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An autonomy software and services company based in Pittsburgh, PA seeks a Robotics Engineer with specialized skills in Calibration and Localization. The company provides automatic sensor calibration and perception-based localization solutions to the robotics and autonomous vehicle industries. They are a small growing company that has been profitable for the past 5 years with a growing list of customers in the Robotics and Autonomous Vehicle industry. You will provide autonomy software and services for self-driving cars, robots, autonomous vehicles, machines etc. Their software handles sensor calibration so the cars and /or robot can move in their environment. They do this in two ways, 1) on-line services 2) deploy software through Docker and other technologies. Simply put, they create software that autonomous vehicles and robots use to move. They work in a Hybrid environment about 3 days a week in the office but there is flexibility depending on the situation. They will also consider 100% remote work for stars (people with strong backgrounds solving autonomy problems). The founders are very accomplished in the Autonomous Vehicle industry and have created a terrific culture with an excellent work/life balance. The role requires strong programming skills in C++ with some Python experience as well. They seek Calibration / Localization Engineers to develop and scale core systems enabling precise positioning, robot trajectory estimation, and sensor alignment for autonomous platforms. This role bridges perception, motion planning, and state estimation, ensuring robust autonomy performance in real-world environments. The ideal candidate combines expertise in sensor calibration, localization, and machine learning with hands-on experience building reliable systems for production and POC development in autonomy stacks.
Job Responsibility
Develop and maintain advanced sensor calibration pipelines (intrinsic + extrinsic) for LiDAR, cameras, radar, and IMUs
Design automated calibration workflows for production and rapid POC development environments
Implement drift detection and correction strategies, including neural drift learning approaches
Support calibration frameworks such as SenCAN and other internal toolchains
Validate calibration accuracy across diverse environments and over time
Build high-performance localization systems combining GNSS/INS fusion, visual-inertial odometry, LiDAR-based localization, and learned models using machine learning
Develop accurate robot trajectory estimation and tracking systems
Improve performance in GPS-denied and dynamic environments using hybrid (model + ML) approaches
Partner with motion planning teams to ensure localization outputs support safe and efficient motion planning
Integrate localization with downstream systems including perception and control
Validate alignment between robot trajectory, environment understanding, and planning modules
Apply machine learning techniques to improve localization robustness, calibration stability, and drift correction
Explore and implement neural drift learning for long-term autonomy reliability
Work with large-scale sensor datasets to train and evaluate models
Define metrics for calibration accuracy, localization precision, and trajectory stability
Perform offline analysis and real-world validation using logs and simulation
Optimize systems for real-time performance
Collaborate with hardware, perception, and autonomy teams on system design
Support deployment teams with tools and troubleshooting
Contribute to early-stage prototyping and POC development
Requirements
Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field
3+ years’ experience in robotics, autonomy, or related domain
Strong programming skills in C++ and Python
Proven experience with sensor calibration and localization systems
Solid foundation in linear algebra, probability, optimization
Solid foundation in 3D geometry and coordinate transformations
Nice to have
Experience with autonomous vehicles, drones, or mobile robots
Background in real-time systems and deployment at scale
Experience contributing to POC development and rapid prototyping cycles