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Engineering Manager Toyota Jobs (NOW HIRING)

Toyota

Controls Engineer

Liberty, NC · On-site

$83K - $107K/yr

Who we're looking for Toyota's Production Engineering Battery department is looking for a ... Manufacturing Operations Management (MOM). * Support battery network system plans and ...

Toyota

Controls Engineer - Off Shift

Liberty, NC · On-site

$83K - $107K/yr

Who we're looking for Toyota's Production Engineering Battery department is looking for a ... Manufacturing Operations Management (MOM) * Support battery network system plans and specifications ...

Toyota

Controls Engineer

Georgetown, KY · On-site

$75K - $97K/yr

Bastian Automation, a division of Toyota Automated Logistics, is seeking a Controls Engineer for ... This position works directly with the AV Engineering Manager and various manufacturing business ...

Toyota

Toyota Safety Co-op

Georgetown, KY · On-site

$36K - $47K/yr

Conduct training and auditing to enhance management system performance * Commission new equipment ... Occupational Safety & Health, Fire Science, Industrial Engineering, Public Health, or equivalent ...

Toyota

Senior Software Engineer - Fullstack

Plano, TX

$117K - $154K/yr

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and ... Collaborate closely with Engineering Managers, Product, and Front-End Engineering to shape roadmaps ...

Toyota

Senior Lead Data Engineer

Plano, TX

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and ... Collaborate closely with Engineering Managers, Product, Data Science, and Analytics to shape data ...

Toyota

Toyota Safety Co-op

Georgetown, KY · On-site

$36K - $47K/yr

Conduct training and auditing to enhance management system performance * Commission new equipment ... Occupational Safety & Health, Fire Science, Industrial Engineering, Public Health, or equivalent ...

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All JobsEngineering Manager Toyota Jobs

Engineering Manager Toyota information

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$46.5K

$146.9K

$174K

How much do engineering manager toyota jobs pay per year?

As of Jun 10, 2026, the average yearly pay for engineering manager toyota in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Engineering Manager Toyota vs Mechanical Engineer Toyota?

AspectEngineering Manager ToyotaMechanical Engineer Toyota
Required CredentialsBachelor's or Master's in Engineering, leadership experienceBachelor's or Master's in Mechanical Engineering
Work EnvironmentOversees teams, manages projects, strategic planningDesign, analysis, testing of mechanical systems
Employer & Industry UsageUsed in automotive manufacturing, leadership rolesUsed in design, development, manufacturing of mechanical parts

The main difference between an Engineering Manager Toyota and a Mechanical Engineer Toyota lies in their responsibilities. The Engineering Manager oversees teams, manages projects, and handles strategic planning, requiring leadership experience. In contrast, the Mechanical Engineer focuses on designing and testing mechanical systems, with technical expertise in engineering design. Both roles are essential in Toyota's automotive industry but differ significantly in scope and responsibilities.

Engineering Manager, Machine Learning Behavior Planning & Prediction

Woven by Toyota

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
The Behavior team at Woven by Toyota tackles Autonomy challenges for problems in prediction and trajectory planning. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Prediction and Motion Planning.
WHO ARE WE LOOKING FOR?
We are seeking an experienced and technically strong, hands-on Engineering Manager to lead a group of highly talented and passionate engineers in the behavior team. This role is focused on developing and deploying state-of-the-art machine learning models for planning and prediction in AD/ADAS, along with their associated data processing pipelines and vehicle deployment. The ideal candidate has a deep passion for self-driving technology and its potential global impact. You will lead your team in advancing our core behavior machine learning models and accompanying pipelines. We are looking for an individual with domain expertise in machine learning, a comprehensive understanding of the model lifecycle, and experience developing tools and pipelines for behavior problems. Success in this role requires a candidate who thrives in a fast-paced environment, is hands-on, and is eager to push the boundaries of our technology. Prior experience building and deploying real-world autonomous driving products, collaborating with highly talented engineers, is essential.
RESPONSIBILITIES
  • Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives.
  • Initiate and influence cross-functional teams towards common development goals.
  • Enable and help other engineers on the team to be more effective through coaching and leading by example and by providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
  • Be actively involved in day-to-day development and code review.
  • Collaborate with team members to design, develop, deploy, and evaluate state of the art algorithms and capabilities for prediction and motion planning.
  • Use metrics to measure, validate, and improve performance through testing in simulation and on roads.
  • Design reusable software components as part of an integrated system.
  • Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing.
  • Be a champion of the scientific method and critical thinking to invent state-of-the-art deep learning solutions
  • Work in a high-velocity environment and employ agile development practices.
  • Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.

MINIMUM QUALIFICATIONS
  • M.S., Ph.D., or equivalent, in Computer Science, Robotics, Control, Applied Mathematics, or other quantitative fields.
  • 3+ years of experience managing an engineering team, both in people management and technical leadership. A strong candidate should have demonstrated strong technical leadership, team development, and delivered high-impact projects in the automotive industry.
  • 5+ years of experience with learning-based planning approaches such as supervised/unsupervised imitation learning, transfer learning, multi-task learning, reinforcement learning, and state-of-the-art techniques for sequential modeling like Transformer architectures
  • 5+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
  • Passionate about self-driving car technology and its potential for humanity.
  • Strong communication skills with the ability to communicate concepts clearly and precisely
  • Strong programming skills in Python.

NICE TO HAVES
  • Published research at top-tier conferences (NeurIPS, CVPR, RSS, IROS, ICRA, and similar).
  • Proven track record of deploying ML models at scale in self-driving or related fields.
  • Familiarity with production-level coding in time-limited task schedules.
  • Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)
  • Experience with temporal data and/or sequential modeling.
  • Experience in self-driving challenges (Perception, Prediction, Planning, Simulation).

The base pay ranges from $140,000 to $230,000 per year.
Your base salary is one part of your total compensation. We offer a base salary, short-term and long-term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits
Our Commitment
• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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