Senior Robotics Vision Engineer — SLAM, VIO, Edge AI (On‑Site)

SiMa.ai; San Jose (CA); On-site; USD 176,200 - 281,900; Full time

Benefits offered by this job

Equity

Comprehensive benefits

On-site in San Jose

Job summary

SiMa.ai is seeking a senior Member of Technical Staff to advance robotics and Physical AI on autonomous mobile robots and drones. The role focuses on vision‑based perception, localization, and navigation, deploying on embedded or edge‑compute platforms.

The candidate will contribute to long‑term robotics strategies, mentor engineers, and shape the evolution of perception and SLAM technologies across multiple platforms, with on‑site work in San Jose, CA.

Qualifications

• Master’s or Ph.D. in Robotics, Computer Vision, Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent practical experience.
• 8+ years of experience developing perception, localization, or navigation systems for autonomous robots.
• Strong proficiency in C++, Python, and ROS or ROS 2.
• Deep experience with visual odometry, visual‑inertial odometry, visual SLAM, multi‑view geometry, camera calibration, and sensor fusion.
• Strong foundation in traditional computer vision, including feature detection and matching, optical flow, epipolar geometry, pose estimation, triangulation, and bundle adjustment.
• Experience with deep‑learning‑based computer vision, including object detection, semantic or instance segmentation, depth estimation, tracking, or scene understanding.
• Hands‑on experience with frameworks such as OpenCV, PyTorch, TensorFlow, or equivalent tools.
• Experience deploying vision and AI workloads on embedded Linux or edge‑compute platforms.
• Strong systems integration, debugging, performance optimization, and real‑world deployment experience.

Responsibilities

• Architect and develop vision‑based perception, localization, mapping, and navigation systems for AMRs, drones, and other robotic platforms.
• Develop and integrate visual odometry, visual‑inertial odometry, visual SLAM, sensor fusion, and 3D scene‑understanding pipelines.
• Apply traditional CV and deep‑learning techniques for feature extraction, object detection, segmentation, depth estimation, tracking, and obstacle understanding.
• Optimize and deploy computer vision and AI workloads on embedded and edge‑compute platforms.
• Collaborate with robotics, hardware, AI, and systems teams to validate solutions in simulation, hardware‑in‑the‑loop environments, and real‑world deployments.
• Provide technical leadership, mentor engineers, and contribute to long‑term robotics and Physical AI vision.

Skills

C++

Python

ROS/ROS 2

OpenCV

PyTorch

TensorFlow

Embedded systems

Sensor fusion

Visual odometry

Visual SLAM

Multi-view geometry

Calibration

Deep learning CV

Education

Master’s or Ph.D. in Robotics, Computer Vision, Computer Engineering, Electrical Engineering, CS

Equivalent practical experience

Tools

Gazebo

Isaac Sim

ROS

Linux

Job description

SiMa.ai is seeking a senior Member of Technical Staff to advance robotics and Physical AI on autonomous mobile robots and drones. The role focuses on vision‑based perception, localization, and navigation, deploying on embedded or edge‑compute platforms.

The candidate will contribute to long‑term robotics strategies, mentor engineers, and shape the evolution of perception and SLAM technologies across multiple platforms, with on‑site work in San Jose, CA.