
Job title: AI Engineer – Robotics
Company: Hudson Manpower
Job description: Job Title: AI Engineer – Robotics
Location: Burlington, Massachusetts
Employment Type: Full-TimeJob OverviewAre you ready to architect the future of physical AI? Join a cutting-edge robotics company to lead the design and development of next-gen data, machine learning, and inference infrastructure that powers intelligent robotics. You’ll shape groundbreaking products, mentor top talent, and drive AI integration in real-world robotic systems.Key ResponsibilitiesLead end-to-end data and ML pipeline development for sensor, video, and telemetry data used in real-time robotics and vision systems.Design and implement scalable data infrastructure, including schema management, validation, lineage, and anomaly detection.Integrate edge intelligence and observability for embedded AI systems.Set technical direction, mentor engineers, and align AI architecture with business and product goals.Required Experience10+ years of experience in data infrastructure, ML systems, or full-stack AI engineering at scale.Expertise with Python, Scala, or Java, and streaming frameworks like Spark or Flink.Proficiency with orchestration tools, feature stores, and cloud platforms (AWS, GCP, Azure).Strong foundation in software architecture and embedded AI systems.Experience in robotics, computer vision (CV), or edge deployment preferred.QualificationsHands-on and strategic software development expertise for physical products (robotics or industrial automation).Background in industrial robotics, automation, or manufacturing highly desired.Ability to thrive in a dynamic, fast-paced growth-stage environment.Why This Is a Great OpportunityJoin proven innovators in robotics and automation-leaders trusted by top engineering talent.Drive high-impact product development for automation in traditionally low-tech industries.Competitive package with bonus and equity.High-priority role-swift hiring process for the right candidate.
Expected salary: $180000 – 200000 per year
Location: Burlington, MA
Job date: Wed, 05 Nov 2025 08:59:47 GMT
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