SLAM Engineer, Calibration, Mapping, Localization

🕒 July 2

🏄 California – Remote

🏄 California – Remote

💵 $168k - $247k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🌎 Translator / Interpreter

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DoorDash

WebsiteLinkedInAll Job Openings

10,000+ employees

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

Food & Beverage • Logistics • eCommerce

DoorDash is a leading food delivery service that connects customers with local businesses and restaurants. By empowering local economies, DoorDash facilitates the growth and success of restaurants and retailers, offering a flexible work environment for its employees. The company emphasizes innovation and aims to redefine the local commerce experience while providing extensive benefits and opportunities for team members across various career areas.

📋 Description

• Architect and deploy production-grade SLAM systems for large-scale HD maps. • Design and implement robust 3D registration pipelines for real-world, noisy, and large environments. • Develop robust state estimation systems for localization handling real-world challenges. • Partner cross-functionally with perception, hardware, and autonomy teams to deliver tightly integrated solutions.

🎯 Requirements

• B.S., M.S., or PhD. in Computer Science, Robotics or related technical field • 4+ years of industry experience working within the AV, Robotics, embedded systems or equivalent industry. • Experience with C/C++ and Python. • Deep expertise in 3D geometry, spatial reasoning • LiDAR- and/or vision-based 3D registration (ICP variants, feature-based, global registration, loop closure) • Large-scale non-linear optimization • State estimation (EKF/UKF, factor graphs, smoothing and filtering techniques) • Nice to Have: Experience with modern deep learning algorithms and frameworks • Nice to Have: Experience with multi-modal localization (e.g. leveraging lidar, camera, and radar sensors to achieve robust localization).

🏖️ Benefits

• 401(k) plan with employer matching • 16 weeks of paid parental leave • Wellness benefits • Commuter benefits match • Paid time off • Paid sick leave • Medical insurance • Dental insurance • Vision insurance • 11 paid holidays • Disability insurance • Basic life insurance • Family-forming assistance • Mental health program