drjobs Senior SLAM Engineer

Senior SLAM Engineer

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1 Vacancy
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Job Location drjobs

Mountain View, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are looking for the best

As a Senior SLAM Engineer at 42dot you will lead the development of advanced localization and mapping technologies that form the foundation of autonomous driving. Leveraging cuttingedge geometric vision techniques you will design robust SLAM pipelines that fuse data from multiple sensors to estimate the vehicles pose and reconstruct its surroundings in realtime. You will work closely with crossfunctional teams across perception planning and robotics to ensure the seamless integration and deployment of SLAM systems in productionlevel autonomous vehicles.

Responsibilities

    • Design and implement stateoftheart SLAM algorithms for realtime localization and mapping using multimodal sensor inputs (e.g. cameras IMUs GPS wheel encoders).
    • Develop robust online and offline state estimation methods for complex urban and highway environments.
    • Focus on 3D geometric vision problems such as VSLAM VIO SfM and scene reconstruction.
    • Implement robust motion estimation feature matching loop closure and map optimization pipelines.
    • Apply nonlinear optimization and filtering techniques (e.g. bundle adjustment graph SLAM EKF) to maximize system accuracy and robustness.
    • Collaborate with sensor calibration and perception teams to improve system performance and consistency.
    • Evaluate and benchmark system performance using largescale datasets and realworld driving scenarios.
    • Contribute to system integration continuous validation and deployment of SLAM modules on autonomous vehicle platforms.
    • Mentor junior engineers and contribute to technical leadership within the team.

Qualifications

    • PhD degree in computer vision robotics or a related field
    • Minimum of 2 years of industrial or postdoctoral experience in SLAM localization or robotic perception
    • Deep theoretical and practical understanding of SLAM systems 3D geometry and sensor fusion
    • Handson experience with realworld datasets and deployment of SLAM pipelines in field environments
    • Proficiency in modern C and Python with strong software engineering practices
    • Experience with optimization libraries (e.g. g2o Ceres Solver) and robotics frameworks (e.g. ROS)

Preferred Qualifications

    • Experience in largescale autonomous driving or robotics system development
    • Familiarity with sensor modeling and calibration for cameras IMUs GPS and wheel encoders
    • Expertise in realtime performance optimization multithreading and hardware acceleration (GPU SIMD)
    • Contributions to opensource SLAM libraries or publications in toptier conferences (e.g. ICRA CVPR RSS)Experience with mapping infrastructure map maintenance and lifelong localization
    • Strong communication skills and ability to collaborate across multidisciplinary teams

Interview Process

    • Application Review Coding Test 1st Interview 2nd Interview Offer
    • The process may vary by position and is subject to change.
    • Schedule and results will be communicated via the email provided in your application.

Required Experience:

Senior IC

Employment Type

Full-Time

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