
• This position requires employees to be fully vaccinated against COVID-19 unless they are granted a medical or religious exemption

Research Engineer – Machine Vision & Augmented Reality @ Siemens

In this role as a Research Engineer, you will:

• Develop and apply Machine and Deep Learning approaches to real-world industrial problems.
• Contribute to the implementation of research projects and develop models/applications to be executed on various types of systems.
• Collaborate with Siemens business units to understand their problem requirements, create and deliver solutions to such problems.
• Support the acquisition of funds from Siemens business units as well as from public agencies.
• Maintain and enlarge network with US research institutes and start-ups for acquiring joint projects.
• Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
• Present and communicate project results and ideas to internal and external project partners or at conferences.
• Partner with colleagues to publish scientific papers, generate intellectual property, and apply for grants.

Qualified candidates will have:

• M.S. in Computer Science, Engineering, or related discipline.
• Minimum of 4 years of experience demonstrating strong understanding of fundamentals of machine learning and deep learning, along with knowledge of state-of-the-art solution approaches, successful demonstration of key responsibilities.
• Hands-on coding skills and ability to quickly prototype in Python is a must as well as deep experience in object-oriented languages such as C#.
• Practical experience and proficiency with Machine Learning modeling frameworks such as PyTorch, TensorFlow, etc.
• Strong understanding of data-efficient learning techniques
• Proven expertise with application development and deployment in RESTful Web Services.
• Knowledge of Augmented Reality application development in Unity for mobile devices such as HoloLens
• Outstanding written and verbal communication skills.
• Excellent interpersonal skills and a can-do attitude.
• Ability to work independently and prioritize work.
• Strong collaboration skills and ability to thrive in a fast-paced environment.
• Flexibility and adaptability to work in a diverse and dynamic team.
• Mix of technical curiosity and feel for business relevance
• This position requires employees to be fully vaccinated against COVID-19 unless they are granted a medical or religious exemption

Senior Low-Level GPU Computer Engineer @ Juice Labs

Juice Labs (founded January 2020) is doing something truly new. We’re making GPU access virtual, remote, easy, and much more efficient – both in the cloud and on-premise for businesses running graphics or compute workloads. Think of a client driver connecting any native application to a remote server, with the graphics/compute pipeline streaming between – and now imagine the possibilities!

We’re looking for great engineers who are passionate about the graphics/compute stack and love mastering the inner workings of modern operating systems. As an early engineer at Juice Labs, you’ll work with some of the world’s top graphics/compute pipeline engineers to design, build, test, fix, deploy, and iterate solutions that will (yes, really) revolutionize how the world uses GPUs.

Responsibilities

• Collaborate with visionaries to design and develop our core codebase to build an exceptional product at scale.
• Use graphics/compute APIs, compression libraries, caching strategies, networking libraries, low-level operating system hooks – and lots of creativity – to solve tough functional and performance problems that have never been solved before.
• Analyze, test, and debug specific use cases, and elegantly fold your solutions into the core product.

Minimum Qualifications

• 4+ years direct experience in graphics/compute pipeline engineering 
• Working experience with Linux C/C++ application development
• Working experience with multiple graphics/compute APIs; e.g. Vulkan, CUDA, DirectX, OpenGL

Preferred Qualifications

• Deeper experience with Vulkan | CUDA
• Familiarity with LLVM
• Familiarity with state-of-the-art ML models and real-world ML implementations