Senior Robotics Engineer | GPS-Denied SLAM & Localization

Haveron James; New York (NY); Hybrid; USD 160,000 - 210,000; Full time

Job summary

Haveron James in New York City is seeking an engineer who has owned localization, mapping and SLAM systems and wants to apply them to real-world robotics problems at scale. Join a small, fast-moving team working on LiDAR SLAM in GPS-degraded environments, automated sensor calibration, and large-scale map building with hybrid work and relocation support.

You'll influence technical decisions and see your work deployed in the field, contributing to production robotics systems in demanding outdoor

Qualifications

• 5+ years in robotics, autonomy, localization, mapping or perception.
• Experience shipping robotics systems into production.
• Strong C++ and Python skills.

Responsibilities

• Own localization, mapping and state estimation systems end-to-end.
• Contribute to production robotics deployments across outdoor environments.
• Collaborate with a small, highly technical team to influence technical decisions.

Skills

C++

Python

Localization

Mapping

State estimation

Tools

LiDAR processing

Job description

Hybrid, New York City (relocation support available)

$160k-$210k base + equity

Built and deployed a LiDAR SLAM system?

The core engineering challenges include SLAM in GPS-degraded environments, automated sensor calibration, and building large-scale LiDAR maps across changing outdoor conditions.

I'm working with a well-funded robotics company solving some of the toughest localization, mapping and sensor fusion challenges in real-world outdoor environments.

Their technology is deployed by teams operating across large-scale critical infrastructure environments. Rather than replacing operators, the autonomy stack helps them work more efficiently, safely and at greater scale.

This is an opportunity to own meaningful robotics problems from concept through deployment. Rather than working on isolated research projects or a small piece of a much larger organisation, you'll help shape the localization, mapping and state estimation systems that sit at the heart of the product.

The team is small, highly technical and moving quickly, giving you the chance to influence technical decisions, tackle genuinely difficult real-world challenges, and see your work deployed in the field.

This isn't a computer vision role.

This is for an engineer who has owned localization, mapping, SLAM or state estimation systems and wants to apply them to real-world robotics problems at scale.

You'll join a small team working on:

• LiDAR SLAM in GPS-degraded environments


• Localization and state estimation


• Automated intrinsic and extrinsic sensor calibration


• Point cloud registration, alignment and mapping


• Multi-session map stitching and large-scale scene reconstruction


• Production robotics systems operating across diverse outdoor conditions

We're particularly interested in engineers who have:

• Built and deployed SLAM systems


• Deep experience in localization, mapping or state estimation


• LiDAR-based perception and point cloud processing expertise


• Strong C++ and Python skills


• Experience shipping robotics systems into production


• 5+ years in robotics, autonomy, localization, mapping or perception

Experience must come from robots operating in unstructured outdoor environments. Experience limited to warehouse AMRs or structured indoor robotics is unlikely to be sufficient.

Especially relevant backgrounds include:

If you've worked on localization, mapping, SLAM, calibration or state estimation systems in the real world, I'd love to speak with you.