Janet.bourland.ctr@tri.global

Type: Full-Time
Job: Senior Software Engineer Integration Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Anywhere
Date Posted: 13 Jan 2021

Type: Full-Time
Job: Research Scientist, Machine Learning / Deep Learning
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Anywhere
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Machine Learning / Deep Learning Engineer
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Anywhere
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Software Engineer, Onboard Perception
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Build & Release Engineer
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Software Engineer, Core Platform
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Anywhere
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Software Engineer, Risk Aware Driving
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Anywhere
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Behavioral Scientist, Machine Assisted Cognition
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Causal Inference Expert, Machine Assisted Cognition
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Machine Learning / Reinforcement Learning Researcher, Machine Assisted Cognition
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Machine Learning Engineer / Data Scientist, Machine Assisted Cognition
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Software Engineer (AI – Human interfaces), Machine Assisted Cognition
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior Software Engineer (Fullstack), Machine Assisted Cognition
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Research Scientist, Mobile Manipulation Behaviors
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Senior or Staff Research Scientist, Data Fusion, Automated Mapping Platform (AMP)
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Ann ArborMichigan, United States
Date Posted: 12 Jan 2021

Type: Full-Time
Job: Software Engineer – Software Tools
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 11 Jan 2021

Type: Full-Time
Job: Director of Data Engineering and Infrastructure Engineering
Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global
Location: Los AltosCalifornia, United States
Date Posted: 11 Jan 2021

Type

Full-Time

Job

Technical Program Manager

Technical Program Manager

Full-Time

At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll help…

- Develop vehicles incapable of causing a crash, regardless of the actions of the driver.

- Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.

- Bring advanced mobility technology to market faster.

- Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful.

- Develop human-centered AI systems to augment (not replace) human decision making to increase the quality of decisions (e.g. mitigate cognitive biases) and/or to facilitate faster innovation cycles.

Our work is guided by a dedication to safety – in both what we research and how we perform our research our goal is to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!

We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun environment with forward-thinking people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing technology for safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.

We’re seeking experienced technical program managers (TPMs) passionate about developing and deploying technology that will improve the safety, accessibility, convenience, and efficiency of mobility solutions affecting millions of consumers. The TPM works alongside experienced technical leaders across over a dozen specialized engineering sub-teams. The role ensures overall coordination and delivery of individual subsystems and a fully integrated system. This includes synthesizing software and hardware integration project schedules, identifying/mitigating risks, and clearly communicating goals and status to project partners. The project spans numerous Toyota offices and time zones. Part of the job keeps all partners coordinated on project progress/timeline spanning numerous Toyota offices/time zones.

This position reports to TRI’s Manager of the Project Management Office. Some domestic travel required (<20%) with potential for occasional international travel (1-2x per year).

Responsibilities:

Handle multiple projects within a multi-functional program to deliver capabilities and/or infrastructure to support automated driving objectives.

Organize, nurture, and drive engineering teams to define software architecture, software design, develop, test and deploy in-car passenger user experience and automated driving capability.

Set, track and report status against scope, schedule, test plan and achievement objectives with members of the project team and broader organization/stakeholders.

Identify, manage, track and communicate risks, opportunities, issues and changes to maintain project objectives and success.

Facilitate inter-team collaboration, performance, and productivity through transparent communication of requirements, dependencies, and skills.

Produce and deliver executive-level presentations to successfully drive projects through review gates.

Lead delivery and consensus on technical decisions across teams (Engineering, Cloud, Simulation, Continuous Integration & DevOps, etc.) ensuring proper software engineering practices delivering high quality, safety-critical releases.

Support a Scrum-based, Agile development approach for projects and/or sub-teams, including managing user-stories and backlogs, and/or coordinating sprint ceremonies (planning, demos, and retrospectives).

Coordinate across program / product managers, systems engineers, SW/HW engineers, researchers, suppliers, members of other Toyota divisions, and TRI’s executive team ensuring clear communication and efficient workflow.

Required Qualifications:

Bachelor's degree or higher in engineering or equivalent work experience.

5+ years of aligned industry experience in managing multiple software development projects / programs concurrently.

3+ years of experience as TPM, engineer, or engineering manager in Advanced Driver-Assistance Systems (ADAS), automated driving systems, perception, high-definition mapping, machine learning, and/or robotics systems.

Ability to dive into technical details to coordinate planning and progress with individual contributors, technical leaders, and partners.

Experienced in Scrum-based Agile development including, but not limited to, managing user-stories, backlogs, sprint planning, retrospectives and possibly fulfilling the role of a ScrumMaster / Product Owner.

Comfortable engaging, presenting to and influencing company leaders ranging from individual contributors to executive-level leaders.

Excellent written / verbal communication skills, attention to detail, interpersonal skills and demonstrable success leading engineers.

Experience influencing without authority, i.e., working with multi-functional teams to get things done via individuals reporting elsewhere.

Thrives in ambiguity, setting own goals and effectively delivering to them in fast-changing environment.

Experience with Google’s G-Suite, Jira, Confluence, Slack, and video-conferencing tools.

Location: Anywhere

Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global

Location

Anywhere

Date Posted

11 Jan 2021

Type

Full-Time

Job

Research Scientist, Accelerated Materials Design and Discovery

Research Scientist, Accelerated Materials Design and Discovery

Full-Time

At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll help…

- Develop vehicles incapable of causing a crash, regardless of the actions of the driver.

- Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.

- Bring advanced mobility technology to market faster.

- Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful.

- Develop human-centered AI systems to augment (not replace) human decision making to increase the quality of decisions (e.g. mitigate cognitive biases) and/or to facilitate faster innovation cycles.

Our work is guided by a dedication to safety – in both what we research and how we perform our research our goal is to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!

We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun environment with forward-thinking people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing technology for safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.

The long-term vision of TRI’s Accelerated Materials Design and Discovery (AMDD) program is to accelerate the technological development of truly emissions-free mobility. Realizing this vision will require the development of new materials for batteries, fuel cells, and more. Our aim at TRI is to merge advanced computational materials modeling, new experimental data, artificial intelligence, and automation to dramatically accelerate the materials design and discovery process. AMDD’s focus is on developing tools and capability to enable this acceleration. In addition to the research work of the internal team, AMDD collaborates closely with a dozen universities and national labs. AMDD aims to both develop and translate the newest technologies into practice, both within Toyota and the open research community more broadly.

We are looking for a research scientist to develop machine learning approaches to accelerate battery development and testing, build software tools, and develop data-driven models of batteries to aid in prediction and performance optimization. The candidate will bring a blend of experience in data science and physics-based modeling. You will join a team of materials scientists, engineers, software developers, and data scientists. You will collaborate with world-class university research groups who work at the leading edge of materials research for future energy solutions.

Responsibilities

Conduct and manage battery research with an emphasis on application. Areas of research include electrochemistry, prediction algorithms, systems engineering, reliability, cost, and safety.

Design and deploy cloud-based software infrastructure for battery research.

Manage, collaborate, and support external research programs with Toyota Motor Corporation and partnering universities.

Take an active role in the team building and operational activities of AMDD.

Qualifications

Ph.D. or equivalent in engineering, materials science, or a related field.

Research experience and publication record, ideally in battery applications.

Experience with machine learning and data analysis.

Programming experience and interest in learning modern software development tools.

Willingness to be a teammate.

Availability to travel as needed (in future years). Some US travel is required and occasionally to Japan.

Location: Anywhere

Janet.bourland.ctr@tri.global – Posted by Janet.bourland.ctr@tri.global

Location

Anywhere

Date Posted

11 Jan 2021

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Janet.bourland.ctr@tri.global

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Technical Program Manager

Responsibilities:

Required Qualifications:

Research Scientist, Accelerated Materials Design and Discovery

Responsibilities

Qualifications

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