Senior Autonomous Software Engineer (Robotics)

Job Title: Senior Software Engineer - Autonomous Robotics & Sensor Fusion

Location: West Lafayette, IN (Onsite) Duration: 12-Month Contract (Jan 2026 – Jan 2027) Standard Hours: 40.00 / week

Job Summary: Teledyne FLIR is seeking a highly experienced Senior Software Engineer to lead the advancement of a rapidly maturing software stack on an autonomous robotic platform. You will serve as a key technical contributor within an interdisciplinary team, focusing on the real-time integration of advanced sensors (cameras, LiDAR) to drive autonomous decision-making. You will also architect and maintain robust automated testing and evaluation CI/CD pipelines to guarantee flawless software performance prior to edge-compute field deployments.

Primary Duties and Responsibilities:

• Algorithm Engineering: Architect, develop, and deploy highly efficient, real-time algorithms to ingest, fuse, and process data from diverse sensor arrays for autonomous robotic navigation.
• CI/CD & Automation: Lead the development, maintenance, and scaling of robust CI/CD pipelines to automate dependency provisioning, rigorous software testing, and seamless deployment to edge devices.
• System Integration: Design, utilize, and extend scalable APIs to guarantee accurate and high-speed data propagation across complex, multi-threaded system architectures.

Required Skills & Qualifications:

• Experience: 8+ years of advanced software engineering experience in robotics, autonomous systems, or a highly related field (or Master’s Degree with 6+ years of specialized experience).
• Core Programming: Expert-level proficiency in modern C++ (including designing and debugging complex multithreaded applications) and Python.
• Robotics & Navigation: Deep, proven experience implementing and deploying SLAM (Simultaneous Localization and Mapping) algorithms using cameras and/or LiDAR.
• Mathematics: Strong foundational knowledge in applied mathematics and statistics, specifically related to 3D spatial mapping and kinematic modeling.
• DevOps & Infrastructure: Hands-on expertise with modern CI/CD pipelines (GitHub Actions, GitLab CI, Bitbucket Pipelines) and containerization technologies (Docker) for edge deployment.
• Version Control: Advanced proficiency with Git and collaborative, agile development workflows.

Highly Preferred (Bonus) Skills:

• Experience training, optimizing, and deploying computer vision neural networks.
• Proficiency with deep learning frameworks, specifically PyTorch.
• Background working with Defense or Detection Engineering technologies.