Senior Robot Engineer

MeeBoss; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

MeeBoss is seeking a robotics perception engineer to own the perception pipeline from detection and tracking to sensor fusion, deploying models to embedded systems and collaborating with planning and control teams.

You will work with camera, LiDAR, and IMU data, building robust, real-time perception pipelines and contributing to environment modeling, pose estimation, and calibration tasks across real robotic platforms.

Qualifications

• 3+ years of industry experience in AV, ADAS, or general robotics perception.
• Experience shipping real-time camera and LiDAR sensor fusion for dynamic, human-in-the-scene environments.
• Production deployment experience using TensorRT or ONNX to embedded inference systems.
• Proficiency in C++ and Python.
• Bachelor’s degree or higher in a related field.
• Confident use of ROS 2 in production robotics work.
• Experience applying deep learning frameworks such as PyTorch or TensorFlow for object detection and segmentation.
• Experience applying sensor fusion techniques across real robotic platforms.
• Knowledge of camera, LiDAR, and IMU calibration, time synchronization, and rigid body dynamics.
• Familiarity with multi-object tracking, bird eye view perception, occupancy networks, or semantic segmentation.

Responsibilities

• Develop models and algorithms to detect, classify, and track objects using camera, LiDAR, and sonar data.
• Build environment models of static scenes and fuse camera and LiDAR data into robust, real-time perception pipelines.
• Develop and integrate pose estimation models for people, wheelchairs, and other relevant objects.
• Implement sensor calibration, time synchronization, and coordinate frame transformations.
• Evaluate perception performance using real-world data, simulation, and offline benchmarks.
• Collaborate with planning, control, localization, and systems teams to successfully integrate perception outputs.
• Track advances in AI, sensor fusion, and robotics to continuously improve perception capabilities.

Job description

MeeBoss is sharing this active opportunity on behalf of the hiring company. This role focuses on developing models and algorithms that enable robots to perceive and understand real-world, human-centric environments.

The position involves owning the perception pipeline from detection and tracking to sensor fusion and deployment on real robotic platforms, while collaborating closely with planning, control, localization, and systems teams.

Job title

Company

MeeBoss

Location

San Jose, CA

Why this role

• Own the end-to-end perception pipeline, including detection, tracking, and sensor fusion.
• Deploy models to embedded inference systems and integrate outputs with planning and control teams.
• Work with real-world data, simulation, and offline benchmarks to evaluate and improve perception capabilities.

What you will do

• Develop models and algorithms to detect, classify, and track objects using camera, LiDAR, and sonar data.
• Build environment models of static scenes and fuse camera and LiDAR data into robust, real-time perception pipelines.
• Develop and integrate pose estimation models for people, wheelchairs, and other relevant objects.
• Implement sensor calibration, time synchronization, and coordinate frame transformations.
• Evaluate perception performance using real-world data, simulation, and offline benchmarks.
• Collaborate with planning, control, localization, and systems teams to successfully integrate perception outputs.
• Track advances in AI, sensor fusion, and robotics to continuously improve perception capabilities.

What we are looking for

• 3 or more years of industry experience in AV, ADAS, or general robotics perception, with a minimum of 2.5 years of post-degree industry experience.
• Experience shipping real-time camera and LiDAR sensor fusion for dynamic, human-in-the-scene environments.
• Production deployment experience using TensorRT or ONNX to embedded inference systems.
• Proficiency in C++ and Python.
• Bachelor’s degree or higher in a related field.
• Confident use of ROS 2 in production robotics work.
• Application of deep learning frameworks such as PyTorch or TensorFlow for object detection and segmentation models.
• Application of sensor fusion techniques across real robotic platforms.
• Knowledge of camera, LiDAR, and IMU calibration, time synchronization, and rigid body dynamics.
• Familiarity with multi-object tracking, bird eye view perception, occupancy networks, or semantic segmentation.

About MeeBoss

MeeBoss helps job seekers and hiring teams make direct, relevant career connections.