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Perception Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: ISEE
Full Time position
Listed on 2026-10-09
Job specializations:
  • Engineering
    Robotics, Research Scientist, AI Engineer (Applied/Software)
  • Research/Development
    Robotics, Research Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: New York

Job duties

  • Provide daily technical and execution guidance on research and development tasks to perception team members. Specifically,
  • Research, design, and develop algorithms for autonomous driving systems to solve challenging problems in ISEE’s Perception and Sensor stack.
  • Prototype and deploy robust perception algorithms on ISEE’s vehicle fleet in areas of:
    Object Detection, Localization and Mapping, Fusion and Multi Object Tracking;
  • Develop systems for multimodal Sensor Fusion and Calibration using multiple grade sensors including but not limited to Cameras, LiDARs, GNSS, IMUs and RaDARs.
  • Invent and design new algorithms, tools, and models in emerging research areas to improve the complex autonomous vehicle systems;
  • Develop simulations for ISEE’s systems and identify discrepancies between virtual and real-world performance for future development and analysis.
  • Contribute novel research ideas and collaborate with team members to conduct research data analysis. Lead the algorithm design discussions to solve technical problems for these systems;
  • Stay up to date with current research in the field of Computer Vision and Pattern Recognition and share relevant research with the team.
  • Manage and supervise the work of other perception team members.
  • Contribute in the recruiting process for perception and software candidates.
Job requirements
  • Master’s degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering or Computer Vision plus 18-month working experience.
  • 18-month working experience must in Machine learning and Sensor Calibration through algorithm development.
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