Senior Autonomous Software Engineer (Robotics)
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Job Location:
West Lafayette, IN - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Masters 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.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
