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Visual SLAM Engineer Job at Purple Lemon Recruitment Ltd in San Jose

Purple Lemon Recruitment Ltd
San Jose, CA Full Time
POSTED ON 2/19/2025
AVAILABLE BEFORE 5/8/2025

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

    Salary : $180,000 - $230,000

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