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Robotics Software Engineer
Remote / Online - Candidates ideally in
Pittsburgh, Allegheny County, Pennsylvania, 15201, USA
Listed on 2026-06-07
Pittsburgh, Allegheny County, Pennsylvania, 15201, USA
Listing for:
Solomon Page
Part Time, Remote/Work from Home
position Listed on 2026-06-07
Job specializations:
-
Engineering
Robotics, AI Engineer
Job Description & How to Apply Below
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.
- $200,000- $400,000
Sensor Calibration
- 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 tool chains
- Validate calibration accuracy across diverse environments and over time
- Build high-performance localization systems combining:
- GNSS/INS fusion
- Visual-inertial odometry (VIO)
- LiDAR-based localization
- Learned models using machine learning for robustness
- 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
- 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
- 3D geometry and coordinate…
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