Senior Autonomous Software Engineer (Robotics
Job in
West Lafayette, Tippecanoe County, Indiana, 47906, USA
Listed on 2026-08-05
Listing for:
RIT Solutions
Full Time
position Listed on 2026-08-05
Job specializations:
-
Software Development
Robotics, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Job Description & How to Apply Below
Senior Software Engineer
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.
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.
- Dev Ops & Infrastructure: Hands-on expertise with modern CI/CD pipelines (Git Hub Actions, Git Lab CI, Bitbucket Pipelines) and containerization technologies (Docker) for edge deployment.
- Version Control: Advanced proficiency with Git and collaborative, agile development workflows.
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.
Position Requirements
10+ Years
work experience
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