Perception Engineer

Stealth Robotics Start-up | Fresh Funding | Scaling Up

Perception Engineer

💰 $140,000 - $200,000 Equity

📍 Pittsburgh, PA

We’re working with a fast-growing robotics start-up that has just closed a Series A funding round and is now expanding its world-class engineering team. Backed by top-tier investors, this company is building the next generation of autonomous robotic systems designed for dynamic, unstructured environments. They are now looking for a Perception Engineer to help develop and deploy cutting-edge vision and sensor fusion algorithms that power real-world autonomy.

Why You Should Be Excited

Shape the perception stack - contribute to the development of real-time, multi-modal sensor fusion systems.

Solve real-world autonomy challenges - work on complex problems in SLAM, sensor calibration, and scene understanding.

Collaborate with world-class engineers - join a highly skilled team solving some of the toughest robotics problems.

The Challenge

The team is developing a state-of-the-art perception system that enables autonomous robots to understand and navigate their environments in real time. As a Perception Engineer, you will work on sensor fusion, SLAM, object detection, and deep learning-based scene understanding. Your algorithms will directly impact the robot’s ability to operate autonomously in GPS-denied and dynamically changing settings.

Roles & Responsibilities

• Develop robust multi-sensor perception algorithms integrating LiDAR, cameras, radar, and IMU.
• Build and optimize SLAM, object detection, and scene segmentation pipelines for real-time deployment.
• Implement state estimation and sensor fusion techniques (e.g., Kalman Filters, Factor Graphs) to improve robot localization.
• Work with deep learning models for semantic segmentation, object tracking, and depth estimation.
• Collaborate with software, planning, and controls teams to ensure seamless perception integration into robotic autonomy stacks.
• Optimize perception algorithms for real-time performance on embedded and edge computing hardware.
• Contribute to research, prototyping, and deployment of next-generation perception architectures.

Key Skills & Experience

• 3 years’ experience in computer vision, sensor fusion, or robotic perception.
• Strong background in SLAM, multi-sensor fusion, and probabilistic state estimation.
• Proficiency in C and Python, with experience in ROS2, OpenCV, PCL, or similar libraries.
• Deep learning experience (PyTorch, TensorFlow) for object detection and scene understanding.
• Experience with LiDAR, radar, and vision-based perception systems.
• Understanding of real-time processing and optimization techniques for embedded or edge hardware.
• M.S./Ph.D. in Robotics, Computer Science, or related field (or equivalent industry experience).

Benefits

• Equity options (Own a meaningful stake in what you’re building)
• Health, Dental & Vision Insurance
• Hybrid work flexibility
• Annual learning & development stipend
• Top-tier hardware & software tools provided
• Flexible PTO

If you’re ready to develop the future of robotic perception and push the boundaries of real-world autonomy, send over your resume to apply today!