8+ years of software engineering experience in robotics, computer vision, autonomous systems, or machine learning
2+ years in a technical leadership role
Expertise in Python and C++; Rust is a plus
Strong background in developing production computer vision systems
Deep knowledge of robotic perception pipelines and sensor calibration
Experience with deploying machine learning models in production
Hands-on experience with frameworks like PyTorch, OpenCV, and CUDA
Familiarity with integrating various perception technologies like LiDAR and RGB-D sensors
Responsibilities
Lead the architecture and development of robotic perception systems
Guide engineers through the software development lifecycle from concept to deployment
Design perception pipelines using computer vision and deep learning
Evaluate and select sensors for perception technologies
Develop AI models for object detection and classification
Enhance system accuracy through sensor fusion and optimization
Conduct code reviews and mentor engineering teams
Benefits
Comprehensive medical, dental, and vision insurance
401(k) plan
Generous PTO and paid holidays
Opportunity to work on cutting-edge AI-powered robotics
Collaborative engineering culture with significant technical ownership
Career growth in a rapidly scaling robotics company
Full Job Description
The Opportunity We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.
This role is ideal for someone who enjoys solving difficult real-world robotics problems-not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field. Required Skills & Experience
8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
Expert programming experience with Python and C++; Rust experience is a plus
Strong experience developing production computer vision systems
Deep understanding of robotic perception pipelines and sensor calibration
Experience building and deploying machine learning models into production environments
Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
Experience working with ROS2 or comparable robotics middleware
Experience deploying AI models on embedded hardware
CUDA optimization and GPU acceleration experience
Experience with high-throughput, real-time vision systems
Familiarity with industrial robotics or warehouse automation
Experience mentoring engineers and conducting architectural reviews
Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
Lead the architecture and development of production robotic perception systems
Guide engineers through the full software development lifecycle from concept through deployment
Design perception pipelines utilizing classical computer vision and deep learning
Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
Develop AI and machine learning models for object detection, segmentation, tracking, and classification
Improve system accuracy through sensor fusion, calibration, and optimization
Design scalable, low-latency perception architectures for real-time robotics applications
Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
Conduct code reviews, mentor engineers, and establish engineering best practices
Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
25% Robotics Perception & Sensor Fusion
20% Software Engineering (Python, C++, Rust)
10% Hardware Integration & Sensor Selection
10% Technical Leadership & Architecture
Daily Responsibilities
50% Hands-On Software Development
25% Technical Leadership & Mentoring
15% Cross-Functional Collaboration
10% System Testing, Validation & Field Debugging
The Offer
Competitive base salary + potential bonus and equity
Comprehensive medical, dental, and vision insurance
401(k)
Generous PTO and paid holidays
Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
Highly collaborative engineering culture with significant technical ownership
Career growth within a rapidly scaling, venture-backed robotics company
Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.
