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 are not able to sponsor at this time - only US Citizens or Green Card holders will be considered.

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 field3+ 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 / ROS2GTSAM, 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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