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Machine Learning Engineer, 3D Vision&Localization
Bot Auto
- United States
- United States
Über
At
Bot Auto , you'll work on cutting-edge autonomous technologies that redefine how self-driving vehicles perceive and navigate the world. You'll collaborate with experts in AI, mapping, and robotics to shape the next generation of intelligent mapping systems. You Will Be part of a multidisciplinary team of research scientists and engineers using an
AI-first approach
to enable safe self-driving at scale. Design and develop advanced SLAM systems
to create, automate, and optimize large-scale 3D map-building pipelines for autonomous trucking environments. Implement robust, precise, and real-time onboard state estimation algorithms
capable of maintaining accuracy and robustness under challenging conditions. Build and refine deep-learning-based observation models
that enable resilient perception and localization performance across diverse and complex real-world scenarios. Integrate and validate localization and mapping solutions
across onboard and offline systems, ensuring scalability, efficiency, and long-term operational stability. Collaborate cross-functionally
with perception, planning, control, and systems teams to align mapping and localization outputs with broader autonomy goals. Required Qualifications Master's or PhD in
Robotics, Computer Science, Electrical Engineering , or a related field. Strong background in
robotics, simultaneous localization and mapping (SLAM), or 3D vision
theory and practice. In-depth knowledge and extensive experience in
deep learning, computer vision,
and modern
transformer architectures . Demonstrated experience implementing
SLAM/localization/3D vision systems
in camera-based or LiDAR-based domains (or both) in real-world environments. Solid software engineering skills in
C++ and Python . Experience with
sensor fusion
involving LiDAR, cameras, IMU, and GNSS/RTK. Strong quantitative foundation in
linear algebra, probability, statistics, estimation theory, and optimization . Comfortable working in a
fast-paced, multi-disciplinary autonomy environment
with a hands-on, problem-solving mindset. Excellent communication skills and the ability to
collaborate effectively
across teams. Preferred Qualifications Publications
in SLAM, computer vision, or robotics. Experience in the
autonomous vehicle industry , particularly with on-road or fleet-scale systems. Experience building and operating
mapping infrastructure : large-scale map creation and updates, change detection, versioning, and map-vehicle alignment. Experience developing localization systems for
GNSS-challenged or dynamically changing environments. Familiarity with
cloud platforms
and
distributed data pipelines
for large-scale autonomy data processing.
Sprachkenntnisse
- English
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