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Toyota Engineering Jobs in Michigan (NOW HIRING)

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... Leading project execution, defining efficient engineering processes, and mitigating risks.

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... Leading project execution, defining efficient engineering processes, and mitigating risks.

Toyota

PSD Business Co-op

Saline, MI · On-site

As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're ...

Woven by Toyota

System Safety Engineer

Ann Arbor, MI · On-site

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... teams, Systems Engineering, V&V, and ML Safety. You bring rigor, traceability, and practical ...

Woven by Toyota

System Safety Engineer

Ann Arbor, MI · On-site

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... teams, Systems Engineering, V&V, and ML Safety. You bring rigor, traceability, and practical ...

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Toyota Engineering information

See Michigan salary details

$28.3K

$54.9K

$83.2K

How much do toyota engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for toyota engineering in Michigan is $54,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $62,800.00 per year, depending on experience, location, and employer.

What is Toyota engineering?

Toyota Engineering refers to the specialized field of engineering focused on the design, development, manufacturing, and improvement of Toyota vehicles and automotive systems. Professionals in this area work on a wide range of projects, from vehicle safety and efficiency to innovative technologies like hybrid and electric powertrains. Toyota engineers often collaborate across disciplines, applying principles of mechanical, electrical, and software engineering to create reliable, high-quality vehicles. They also follow Toyota's unique production system, emphasizing continuous improvement and efficiency.

What are the key skills and qualifications needed to thrive as a Toyota engineer, and why are they important?

To thrive as a Toyota Engineer, you need a solid background in mechanical, electrical, or industrial engineering, typically with a relevant engineering degree and strong problem-solving abilities. Familiarity with CAD software, manufacturing systems, and lean production methodologies such as Toyota Production System (TPS) is crucial. Excellent teamwork, communication, and a continuous improvement mindset distinguish top performers in this role. These skills ensure the delivery of high-quality, innovative automotive solutions while maintaining efficiency and adhering to Toyota's rigorous standards.

What do Toyota engineers do?

Toyota engineers design, develop, and test vehicle components and systems to ensure safety, performance, and reliability. They work on areas such as engine design, manufacturing processes, quality control, and innovation, often using CAD software and adhering to industry standards. Their role involves collaboration across departments to improve vehicle technology and efficiency.

How do Toyota engineers typically collaborate with cross-functional teams during vehicle development projects?

Toyota engineers regularly work alongside professionals from design, manufacturing, quality assurance, and supply chain teams to ensure seamless vehicle development. Collaboration often involves participating in multidisciplinary meetings, sharing technical expertise, and aligning project goals through Toyota's well-known 'kaizen' (continuous improvement) approach. This structure encourages open communication and problem-solving, allowing engineers to contribute ideas beyond their core discipline and gain broader industry insights. Such collaboration not only enhances product quality but also fosters professional growth and a strong team environment.

What is the difference between Toyota Engineering vs Toyota Manufacturing Technician?

AspectToyota EngineeringToyota Manufacturing Technician
Required CredentialsBachelor's degree in engineering or related fieldHigh school diploma or technical certification
Work EnvironmentDesign labs, R&D centers, project planning areasFactory floors, assembly lines, maintenance areas
Employer & Industry UsageUsed in vehicle design, testing, and developmentUsed in production, assembly, and equipment maintenance
Common Search & ComparisonOften compared for technical roles in automotive designCompared for hands-on manufacturing roles

Toyota Engineering focuses on vehicle design, testing, and development, requiring engineering degrees and working in R&D environments. In contrast, Toyota Manufacturing Technicians work directly on assembly lines, maintaining and operating manufacturing equipment, often with technical certifications. Both roles are essential in Toyota's production process but differ significantly in responsibilities and work settings.

What are popular job titles related to Toyota Engineering jobs in Michigan? For Toyota Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Toyota Engineering jobs in Michigan look for? The top searched job categories for Toyota Engineering jobs in Michigan are:
What cities in Michigan are hiring for Toyota Engineering jobs? Cities in Michigan with the most Toyota Engineering job openings:
Toyota Engineering jobs near you
Infographic showing various Toyota Engineering job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $54,890 per year, or $26.4 per hour.

Lead Perception Engineer

Woven by Toyota

Ann Arbor, MI • On-site

$100K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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
At Woven by Toyota, we work on some of the most challenging problems in autonomy from 3D geometric computer vision and perception to prediction, motion planning, and safe deployment of ML systems in real vehicles. Our AD/ADAS organization develops production-grade autonomy and active safety technologies that operate in complex, uncertain real-world environments and ship at global scale.
You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world-understanding systems that directly influence how vehicles see, reason about, and interact with the world.
WHO ARE WE LOOKING FOR?
We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the multi-year roadmap, architecture, metrics, and technical strategy for software components contributing to understanding around the vehicle. A system thinker with technical depth in machine learning approaches to complex systems. This engineer will accelerate the adoption of data-driven and deep learning methodologies, focusing on ML system design and verification, supervised/unsupervised learning, multi-modality, multi-tasks training, and temporal/sequential modeling. This role emphasizes faster and more cost-efficient model iteration, data-driven validation strategies, and unlocking new safety/performance capabilities through advanced ML.
The role also requires strong communication skills, an aptitude for mentoring tech leads, influencing and collaborating with diverse stakeholders, including TMC, in identifying deep technical challenges, developing solutions, and executing on the delivery of our autonomy mission.
RESPONSIBILITIES
  • Driving the technical vision and multi-year strategy for World Understanding (including perception, mapping, fusion, on-board/off-board) software.
  • Leading project execution, defining efficient engineering processes, and mitigating risks.
  • Collaborate with cross-functional teams such as Data, Behavior (Planner/Controller/HMI), Developer Ecosystem, and Product Delivery while influencing technical decisions across the organization to drive innovation, ensure seamless system integration, and improve overall engineering efficiency.
  • Develop state-of-the-art models to deliver desired driving environments in various sensor configurations.
  • Increase speed of the component- and system-level model iteration while maintaining cost efficiency
  • Incorporate data-driven approaches to improve system performance and unlock new capabilities for safety.
  • Maintain the functional architecture design and lead review of technical designs
  • Drive organizational metrics towards performance, safety, and quality
  • Maintain external presence of the department through papers, patents, and presentations
  • Assess and mitigate risk to the technical program
  • Act in partnership with other Lead Engineers in AD/ADAS to solve high impact cross-functional issues
  • Mentor and support engineers, fostering growth through code reviews, knowledge sharing, and collaboration with cross-functional teams to align technical solutions with business goals.
  • 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.
  • Build component and system level validation strategies that are leveraged to resolve complex interactions between components, increase performance, and evaluate design tradeoffs related to data-driven practices

MINIMUM QUALIFICATIONS
  • 10+ years of professional experience with machine learning applications or applied science
  • MS or PHD in Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar
  • Deep expertise in ML algorithms, frameworks, data-driven methods, supervised/unsupervised learning, multi-modality, multi-tasks training, and temporal/sequential modeling, and deployment of ML models at scale.
  • Strong R&D potential in algorithm design, data-driven approaches to safety, and large-scale, complex systems architecture, and requirements-driven development
  • Experience with utilizing deep learning frameworks to increase speed and ease of development
  • Experience with temporal data and/or sequential modeling
  • Experience with code quality and systems safety processes for production code delivery, with respect to data-driven methodologies and model validation
  • Strong, practical understanding of real-time system development, performance issues, testing modalities, and tradeoffs
  • Ability to write code in C++ and python
  • Ability to lead in globally distributed team
  • You are an excellent communicator, skilled collaborator, and principled colleague

NICE TO HAVES
  • Published research at top-tier conferences (NeurIPs, CVPR and similar)
  • Proven track record of deploying ML models at scale in self-driving or related fields.
  • Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping)
  • Experience with Planner ML system design (e.g. including supervised/unsupervised learning, reinforcement learning, diffusion policy)
  • Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)
  • Japanese language skills

For positions based in Palo Alto, CA, the base pay ranges from $189,000-$310,500 a 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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