Research Engineer / Scientist (SLAM)

World Labs
San Francisco
Workplace: OnsiteFull timeUSD 250,000 - 350,000 annuallyFunction: Research & Scientific (R&D)Experience: 6+ yearsSkills: ["Ownership","Engineering rigor","Collaboration","Experimentation","Problem-solving"]

Design and implement state-of-the-art SLAM systems that enable accurate, robust spatial understanding from real-world sensor data. Build localization and mapping pipelines (pose estimation, loop closure, global optimization), prototype hybrid/classical and learning-based SLAM, and develop scalable state-estimation frameworks using factor graphs and filtering/smoothing. Drive sensor-fusion strategies, analyze failure modes, create evaluation benchmarks, and optimize performance for real-time, production-scale world modeling.

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FursaFursa
World Labs
World Labs
7 months ago

Research Engineer / Scientist (SLAM)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Design and implement state-of-the-art SLAM systems that enable accurate, robust spatial understanding from real-world sensor data. Build localization and mapping pipelines (pose estimation, loop closure, global optimization), prototype hybrid/classical and learning-based SLAM, and develop scalable state-estimation frameworks using factor graphs and filtering/smoothing. Drive sensor-fusion strategies, analyze failure modes, create evaluation benchmarks, and optimize performance for real-time, production-scale world modeling.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and implement modern SLAM systems for visual, visual-inertial, lidar, or multi-sensor real-world environments.
  • •Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure, and global optimization.
  • •Research and prototype learning-based or hybrid SLAM approaches combining classical geometry and modern machine learning.
  • •Build scalable state-estimation frameworks using factor graph optimization plus filtering and smoothing; develop sensor fusion strategies across modalities.
  • •Create evaluation frameworks and benchmarks, analyze failure modes, and optimize real-time performance and compute efficiency across production systems.

Pay and Benefits

Salary: USD 250,000 - 350,000 annually
Equity and Bonus:Equity

Key Requirements

  • •6+ years of experience working on SLAM, state estimation, robotics perception, or related areas.
  • •Strong foundation in probabilistic estimation, optimization, and geometric vision (e.g., bundle adjustment, factor graphs, Kalman filtering).
  • •Deep experience with one or more SLAM paradigms (visual, visual-inertial, lidar, multi-sensor, or hybrid).
  • •Proficiency in Python and/or C++ with hands-on experience building research or production-grade SLAM systems.
  • •Experience with numerical optimization libraries and/or robotics frameworks, plus familiarity with learning-based perception.
Experience:6+ yearsRobotics perceptionComputer visionSpatial intelligence
Skills:OwnershipEngineering rigorCollaborationExperimentationProblem-solving
Tech Stack:SLAMState estimationSensor fusionVisual SLAMVisual-inertialLidarCamerasIMUsDepth sensorsFactor graph optimizationFilteringSmoothingKalman filteringBundle adjustmentGlobal optimizationLoop closurePose estimationNumerical optimizationPythonC++

Company Brief

World Labs
World Labs develops artificial intelligence and machine learning solutions, providing platforms and tools to help organizations build, deploy, and scale AI-driven applications across industries, with a focus on model development, MLOps, and customizable AI services.
Industry: AI & Machine Learning
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