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.
Job Responsibilities 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.
Numbers & Facts
Location
West Lafayette, IN
Skills
Agile Programming Methodologiesunmatched
Algorithmsunmatched
Application Programming Interface (API)unmatched
Automationunmatched
C++ Programming Languageunmatched
Computer Visionunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Processingunmatched
Debugging Skillsunmatched
Deep Learningunmatched
DevOpsunmatched
Dockerunmatched
Engineeringunmatched
Gitunmatched
GitHubunmatched
Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR)unmatched