VR Teleoperation UI/UX Engineer, Large Behavior Models at Toyota Research Institute

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, AutomotiveIndustries

Requirements

5+ years of confirmed experience designing, prototyping, and shipping user interfaces and experiences for immersive experiences (VR or XR video games preferred), with a strong portfolio showcasing your work
Front-End Development Expertise: Shown ability to build efficient, reusable, and performance-critical front-end systems, ideally with experience in real-time graphics and data visualization
Game Design Principles (Applied to UI): Understanding of game design principles related to user feedback, immersion, and intuitive interaction
User-Centered Design: A strong commitment to user-centered design practices

Responsibilities

Design and Implement VR UI/UX: Create and refine intuitive user interfaces, control schemes (controllers, hand-tracking, gestures), and interactive elements within the VR environment specifically for robotic teleoperation
Develop Immersive Experiences: Build VR/XR systems that provide high situational awareness and intuitive control, minimizing operator fatigue during extended teleoperation sessions
User Research & Iteration: Conduct user research, gather feedback from operators, and rapidly iterate on design and implementation to optimize the teleoperation experience
Front-End Engineering: Develop robust and performant front-end code for the VR application, ensuring seamless integration with real-time data streams and robot command relays
Collaborate Cross-Functionally: Partner closely with hardware, AI, robot control, and deployment teams to ensure the UI/UX aligns with system capabilities and overall product goals

Skills

Teleoperation

UI/UX

Drake

Robotics

Machine Learning

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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