Embedded Software Engineer (Robotics)

Job Title: Senior Autonomous Software Engineer (Robotics)

Location: Indiana (Onsite)

Job Summary

STAFFXPERT LLC is seeking a Senior Autonomous Software Engineer (Robotics) on behalf of our client in West Lafayette, Indiana. This role involves leading the development of advanced software systems for autonomous robotic platforms, with a strong focus on real-time sensor fusion, navigation algorithms, and scalable deployment pipelines. The ideal candidate will play a key role in designing high-performance systems that enable reliable, real-world autonomous operations.

Key Responsibilities

• Design and implement real-time algorithms for sensor fusion using data from cameras, LiDAR, and other sensors

• Develop and optimize SLAM (Simultaneous Localization and Mapping) solutions for autonomous navigation

• Architect and maintain CI/CD pipelines for automated testing, integration, and deployment to edge systems

• Build and enhance multi-threaded, high-performance software systems

• Design scalable APIs to support efficient data flow across complex system architectures

• Collaborate with cross-functional teams including robotics, hardware, and machine learning engineers

Required Qualifications

• 8+ years of experience in robotics, autonomous systems, or related fields (or Master's degree with 6+ years of experience)

• Expert-level proficiency in modern C++, including multithreaded application development

• Strong programming skills in Python

• Hands-on experience with SLAM algorithms using LiDAR and/or camera-based systems

• Solid foundation in 3D geometry, kinematics, and applied mathematics/statistics

• Experience with CI/CD tools (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines)

• Proficiency in Docker or containerized deployment environments

• Strong experience with Git and Agile development practices

Preferred Qualifications

• Experience with computer vision and deep learning models

• Proficiency in PyTorch or similar frameworks

• Background in sensor systems, detection technologies, or defense-related applications

• Experience deploying machine learning models to edge devices