Bot Auto
💼 Unspecified
💻 Other
Job Description
Why Join Us
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,
Please mention the word **GREAT** and tag RMTU3LjEwLjk4LjI3 when applying to show you read the job post completely (#RMTU3LjEwLjk4LjI3). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they’re human.
(Mention “TechJobs360” when applying!)
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Why Join Us
\n
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.
\n
You Will
\n
- \n
- 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.
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\n
\n
\n
\n
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Required Qualifications
\n
- \n
- 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,
Please mention the word **GREAT** and tag RMTU3LjEwLjk4LjI3 when applying to show you read the job post completely (#RMTU3LjEwLjk4LjI3). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they’re human.”, “datePosted”: “2026-01-17”, “validThrough”: “2026-03-03”, “employmentType”: “FULL_TIME”, “hiringOrganization”: {“@type”: “Organization”, “name”: “Bot Auto”}, “jobLocation”: {“@type”: “Place”, “address”: {“@type”: “PostalAddress”, “addressLocality”: “Houston, TX”, “addressCountry”: “US”}}}
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To apply for this job please visit remoteOK.com.