Robotics Software Engineer

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.

• $200,000- $400,000

Responsibilities:

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 toolchains
• Validate calibration accuracy across diverse environments and over time

Localization & State Estimation

• 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

Motion Planning & System Integration

• 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

Machine Learning & Advanced Methods

• 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

System Performance & Validation

• 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

Cross-Functional Collaboration

• 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

Required Qualifications:

• Bachelors or Masters 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 transformations

Preferred Qualifications:

• Experience with SLAM, VIO, and multi-sensor fusion
• Familiarity with robot trajectory optimization and motion planning systems
• Experience applying machine learning to robotics problems
• Hands-on experience with neural drift learning or learning-based localization approaches
• Familiarity with SenCAN or similar calibration frameworks
• Experience with GTSAM, Ceres Solver, ROS

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

What Success Looks Like:

• Highly accurate and automated sensor calibration pipelines
• Robust localization and robot trajectory estimation in complex environments
• Strong integration with motion planning systems
• Measurable improvements via machine learning and neural drift learning techniques

The compensation range for this position is $200,000 - $ 400,000 depending on expereince level.
If you meet the required qualifications and are interested in this role, please apply today.

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