NEWPosted 3 hours ago

Job ID: JOB_ID_7248

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.

Special Requirements

Visa: GC, GC EAD, H4 EAD, USC. Interview modes: Not specified. Domain restrictions: Defense or Detection Engineering technologies preferred.


Compensation & Location

Salary: $70 – $94 per year (Estimated)

Location: West Lafayette, IN


Recruiter / Company – Contact Information

Email: a.gupta@rulesiq.com


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