Robotics Engineer – Perception

Van Kaizen

New York (NY)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Van Kaizen is seeking a Robotics Engineer - Perception to join its fast-moving team in a hybrid office setup in New York City or Philadelphia. The role focuses on perception, mapping, sensor fusion, and SLAM to support scalable robotics for utility field operations.

You'll work with C++ and Python, advance SLAM with LiDAR-based data, and calibrate sensors to perform reliably across diverse conditions. US Persons required for compliance.

Qualifications

  • 5-10 years of experience in perception for robotics.
  • Proficient in C++ and Python.
  • Experience with SLAM and ground-based LiDAR is required.

Responsibilities

  • Drive perception, mapping, sensor fusion and calibration.
  • Lead SLAM development and integrate new sensors.
  • Improve product reliability across operating conditions.
  • Advance sensor fusion to accelerate delivery.
  • Align multi-map data for consistent large-scale scenes.

Skills

C++
Python
SLAM

Tools

LiDAR

Job description

Overview:

Well-funded robotics manufacturing engineer company, is looking for a Robotics Engineer - Perception, to join their rapidly going team. This team is builting robotics and software to help utility companies and their workers in the field!

To note: this is a hybrid role in their office in New York City or Philadelphia, and does require the candidate to be a US Persons (US Citizen or Permanent Resident).

Responsibilities:
  • Drive outcomes across perception, mapping, sensor fusion and calibration that directly contribute to the expansion of the business.
  • Improve the quality and consistency of our product in an increasing breadth of operating conditions.
  • Lead SLAM development including incorporating new sensor evolutions and exploring innovative approaches to improving performance in GPS degraded environments.
  • Accelerate on time to delivery by leveling up our sensor fusion and calibration.
  • Fuse multi-user, multi-session point cloud maps and automating alignment of LiDAR and imagery data to produce consistent large-scale scenes.
Qualifications:
  • 5-10 years of experience in perception for robotics
  • Comfortable in a fast-pace and high-ownership environment. You're excited to collaborate, but also comfortable developing your own opinions.
  • Proficient in C++ and Python
  • Extensive experience developing SLAM solutions, ideally involving ground-based LiDAR
  • Experience with extrinsic and intrinsic sensor calibration, including automated data-driven calibration
  • Prior experience with ultra-wide angle cameras is a nice-to-have
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