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Robotics Perception Engineer Jobs in Michigan (NOW HIRING)

asrcfh

Robotics Engineer

Sterling Heights, MI · On-site

... perception, decision-making algorithms). * Design, integrate, and test software for robotics, AI/ML ... Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence ...

asrcfh

Robotics Engineer

Sterling Heights, MI · On-site

... perception, decision-making algorithms). * Design, integrate, and test software for robotics, AI/ML ... Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence ...

Kion Group AG

Robotics Engineer, Software

Holland, MI · On-site

$96K - $128K/yr

... perception and configuration. * Collaborate with fellow engineers, encouraging a culture of ... Collaborate with robotics, cloud, and systems teams on multi-functional efforts. * Mentor and ...

Kiongroup

Robotics Engineer, Software

Grand Rapids, MI · Hybrid

$96K - $128K/yr

... perception and configuration. * Collaborate with fellow engineers, encouraging a culture of ... Collaborate with robotics, cloud, and systems teams on multi-functional efforts. * Mentor and ...

Kiongroup

Robotics Engineer, Software

Grand Rapids, MI · Hybrid

$96K - $128K/yr

... perception and configuration. * Collaborate with fellow engineers, encouraging a culture of ... Collaborate with robotics, cloud, and systems teams on multi-functional efforts. * Mentor and ...

Kiongroup

Robotics Engineer, Software

Holland, MI · Hybrid

$96K - $128K/yr

... perception and configuration. * Collaborate with fellow engineers, encouraging a culture of ... Collaborate with robotics, cloud, and systems teams on multi-functional efforts. * Mentor and ...

Kiongroup

Robotics Engineer, Software

Holland, MI · Hybrid

$96K - $128K/yr

... perception and configuration. * Collaborate with fellow engineers, encouraging a culture of ... Collaborate with robotics, cloud, and systems teams on multi-functional efforts. * Mentor and ...

May Mobility

Robotics Engineer II

Ann Arbor, MI

Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a ... Functional understanding of lidar, camera and/or radar perception systems and their hardware ...

May Mobility

Robotics Engineer II

Ann Arbor, MI · On-site

Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a ... Functional understanding of lidar, camera and/or radar perception systems and their hardware ...

Aptiv

Embedded Engineering Manager

Troy, MI

Serve as a technical thought leader for systems engineering, embedded software, robotics, autonomy, and perception technologies. * Guide key technical trade-offs involving performance, latency ...

Zipline

Autonomy Zip Perception SWE

Ann Arbor, MI

$180K - $265K/yr

We're looking for senior machine learning and perception engineers to help define the ... robots, aircraft, or vehicles. * Expertise in state-of-the-art deep learning models, specifically ...

New

Kion Group AG

Senior Robotics Engineer

Holland, MI · On-site

$113K - $151K/yr

... perception and configuration. * Mentor and guide fellow engineers, encouraging a culture of ... Develop the strategic direction of our robotics software initiatives Core Responsibilities:

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Robotics Perception Engineer information

What is a robotics perception engineer?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.

What are some common challenges faced by robotics perception engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are popular job titles related to Robotics Perception Engineer jobs in Michigan?

For Robotics Perception Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Robotics Perception Engineer jobs in Michigan look for?

The top searched job categories for Robotics Perception Engineer jobs in Michigan are:

What cities in Michigan are hiring for Robotics Perception Engineer jobs?

Cities in Michigan with the most Robotics Perception Engineer job openings:

Robotics Perception Engineer jobs near you

Embedded Engineering Manager - Robotics & Drones

Troy, MI • On-site

Aptiv PLC
Non-Profits • 201 - 500 employees
Learn more about Aptiv PLCexternal

Full-time

Posted 18 days ago

Key responsibilities

  • Lead teams responsible for the development of robotics and drone hardware and software systems.

  • Define and execute technology and product roadmaps spanning embedded systems, software platforms, autonomy, and perception.

  • Collaborate with cross-functional teams to ensure system capabilities meet performance, safety, and commercial objectives.

Job description

Embedded Engineering Manager - Robotics & Drones
We are Aptiv - a global technology company with 200,000 specialists in 48 countries. We develop innovative software and build the hardware to bring autonomous driving cars, advanced driver-assistance systems, connected vehicles and smart cities to life in a way that only we can. We work in partnership with almost all car manufacturers. Our sensors, systems and software can already be found in almost all passenger cars today.
Aptiv is building a new Robotics business focused on Autonomous Mobile Robots (AMRs) and Drones for warehouse, industrial, and adjacent markets. A core differentiator of these systems is robust, reliable, and scalable perception across diverse environments and customer use cases.
We are seeking an Embedded Engineering Manager to lead teams responsible for the development of robotics and drone hardware and software systems. In this role, you will define and execute technology and product roadmaps spanning embedded systems, software platforms, autonomy, and machine learning-based perception, while building and leading high-performing engineering teams.
You will balance strong technical leadership with people management, driving the delivery of reliable, scalable, and production-ready robotics and drone solutions. Working closely with autonomy, localization, safety, hardware, data, and product teams, you will ensure system capabilities meet performance, safety, and commercial objectives. You will also help transform early-stage concepts and proofs of concept into robust, data-driven products that can be deployed across multiple platforms, applications, and customer environments.
Technical Leadership & Strategy
  • Own and drive the technical strategy, architecture, and execution for embedded systems and software across AMR and drone platforms.
  • Provide technical leadership across sensing, compute platforms, data pipelines, perception algorithms, embedded software, and system integration.
  • Collaborate with Product Managers and Technical Program Managers to shape product roadmaps, ensuring technical feasibility, realistic resource planning, and alignment with business objectives.
  • Develop and maintain technology and competency roadmaps by monitoring industry trends, emerging technologies, and future product requirements.
  • Serve as a technical thought leader for systems engineering, embedded software, robotics, autonomy, and perception technologies.
  • Guide key technical trade-offs involving performance, latency, reliability, safety, compute resources, scalability, maintainability, and cost.

Systems, Software & Perception Engineering Leadership
  • Lead engineering teams responsible for:
    • Embedded systems architecture and platform software.
    • Sensor integration and data acquisition (cameras, lidar, radar, depth sensors, IMUs, and related technologies).
    • Sensor data ingestion, preprocessing, synchronization, and transport.
    • Runtime inference, diagnostics, monitoring, and health management.
    • System-level integration across perception, localization, planning, safety, and control subsystems.
  • Establish engineering standards, architecture guidelines, and software development best practices that support scalable, production-ready robotics systems.
  • Drive technical execution from concept through deployment while ensuring reuse across multiple robot and autonomous platform form factors.

Product Delivery & Technical Execution
  • Resolve critical technical escalations and remove engineering roadblocks by working directly with product teams when necessary.
  • Support product development teams throughout the development lifecycle, ensuring technical risks are identified and mitigated early.
  • Drive cross-functional problem solving across hardware, software, autonomy, safety, and product organizations.
  • Partner with Technical Program Managers and engineering leads to balance priorities, schedules, resources, and technical scope.
  • Drive continuous process, methodology, and workflow improvements to improve engineering quality, predictability, and efficiency.

Team Leadership & Talent Development
  • Directly manage and grow multiple systems, software, and perception engineering teams.
  • Establish clear goals, expectations, priorities, and performance objectives aligned with product and organizational strategies.
  • Lead hiring, onboarding, performance management, succession planning, and career development activities.
  • Mentor engineers and technical leaders in:
    • Systems architecture and embedded software design.
    • Robotics and autonomous system development.
    • Scalable software engineering and DevOps practices.
    • Root-cause analysis, problem solving, and technical decision making.
  • Foster a culture of ownership, quality, innovation, collaboration, and continuous learning.
  • Identify future staffing, skillset, and resource needs based on product roadmaps and organizational growth plans.

Cross-Functional Collaboration & Platform Integration
  • Partner closely with hardware, SoC, and platform engineering teams to:
    • Evaluate and select sensors, compute platforms, and acceleration technologies.
    • Define system architectures that balance performance, power consumption, cost, and scalability.
    • Ensure robust timing, synchronization, communication, and bandwidth management.
  • Collaborate with autonomy, localization, planning, controls, and safety teams to establish system interfaces, requirements, data contracts, diagnostics, and performance expectations.
  • Support build-versus-buy evaluations for sensors, software frameworks, perception technologies, SDKs, and third-party components.
  • Work closely with Product Managers, Technical Program Managers, and customers to translate business and operational requirements into technical solutions.

Quality, Reliability & Safety
  • Define and track system and perception performance KPIs including reliability, latency, availability, robustness, scalability, confidence calibration, and operational performance.
  • Ensure systems perform reliably in challenging real-world operating environments, including dynamic obstacles, environmental variability, sensor degradation, and adverse conditions.
  • Partner with safety engineering teams to identify hazards, analyze failure modes, and support FMEA, fault injection testing, and degraded-mode operations.
  • Establish monitoring, diagnostics, observability, and health assessment strategies to ensure safe and reliable operation.
  • Drive continuous improvement through field data analysis, root-cause investigations, corrective actions, and iterative product enhancements.

Customer & Partner Engagement
  • Engage with customers, partners, and industry stakeholders to understand use cases, operational requirements, and emerging market needs.
  • Support pilots, demonstrations, proof-of-concept activities, and customer escalations.
  • Communicate technical capabilities, limitations, risks, and trade-offs clearly to both technical and non-technical audiences.
  • Incorporate customer feedback and field learnings into product strategy, roadmap planning, and engineering priorities.

Basic Qualifications:
  • Bachelor's or Master's degree in Computer Science, Electrical/Computer Engineering, Systems Engineering, or a related technical field.
  • 10+ years of experience developing embedded systems for robotics, automotive, consumer electronics, or related products.
  • 3+ years of engineering leadership and people management experience leading systems and software development teams.
  • Proven experience managing, mentoring, and developing high-performing engineering organizations.
  • Strong technical expertise in systems engineering, embedded software, and product development best practices.
  • Experience leading cross-functional development across hardware, software, systems, safety, and product management teams.
  • Strong understanding of system architecture, sensor integration, and software platforms.
  • Proven ability to drive end-to-end ownership, technical execution, roadmap planning, and team accountability.
  • Demonstrated success resolving complex technical challenges and delivering products on schedule and at scale.
  • Strong communication, collaboration, and stakeholder management skills.
  • Experience building engineering roadmaps, resource plans, and organizational capabilities aligned with business objectives.
  • Track record of fostering a culture of engineering excellence, continuous improvement, accountability, and talent development.

Preferred Qualifications:
  • Experience with robotics software frameworks and middleware, including ROS and ROS 2.
  • Familiarity with modern software development methodologies, including Agile, CI/CD, automated testing, and DevOps practices.
  • Working knowledge of perception, sensor processing, computer vision, and machine learning technologies used in autonomous systems.
  • Experience deploying and managing ML-based perception systems in production environments, including safety-relevant or human-adjacent applications.
  • Experience optimizing software and ML inference workloads on embedded compute platforms, GPUs, NPUs, DSPs, or other hardware accelerators under real-time constraints.
  • Experience with system architecture, systems engineering, requirements analysis, and Model-Based Systems Engineering (MBSE).
  • Familiarity with industry standards and processes such as Automotive SPICE, ISO 26262, functional safety, and robotics safety-critical system development.
  • Experience with cybersecurity principles and secure embedded system design, including encryption, TLS, wireless communication security, and network protection mechanisms.
  • Familiarity with microprocessor- and DSP-based hardware architectures, embedded software platforms, and hardware/software integration.
  • Experience with embedded communication interfaces and protocols.
  • Experience with requirements management processes and tools such as Polarion, DOORS, or equivalent platforms.
  • Proven track record of translating customer requirements into production-ready products and engineering solutions.
  • Experience working in startup, incubation, or high-growth environments requiring strong ownership, adaptability, and comfort operating in ambiguity.

Traits we seek:
  • Curiosity-driven problem solvers who investigate deeply and think systemically.
  • Confident leaders who empower teams, set direction, and earn trust.
  • Hands-on learners with an experimental, builder mindset.
  • Resilient thinkers who see challenges as opportunities to learn and improve.

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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