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Perception Engineer Jobs in Michigan (NOW HIRING)

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

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 ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

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 ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Ford Motor Company

Perception Systems Engineer

Dearborn, MI · Hybrid

$99K - $192K/yr

... Engineer to join our team and play a key role in designing, defining requirements, and creating analysis and testing methodologies for our Near-Field Perception Systems. These systems can leverage ...

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$11

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$70

How much do perception engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for perception engineer in Michigan is $48.80, according to ZipRecruiter salary data. Most workers in this role earn between $35.00 and $64.95 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Perception Engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.

What is a Perception Engineer job?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

What are the key skills and qualifications needed to thrive in the Perception Engineer position, and why are they important?

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

What are the most commonly searched types of Perception Engineer jobs in Michigan? The most popular types of Perception Engineer jobs in Michigan are:
What are popular job titles related to Perception Engineer jobs in Michigan? For Perception Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Perception Engineer jobs in Michigan look for? The top searched job categories for Perception Engineer jobs in Michigan are:
What cities in Michigan are hiring for Perception Engineer jobs? Cities in Michigan with the most Perception Engineer job openings:
Perception Engineer jobs near you
Infographic showing various Perception Engineer job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,509 per year, or $48.8 per hour.

Lead Perception Engineer

Woven by Toyota

Ann Arbor, MI • On-site

$100K - $132K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago

Job description

About Woven by Toyota
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

Important Points
• All interviews will be arranged via Google Meet, unless otherwise stated.
• The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
• We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
WHAT WE OFFER
• Competitive Salary - Based on experience
• Work Hours - Flexible working time
• Paid Holiday - 20 days per year (prorated)
• Sick Leave - 6 days per year (prorated)
• Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
• Japanese Social Insurance - Health Insurance, Pension, Workers' Comp, and Unemployment Insurance, Long-term care insurance
• Housing Allowance
• Retirement Benefits
• Rental Cars Support
• In-house Training Program (software study/language study)
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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