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Robert Bosch Venture Capital

Venture capital funding deep tech startups

EOL Calibration Algorithm Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeSuzhou, Jiangsu, ChinaNo salary listedIn-person

About the Job

Requirements

  • A master's degree or higher in computer science, automation, electronic information, vehicle engineering, mathematics, control, robotics, or a related major.
  • At least two years of project experience related to computer vision, robotics, autonomous driving, simultaneous localization and mapping, 3D point clouds, or multisensor fusion.
  • Familiarity with camera calibration, coordinate transformations, and 3D geometry fundamentals, including rotation matrices, quaternions, and Euler angles.
  • Familiarity with computer vision and 3D geometry algorithms, including optical flow, feature matching, PnP, RANSAC, homography, vanishing point, ICP, and GICP.
  • Familiarity with nonlinear optimization and optimization frameworks such as Ceres and g2o, and ability to analyze calibration accuracy, robustness, and convergence.
  • Familiarity with C/C++, Python, and Linux development, with ability to implement, debug, and optimize performance.
  • Familiarity with OpenCV, PCL, Eigen, and Ceres, and experience engineering algorithm modules for production deployment.
  • Strong data analysis and issue diagnosis skills, including iterating and optimizing algorithms based on real data, logs, and vehicle test results.

Responsibilities

  • Design, develop, optimize, and deploy intelligent-driving and ADAS multisensor calibration algorithms, including camera intrinsic and extrinsic calibration, camera-to-vehicle calibration, camera-LiDAR joint calibration, multicamera calibration, and end-of-line production calibration.
  • Develop, optimize, and engineer core calibration algorithm modules.
  • Improve calibration algorithm accuracy, robustness, and convergence, and analyze and refine algorithms for real-road and vehicle operating scenarios.
  • Deliver algorithms from data analysis and algorithm development through in-vehicle testing and mass-production deployment.

Desired Qualifications

  • Experience developing intelligent-driving or ADAS mass-production projects.
  • Experience calibrating multiple sensors, such as cameras and LiDAR.
  • Experience with real-vehicle road testing and analysis of calibration issues.
  • Practical experience with AI-assisted programming tools such as GitHub Copilot and OpenAI Codex to improve algorithm development, debugging, and code refactoring efficiency.
  • Experience deploying algorithms on embedded or in-vehicle platforms and optimizing CPU performance.

About the Company

Robert Bosch Venture Capital

Venture capital funding deep tech startups

RBVC (Robert Bosch Venture Capital) is a global venture capital firm that backs early-stage deep tech startups in areas like energy efficiency, medical devices, and virtual/augmented reality. It supports companies with funding and access to Bosch’s network and resources to help them scale and bring innovations to market. Unlike traditional VCs, RBVC may purchase solutions for a proof-of-concept while allowing startups to keep their intellectual property, which speeds up development and lowers upfront costs. The firm earns money through equity investments and the eventual success of its portfolio. RBVC’s goal is to accelerate technological advances across multiple industries by connecting startups with Bosch’s ecosystem, customers (from medical centers to data centers), and global reach.

Company size
201-500
Company stage
Not listed
Total funding
$3.8B
Headquarters
Frankfurt, Germany
Founded
2007

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