Purple Lemon Recruitment Ltd
Purple Lemon Recruitment Ltd is hiring: Visual SLAM Engineer in San Jose
Purple Lemon Recruitment Ltd, San Jose, CA, United States, 95196
Visual SLAM / Sensor Fusion Engineer - Autonomous Systems | San Jose, CA |
We are recruiting for an innovative company at the forefront of autonomous technology in agriculture. This organization is revolutionizing farming by developing advanced robotic machinery capable of navigating complex, GPS-denied environments. Their solutions integrate cutting-edge Visual SLAM and sensor fusion technologies to deliver precise, autonomous operation in challenging conditions.
This is a fully onsite role based in San Jose, CA, offering a competitive salary in the range of $180,000 - $230,000 per year, depending on experience.
About the Role
As a Visual SLAM / Sensor Fusion Engineer, you will develop and optimize state-of-the-art algorithms to enable precise localization and mapping for autonomous vehicles. You'll work with multidisciplinary teams to integrate perception, navigation, and control systems, ensuring seamless operation in dynamic, real-world environments.
Key Responsibilities
•Design and implement Visual SLAM algorithms for real-time localization and mapping.
•Develop and integrate sensor fusion solutions combining data from cameras, IMUs, LiDAR, and other sensors.
•Optimize algorithms for real-time performance and robust operation in GPS-denied environments.
•Create scalable systems capable of handling large, dynamic outdoor environments with variable terrain and conditions.
•Collaborate with hardware and software teams to ensure seamless system integration.
•Conduct testing and validation in simulated and real-world field environments.
•Debug, optimize, and enhance system performance for edge cases and long-term reliability.
•Document methodologies, findings, and performance metrics for internal use and external stakeholders.
What We're Looking For
•5+ years of experience in Visual SLAM, sensor fusion, or related fields, with a focus on autonomous systems.
•Proficiency in C++ and Python for developing real-time robotics applications.
•Strong understanding of state estimation, multi-view geometry, and sensor calibration.
•Hands-on experience with SLAM frameworks (e.g., ORB-SLAM, RTAB-Map, or GTSAM) and sensor fusion libraries.
•Expertise in integrating and optimizing data from cameras, LiDAR, and IMUs.
•Familiarity with ROS or ROS2, and experience deploying solutions in robotics platforms.
•Proven ability to debug and optimize real-time systems for performance and reliability.
Preferred Skills
•Background in GNSS-denied navigation and mapping.
•Experience with agricultural, off-road, or other autonomous vehicle platforms.
•Familiarity with machine learning techniques applied to perception and localization.
•Knowledge of functional safety standards (e.g., ISO 26262).
Why Join Us?
•Work on cutting-edge autonomous systems that directly impact a critical industry.
•Collaborate with a passionate, innovative team solving real-world challenges.
•Competitive salary and growth opportunities in a high-energy, execution-oriented environment.
If you're excited about leveraging your expertise in Visual SLAM and sensor fusion to drive the future of autonomous systems, apply now!
#VisualSLAM #SensorFusion #Robotics #AutonomousVehicles #SLAM #ROS2 #Engineering #SanJose #AgTech #NowHiring
We are recruiting for an innovative company at the forefront of autonomous technology in agriculture. This organization is revolutionizing farming by developing advanced robotic machinery capable of navigating complex, GPS-denied environments. Their solutions integrate cutting-edge Visual SLAM and sensor fusion technologies to deliver precise, autonomous operation in challenging conditions.
This is a fully onsite role based in San Jose, CA, offering a competitive salary in the range of $180,000 - $230,000 per year, depending on experience.
About the Role
As a Visual SLAM / Sensor Fusion Engineer, you will develop and optimize state-of-the-art algorithms to enable precise localization and mapping for autonomous vehicles. You'll work with multidisciplinary teams to integrate perception, navigation, and control systems, ensuring seamless operation in dynamic, real-world environments.
Key Responsibilities
•Design and implement Visual SLAM algorithms for real-time localization and mapping.
•Develop and integrate sensor fusion solutions combining data from cameras, IMUs, LiDAR, and other sensors.
•Optimize algorithms for real-time performance and robust operation in GPS-denied environments.
•Create scalable systems capable of handling large, dynamic outdoor environments with variable terrain and conditions.
•Collaborate with hardware and software teams to ensure seamless system integration.
•Conduct testing and validation in simulated and real-world field environments.
•Debug, optimize, and enhance system performance for edge cases and long-term reliability.
•Document methodologies, findings, and performance metrics for internal use and external stakeholders.
What We're Looking For
•5+ years of experience in Visual SLAM, sensor fusion, or related fields, with a focus on autonomous systems.
•Proficiency in C++ and Python for developing real-time robotics applications.
•Strong understanding of state estimation, multi-view geometry, and sensor calibration.
•Hands-on experience with SLAM frameworks (e.g., ORB-SLAM, RTAB-Map, or GTSAM) and sensor fusion libraries.
•Expertise in integrating and optimizing data from cameras, LiDAR, and IMUs.
•Familiarity with ROS or ROS2, and experience deploying solutions in robotics platforms.
•Proven ability to debug and optimize real-time systems for performance and reliability.
Preferred Skills
•Background in GNSS-denied navigation and mapping.
•Experience with agricultural, off-road, or other autonomous vehicle platforms.
•Familiarity with machine learning techniques applied to perception and localization.
•Knowledge of functional safety standards (e.g., ISO 26262).
Why Join Us?
•Work on cutting-edge autonomous systems that directly impact a critical industry.
•Collaborate with a passionate, innovative team solving real-world challenges.
•Competitive salary and growth opportunities in a high-energy, execution-oriented environment.
If you're excited about leveraging your expertise in Visual SLAM and sensor fusion to drive the future of autonomous systems, apply now!
#VisualSLAM #SensorFusion #Robotics #AutonomousVehicles #SLAM #ROS2 #Engineering #SanJose #AgTech #NowHiring