Full-Time

Hardware Engineer

Confirmed live in the last 24 hours

Toyota Research Institute

Toyota Research Institute

201-500 employees

Research in mobility, safety, and automation

Compensation Overview

$139.8k - $209.7k/yr

+ Annual Cash Bonus

Mid

Mountain View, CA, USA

Category
Hardware Engineering
Electronic Hardware Engineering
Hardware Validation & Testing
Required Skills
Python
Assembly
C/C++
Requirements
  • B.S. or higher in an engineering-related field, preferably electrical engineering
  • 3 years of relevant industry experience
  • Experience with a full-stack approach to robotics, including familiarity with electromechanical systems and actuation
  • Practical software design experience
  • Software engineering experience working with C++ and Python
  • Experience building and deploying custom robotic systems to remote facilities
  • Experience and a proven understanding of rapid prototyping techniques
  • Experience designing for small-scale contract manufacturing and assembly
  • Strong interpersonal and communication skills
  • Ability to travel up to 50% of the time periodically, both international and domestic
Responsibilities
  • Participate in hardware development initiatives on the PROps team and contribute to the design and development of TRI’s research projects, focusing primarily on robotics
  • Produce documentation for the assembly, manufacturing, and function of designed systems
  • Participate in field test events to evaluate system performance and prepare and deliver reports on test results
  • Develop prototypes and perform studies to identify and specify key system components, including sensors, circuit boards, and actuators
  • Design, bring up, and debug custom electrical sub-systems, including power systems, motor control and sensor interfaces, and the overall electrical system
  • Partner with internal collaborators, external vendors, and contractors to develop, fabricate, and assemble sophisticated systems and subsystems
  • Perform builds and tear-downs of deployment facilities and workstations
  • Assemble, as needed, the requisite components for testing and test infrastructure
  • Assist in developing and documenting user manuals for existing prototypes, as well as documentation of new components and prototypes as they are developed
  • Collaborate with Research Operations Engineers to design and coordinate events, field tests, and other deployments in support of the research and engineering teams
  • Fabricate components for prototypes using rapid prototyping equipment (3D Printers, laser cutters, drill presses, saws, etc.)
  • Safely deploy and directly operate mobile robots and research equipment during deployment activities
Toyota Research Institute

Toyota Research Institute

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Toyota Research Institute focuses on advancing 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 improve the driving experience and road safety. TRI differentiates itself from competitors by its research-driven approach and partnerships with various clients, including automotive manufacturers and technology firms. The goal of TRI is to create sustainable transportation solutions and improve human capability, ultimately enhancing the quality of life and shaping the future of transportation.

Company Size

201-500

Company Stage

Seed

Total Funding

$100M

Headquarters

Los Altos, California

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Boston Dynamics could advance human-robot interaction and safety.
  • TRI's AI-assisted driving technology aligns with demand for safer, semi-autonomous vehicles.
  • Driving Sensei concept may set new industry standards for driver skills and safety.

What critics are saying

  • Competition from Boston Dynamics could challenge TRI's market position in robotics.
  • AI-assisted driving safety may face scrutiny after recent autonomous vehicle incidents.
  • Large behavior models for robots may raise ethical concerns and regulatory scrutiny.

What makes Toyota Research Institute unique

  • TRI collaborates with Boston Dynamics to develop advanced humanoid robots.
  • TRI's Driving Sensei concept enhances driver skills through AI-driven instruction.
  • TRI uses generative AI to teach robots new behaviors, showcasing cutting-edge research.

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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.

Company News

The Boston Globe
Oct 16th, 2024
Boston Dynamics teams up with Toyota to build human-like robots, with AI

Waltham robot maker Boston Dynamics is partnering with the Toyota Research Institute in Cambridge to develop advanced humanoid robots - two-legged people-shaped machines that can safely work side-by-side with humans.

The Robot Report
Aug 8th, 2024
Rbr50 Spotlight: Tri Builds Large Behavior Models To Teach Robots

RBR50 Spotlight: TRI builds large behavior models to teach robots. By The Robot Report Staff | August 8, 2024Listen to this articleOrganization: Toyota Research Institute. Country: U.S

PR Newswire
Jul 24th, 2024
Toyota Research Institute Y Stanford Engineering Logran La Primera Secuencia De Derrape En Tándem Totalmente Autónoma Del Mundo

Investigación basada en la inteligencia artificial para mejorar la seguridad al volanteLOS ALTOS, California, 24 de julio de 2024 /PRNewswire-HISPANIC PR WIRE/ -- Hoy, Toyota Research Institute (TRI) y Stanford Engineering anunciaron una primicia mundial en investigación de conducción: la conducción autónoma de dos vehículos en tándem.Toyota Research Institute y Stanford Engineering logran la primera secuencia de derrape en tándem totalmente autónoma del mundoDurante casi siete años, los equipos han colaborado en investigaciones para hacer más segura la conducción. Los experimentos automatizan una maniobra de automovilismo llamada "derrape", en la que el conductor controla con precisión la dirección del vehículo tras perder tracción haciendo girar los neumáticos traseros, una habilidad transferible a la recuperación de un derrape sobre nieve o hielo. Al añadir un segundo vehículo que derrapa en tándem, los equipos han simulado con mayor precisión las condiciones dinámicas en las que los autos deben responder rápidamente a otros vehículos, peatones y ciclistas."Nuestros investigadores se reunieron con un objetivo en mente: cómo hacer que la conducción sea más segura", declaró Avinash Balachandran , vicepresidente de la división de Conducción Humana Interactiva del TRI. "Ahora, utilizando las últimas herramientas de IA, podemos conducir dos vehículos en tándem de forma autónoma. Es la maniobra más compleja del automovilismo, y alcanzar este hito con autonomía significa que podemos controlar los autos de forma dinámica en los extremos. Esto tiene implicaciones de gran alcance para la construcción de sistemas de seguridad avanzados en los futuros automóviles"."La física del derrape es en realidad similar a la que puede experimentar un auto sobre nieve o hielo", afirma Chris Gerdes , profesor de ingeniería mecánica y codirector del Centro de Investigación del Automóvil de Stanford (CARS, por sus siglas en inglés)

VentureBeat
Jul 3rd, 2024
Announcing The Finalists For The 6Th Annual Venturebeat Ai Innovations Awards

We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More. As enterprise decision-makers get ready for VentureBeat’s flagship enterprise AI event, VB Transform next week, we are excited to announce the finalists for the sixth annual VB AI Innovation Awards.The winners will be announced during an awards ceremony on the main stage of Transform on July 10, 4-5 p.m. in San Francisco. Transform, the premier event for enterprise technical decision-makers focused on mastering generative AI applications, is set to take place from July 9 to 11. This exclusive three-day in-person gathering offers a unique opportunity to explore the impact of gen AI across crucial sectors including health, finance, and software. Attendees will gain valuable insights from a diverse lineup of speakers, featuring tech leaders from Fortune 500 firms including Wells Fargo, Walmart and Kaiser Permanente, and innovative and disruptive companies like Brex, Pinterest and Airbnb.On July 10, VentureBeat will recognize and award various forms of excellence in AI through our sixth annual VB AI Innovation Awards

PR Newswire
Apr 19th, 2024
El Toyota Research Institute Anuncia Un Desafío Multimillonario Para Acelerar La Investigación De Nuevos Materiales Avanzados

Desafío para acelerar la transición hacia soluciones energéticas más limpiasLOS ALTOS, California y CAMBRIDGE, Massachusetts, 18 de abril de 2024 /PRNewswire-HISPANIC PR WIRE/ -- El Toyota Research Institute (TRI) anuncia un desafío plurianual y multimillonario destinado a cerrar la brecha entre los recientes avances en la predicción de nuevos materiales mediante IA y la búsqueda de una buena "receta", necesaria para fabricar estos materiales hipotéticos en el mundo real.El Toyota Research Institute anuncia un reto multimillonario para acelerar la investigación de nuevos materiales avanzadosEn la actualidad, los investigadores pueden utilizar la IA y la simulación para encontrar millones de nuevos materiales a un ritmo sin precedentes. Aunque esto es alentador, al intentar crear estos materiales en el laboratorio se produce un cuello de botella. Desarrollar la fórmula para crear incluso un solo material nuevo en el laboratorio (el proceso de síntesis) puede llevar años."Acelerar la síntesis de materiales diseñados por computadora podría cambiar las reglas del juego en el desarrollo de tecnologías avanzadas, como las baterías para vehículos eléctricos", afirmó Brian Storey , director principal de energía y materiales del TRI. "Por eso el TRI intenta conseguir algo nuevo. Invitamos a los mejores investigadores en este campo para que aporten ideas nuevas que ayuden a reducir las diferencias entre la computadora y el laboratorio"."Cuando iniciamos el TRI en 2016, uno de nuestros principios fundacionales fue que buscaríamos con entusiasmo la colaboración con otros y evitaríamos el síndrome de: 'no se inventó aquí'", declaró Gill Pratt , científico director de Toyota Motor Corporation y director ejecutivo de TRI. "Nuestra intención es reducir la cantidad de años del proceso de descubrimiento de nuevos materiales al crear un reto de investigación colaborativa entre académicos y socios investigadores de todo el mundo".El Synthesis Advanced Research Challenge (Desafío de investigación avanzada en síntesis) financiará cuatro de las ideas más prometedoras presentadas para utilizar la inteligencia artificial y la simulación con el fin de sintetizar nuevos materiales para la próxima generación de vehículos eléctricos y otras aplicaciones tecnológicas emergentes.Lo ideal es que las propuestas combinen enfoques innovadores que aprovechen los últimos avances metodológicos con un plan de colaboración convincente