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Trainee Robotics Engineer Localization Jobs in Manhattan, NY

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Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is ... for localization, mapping, path planning, and navigation · Integrate perception, sensing, and ...

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Be Seen First

Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is ... for localization, mapping, path planning, and navigation · Integrate perception, sensing, and ...

New

Trainee Robotics Engineer Localization information

See Manhattan, NY salary details

$32K

$116.5K

$186.5K

How much do trainee robotics engineer localization jobs pay per year?

As of Aug 1, 2026, the average yearly pay for trainee robotics engineer localization in Manhattan, NY is $116,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $140,200.00 per year, depending on experience, location, and employer.

How to become a robotics engineer with no experience?

To become a trainee robotics engineer with no experience, focus on gaining foundational knowledge in robotics, programming, and electronics through online courses or community college classes. Building hands-on skills with robotics kits, programming languages like Python or C++, and understanding control systems can improve your prospects; internships or entry-level positions can provide practical experience.

What engineers make $500,000?

Senior robotics engineers, especially those with specialized skills in automation, AI, or working in high-demand industries, can reach or exceed a $500,000 annual salary. Achieving this level often requires extensive experience, advanced certifications, and leadership roles within organizations or startups focused on cutting-edge technology.

Will AI replace robotics engineer?

AI is expected to augment the work of robotics engineers by automating certain tasks such as programming, data analysis, and system optimization. However, robotics engineers will continue to be essential for designing, troubleshooting, and maintaining complex robotic systems that require human expertise and creativity. The role is likely to evolve rather than be fully replaced by AI.

Is robotics a dead field?

Robotics is an active and growing field with ongoing advancements in automation, AI integration, and sensor technologies. Robotics engineers, including trainees, are in demand across industries such as manufacturing, healthcare, and logistics, making it a viable career path with continuous innovation. Developing skills in programming, control systems, and hardware integration can enhance job prospects in this dynamic field.

What is the difference between Trainee Robotics Engineer Localization vs Trainee Robotics Engineer Control?

AspectTrainee Robotics Engineer LocalizationTrainee Robotics Engineer Control
Required CredentialsDegree in Robotics, Electrical Engineering, or related field; basic programming skillsSimilar educational background; focus on control systems and programming
Work EnvironmentResearch labs, development centers, field testingDevelopment labs, simulation environments, real-time testing
Industry UsageUsed in autonomous navigation, mapping, and sensor integrationApplied in motion control, system regulation, and automation

Both roles involve working with robotics and require similar educational backgrounds. Localization focuses on enabling robots to understand their position in space, while control emphasizes managing robot movements and behaviors. The choice depends on whether the focus is on positioning and mapping or on controlling robot actions.

What are the most commonly searched types of Robotics Engineer Localization jobs in Manhattan, NY? The most popular types of Robotics Engineer Localization jobs in Manhattan, NY are:

Staff Software Engineer, Localization

AeroVect

New York, NY • On-site, Remote

Full-time

Re-posted 13 days ago


Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
  • Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
  • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
  • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
  • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
  • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
  • Deploy, test, and iterate using data from real autonomous operations

You Have
  • 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
  • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
  • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
  • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
  • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
  • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
  • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field

We Prefer
  • MS or PhD with a focus on localization, state estimation, or calibration
  • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
  • Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
  • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
  • Track record of taking an autonomous system toward driverless operation