Job Description
Robotics & Innovation Engineer Gedeon GRC Consulting - 3.8 Newark, NJ Job Details $120,000 - $135,000 a year 1 day ago Benefits Paid holidays Health insurance Paid time off 401(k) matching Qualifications CAD software Image processing Data Integration (Data management) Engineering testing Computer Science Computer vision Engineering Robotics implementation projects Process improvement Data reporting Mid-level Scalable systems Improving operational efficiency System maintenance Analysis skills Driver's License Bachelor's degree in engineering Doctor of Philosophy Prototype creation Scalability Research data analysis Master's degree in computer science Data visualization Implementing machine learning algorithms AI Master's degree in engineering Cross-functional collaboration Building information modeling (BIM) tools Bachelor's degree in computer science Remote Pilot Certificate Full Job Description Gedeon GRC Consulting is looking for a Robotics & Innovation Engineer to join our firm! The Robotics & Innovation Engineer would support the development and deployment of emerging technologies across the firm's engineering and construction workflows. This role focuses on advancing robotics, sensing systems, data pipelines, and intelligent automation to improve how infrastructure is inspected, analyzed, and delivered. The position operates at the intersection of research and field application, translating new technologies into scalable solutions that enhance productivity, safety, and decision-making across projects.
SALARY RANGE
$120,000 - $135,000 annually, Pay commensurate with experience. LOCATION
Options of Remote, Hybrid (local to the NYC Metro Area) or in office at our Newark, NJ location. TRAVEL:
This position requires travel (less than 50%). BENEFITS
90% Company contribution towards all Health Insurance Plans, 401K Match, PTO, Bonus Potential, 10 Paid Company Holidays, and much more. RESPONSIBILITIES
❖ Support the design, development, and evaluation of robotic and sensor-based systems for applications such as inspection, surveying, mapping, and construction monitoring ❖ Develop and implement data processing and analysis workflows to extract actionable insights from imagery, sensor data, and field-collected datasets ❖ Contribute to the development of automation and AI/ML solutions that improve engineering processes and operational efficiency. ❖ Assist in integrating emerging technologies (e.g., robotics, computer vision, geospatial systems, digital twins) into existing company workflows ❖ Support field deployment, testing, and validation of new tools and systems in real-world project environments. ❖ Collaborate with internal teams to identify opportunities for innovation, process improvement, and technology adoption. ❖ Maintain and improve existing research and deployed systems based on performance, feedback, and evolving project needs. ❖ Contribute to research initiatives, pilot programs, and grant-funded projects, including prototyping and reporting. ❖ Prepare visualizations, models, and reports to communicate findings and support decision-making QUALIFICATIONS
❖ Bachelor's or Master's degree in Engineering, Computer Science, Robotics, or a related field and 5+ or 2+ years professional experience respectively. ❖ Advanced degree (e.g., PhD) with internship, academic project, co-op, or entry-level experience involving programming, process automation, workflow improvement, dataset development, or business technology implementation is preferred but not required. ❖ Experience working on applied technology, research, or field-based engineering projects preferred. ❖ US Driver's License. ❖ FAA Part 107 License is preferred. ❖ Experience or strong interest in robotics systems and field-deployed technologies. ❖ Experience or strong interest in data analysis, automation, or applied AI/ML. ❖ Experience or strong interest in engineering workflows within AEC, infrastructure, or related industries. ❖ Proficiency in Python or similar programming languages. ❖ Proficiency in data processing and visualization tools. ❖ Familiarity with computer vision or image processing. ❖ Familiarity with sensor data integration (e.g., LiDAR, thermal, geospatial data). ❖ Familiarity with robotics software stacks (e.g., ROS or equivalent). ❖ Familiarity with BIM, CAD, or geospatial platforms. ❖ Strong problem-solving and analytical skills. ❖ Ability to work across disciplines and translate technical concepts into practical applications. ❖ Effective communication and collaboration skills.
