1

Night Shift Robotics Engineer Localization Jobs in Linden, NJ

Regular Night Shift hours shall be 8 hrs/day from 5pm to 3 am, 5 days/week. During the scheduled ... Knowledge and experience in performing inspection and resident engineering activities in active ...

next page

Showing results 1-20

Night Shift Robotics Engineer Localization information

See Linden, NJ salary details

$30K

$109.1K

$174.6K

How much do night shift robotics engineer localization jobs pay per year?

As of Aug 26, 2026, the average yearly pay for night shift robotics engineer localization in Linden, NJ is $109,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $131,200.00 per year, depending on experience, location, and employer.

What does a night shift robotics engineer localization do?

A Night Shift Robotics Engineer specializing in Localization is responsible for ensuring that robots can accurately determine their position and orientation within a given environment during overnight hours. This involves working with sensors, mapping algorithms, and navigation systems to help robots move and operate autonomously. Night shifts are often required in facilities that operate 24/7, such as warehouses, manufacturing plants, or research labs. The role also includes monitoring robotic systems, troubleshooting localization issues, and performing maintenance or updates as needed during off-peak hours.

What are some common challenges faced by night shift robotics engineer localization professionals, and how are they typically addressed?

Night Shift Robotics Engineer Localization professionals often encounter challenges such as troubleshooting localization errors in real-time with limited support staff available, maintaining high system uptime during off-peak hours, and ensuring seamless handovers with the day team. To address these, clear documentation practices, robust remote support protocols, and regular communication with cross-functional teams are essential. Additionally, night shift engineers often develop strong problem-solving skills and autonomy, which are highly valued for career advancement within robotics and automation fields.

What are the key skills and qualifications needed to thrive as a night shift robotics engineer localization, and why are they important?

A Night Shift Robotics Engineer in Localization requires strong proficiency in robotics systems, localization algorithms (such as SLAM), and a relevant engineering degree or equivalent experience. Familiarity with tools like ROS (Robot Operating System), sensor fusion frameworks, and programming languages like Python or C++ is commonly expected. Excellent problem-solving skills, attention to detail, and the ability to work independently during off-hours are crucial soft skills for this role. These competencies ensure reliable robot operation, effective troubleshooting, and smooth system performance during night shifts when immediate team support may be limited.

What is the difference between Night Shift Robotics Engineer Localization vs Night Shift Robotics Engineer Perception?

AspectNight Shift Robotics Engineer LocalizationNight Shift Robotics Engineer Perception
Required CredentialsBachelor's in Robotics, Electrical, or Mechanical Engineering; experience with localization algorithmsBachelor's in Robotics, Computer Vision, or related field; experience with perception systems
Work EnvironmentRobotics labs, manufacturing plants, or warehouse settings during night shiftsSimilar environments focusing on sensor data processing and object detection at night
Employer & Industry UsageAutonomous vehicle companies, logistics, and warehouse automationAutonomous vehicles, robotics research, and industrial automation

While both roles involve working with robotics during night shifts, Localization engineers focus on determining the robot's position within an environment, whereas Perception engineers work on interpreting sensor data to identify objects and surroundings. Both roles require similar technical backgrounds but differ in their core focus areas within robotics systems.

Staff Software Engineer, Localization

AeroVect

New York, NY โ€ข On-site, Remote

Full-time

Re-posted 8 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