job summary:
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.
location: West Lafayette, Indiana
job type: Contract
salary: $80 - 102 per hour
work hours: 9am to 5pm
education: Bachelors
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.
qualifications:
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.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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