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Added 1 min ago
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Kelly Services

Lead Perception Engineer

Woburn, MA, United States

$160000 - $200000

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Job details

Pay: $160000 - $200000
Posting language: English
Posted: Nov 12, 2026

Original job description

$160000 - $200000

Lead Perception Engineer

An innovative robotics startup is seeking a Lead Perception Engineer to drive the development of advanced computer vision and AI-powered perception systems that are transforming the automotive service industry. This full-time, onsite opportunity focuses on building intelligent vision systems for next-generation robotic tire-changing and wheel-balancing technology. You'll work with cutting-edge technologies including Python, C++, Rust, PyTorch, OpenCV, PCL, Open3D, CUDA, LiDAR, RGB-D cameras, deep learning, and 3D computer vision to help robots accurately perceive, interpret, and interact with their physical environments.

This is an exciting opportunity for a technically strong perception engineer who wants to combine hands-on development with technical leadership. You'll lead the perception engineering team while remaining actively involved in architecture, algorithm development, model training, experimentation, and real-world deployment. One of the biggest advantages of this opportunity is access to proprietary inspection imagery collected directly from real automotive service environments, providing a unique data advantage that traditional robotics companies and public datasets cannot easily replicate.

Required Skills & Experience

Master's or PhD in Computer Science, Computer Vision, Machine Learning, or a related field, or equivalent technical experience.
8–10 years of professional software engineering experience focused on robotics and computer vision applications.
2–3+ years of experience in a technical leadership capacity, such as Team Lead, Tech Lead, or technical mentor.
Proven experience designing, developing, testing, and deploying computer vision and perception systems for robotics or industrial automation.
Expert-level proficiency in Python, C++, and/or Rust, with experience developing production-quality software for autonomous systems.
Strong experience with AI/ML frameworks such as PyTorch and computer vision libraries such as OpenCV, PCL, Open3D, or CUDA.
Experience developing, training, optimizing, and deploying machine learning models.
Strong understanding of deep learning architectures, including CNNs, ResNet, LSTMs, Transformers, and Vision Transformers (ViT).
Experience with multimodal AI models, including Vision-Language Models (VLMs) and Vision-Language-Action (VLA) models.
Strong foundation in robotics, including kinematics, sensor calibration, perception pipeline design, and system architecture.
Deep understanding of 3D geometry, multi-view geometry, filtering, tracking, and real-time computer vision.
Experience designing and optimizing high-throughput, low-latency perception pipelines.
Ability to evaluate sensor technologies and define system-level testing and validation strategies.
Hands-on experience debugging complex robotic systems and resolving hardware-software integration issues.
Strong technical communication, collaboration, and mentorship skills.

Desired Skills & Experience

Experience developing within the ROS 2 ecosystem.
Experience integrating LiDAR, time-of-flight sensors, stereo cameras, RGB cameras, and RGB-D cameras.
Experience with 3D reconstruction, object detection, classification, tracking, localization, and pose estimation.
Familiarity with synthetic data generation and real-world data collection pipelines.
Experience developing scalable ML training, evaluation, and deployment pipelines.
Background in industrial automation, autonomous systems, robotics startups, or advanced manufacturing.
Experience with sensor fusion and multimodal perception architectures.
Experience deploying computer vision and AI/ML systems in production environments.
Experience leading cross-functional engineering projects from initial concept through field deployment.

What You Will Be Doing Tech Breakdown

Programming: Python, C++, Rust
AI/ML Frameworks: PyTorch
Computer Vision: OpenCV, PCL, Open3D, CUDA
Deep Learning: CNNs, ResNet, LSTM, Transformers, ViT
Multimodal AI: VLMs, VLA Models
Robotics Middleware: ROS 2
Sensors: LiDAR, Time-of-Flight, Stereo, RGB/RGB-D Cameras
3D Computer Vision: 3D Geometry, Multi-View Geometry, Reconstruction
Perception: Detection, Classification, Tracking, Localization, Pose Estimation
ML Engineering: Data Pipelines, Model Training, Evaluation & Deployment
Robotics: Kinematics, Sensor Calibration, System Integration

Daily Responsibilities

Lead the perception engineering team through the full development lifecycle, from initial concept and architecture through implementation, testing, and production deployment.
Define the technical direction and architecture of ATI's perception stack.
Develop classical computer vision and machine learning solutions for object classification, detection, tracking, localization, pose estimation, and 3D reconstruction.
Evaluate, select, and integrate sensing technologies, including LiDAR, time-of-flight sensors, stereo cameras, and RGB/RGB-D cameras.
Build scalable data collection, processing, and evaluation pipelines using real-world and synthetic datasets.
Develop, train, optimize, and deploy deep learning models, including CNNs, Vision Transformers, temporal models, and multimodal approaches.
Design high-throughput, low-latency perception pipelines capable of supporting real-time robotic operations.
Establish performance metrics and lead testing, validation, and sensor calibration to ensure reliable and accurate perception.
Troubleshoot complex perception challenges and hardware-software integration issues through hands-on debugging in the lab, on the shop floor, and at customer sites.
Collaborate with mechanical, systems, mechatronics, robotics, software, simulation, and quality engineering teams.
Establish best practices for software architecture, code quality, testing, and technical documentation.
Mentor engineers and provide technical guidance to support the growth of the perception team.
Continuously improve perception algorithms and systems based on real-world performance data and field feedback.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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More about this job

Skills

Python
C++
Rust
PyTorch
Computer science
Machine learning
Robotics
Leadership
ML
Deep learning
Debugging
Communication skills
Collaboration
Estimating
Apply advanced manufacturing
ICT system integration
Troubleshoot
Mechatronics
Documentation

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Work requirements

Jobs in the United States