Software Engineer

Our client is a small growing company based in Pittsburgh, PA that develops software for robotics and autonomous vehicles. They seek a Software Engineer specializing in C++ to build high-performance systems for sensor calibration, localization, and trajectory estimation in autonomous platforms. This role focuses on developing robust, production-grade software that enables accurate positioning and reliable autonomy in real-world environments. You will work at the intersection of robotics, perception, and systems engineering-designing scalable C++ solutions that power core autonomy capabilities such as sensor alignment, multi-sensor fusion, and real-time state estimation. 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 pay range for the role is $200,000 to $400,000 depending on experience level. The client cant does not sponsor at this time they will only consider US Citizens or Green Card holders.

Responsibilities:

Core C++ Systems Development

• Design, develop, and maintain high-performance C++ software for calibration and localization systems
• Implement efficient, scalable modules for real-time robotics applications
• Optimize algorithms for low-latency performance and high reliability in production environments
• Write clean, maintainable, and testable code following modern C++ best practices

Sensor Calibration

• Develop C++ pipelines for intrinsic and extrinsic calibration of sensors (LiDAR, cameras, radar, IMU)
• Build automated calibration workflows for both production deployment and rapid prototyping
• Implement calibration validation, monitoring, and drift detection mechanisms
• Contribute to and extend internal calibration frameworks and toolchains

Localization & State Estimation

• Develop high-performance localization systems using:
  • GNSS/INS fusion
  • Visual-inertial odometry (VIO)
  • LiDAR-based localization
• Implement and optimize multi-sensor fusion algorithms in C++
• Build accurate robot trajectory estimation and tracking systems
• Improve robustness in GPS-denied or dynamic environments

System Integration

• Integrate localization outputs with downstream systems such as perception, motion planning, and control
• Ensure consistent coordinate frames, synchronization, and data flow across the autonomy stack
• Collaborate on system-level architecture and performance tuning

Performance Optimization & Validation

• Profile and optimize CPU and memory usage for real-time systems
• Build tools for system validation, debugging, and performance monitoring
• Perform offline data analysis and replay using recorded sensor data
• Ensure reliability across large-scale deployments

Cross-Functional Collaboration

• Work closely with robotics, hardware, perception, and ML teams
• Support deployment and field teams with debugging and tooling
• Contribute to prototype development and productionization of autonomy features

Basic Qualifications:

• Bachelor's or master's degree in computer science, Robotics, Electrical Engineering, or related field
• 3+ years of professional software development experience
• Strong proficiency in C++ (modern C++11/14/17/20)
• Experience building high-performance, real-time systems
• Solid understanding of:
  • Data structures, algorithms, and systems programming
  • Linear algebra and 3D geometry
  • Multithreading and concurrency
  • Previous experience in robotics or autonomous vehicles is not required.

Preferred Qualifications:

• Experience in robotics, autonomy, or sensor-based systems
• Familiarity with localization, SLAM, or sensor fusion algorithms
• Experience with frameworks and libraries such as:
  • ROS / ROS2
  • GTSAM, Ceres Solver, Eigen
• Exposure to sensor calibration techniques and pipelines
• Experience integrating ML components into C++ systems

Nice to Have:

• Experience with autonomous vehicles, drones, or mobile robotics
• Background in real-time or embedded systems
• Experience with GPU acceleration (CUDA) or performance optimization
• Familiarity with Python for tooling and prototyping
• Experience working on scalable production systems or POC development

What Success Looks Like:

• High-performance, reliable C++ systems deployed in production autonomy stacks
• Accurate and maintainable calibration and localization pipelines
• Efficient real-time processing of multi-sensor data
• Strong collaboration across engineering teams to deliver integrated autonomy solutions

If you meet the required qualifications and are interested in this role, please apply today.



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