Robotics AI Engineering Manager — Hybrid, Equity

Scion Staffing

Massachusetts

Hybrid

USD 300,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Salary up to 350k
Medical coverage
AI & Robotics leadership
Hands-on engineering
Tech deployment

Job summary

Scion Technology is seeking an experienced Technical Engineering Manager (Physical AI) in the Boston area. This full-time, direct-hire role offers a hybrid schedule in North Reading, MA and leads a team building AI-enabled robotics capabilities.

You will guide initiatives from early development through production, balance innovation with reliability and cost, and mentor a team of AI/robotics engineers while collaborating across functions to deliver deployed solutions.

Qualifications

  • 5+ years in software engineering, robotics, AI/ML
  • Strong robotic perception and AI in physical environments
  • Experience with simulation environments for robotics development
  • Knowledge of multimodal AI for robotics
  • Experience taking concepts to production and supporting field deployments

Responsibilities

  • Own initiatives from definition to deployment
  • Set direction for robotic perception, localization, mapping, and AI capabilities
  • Guide ML integration into production robotics
  • Evaluate technologies and make architecture decisions
  • Manage and develop an AI/robotics engineering team
  • Promote engineering practices and ownership
  • Establish priorities, milestones, resources, and risk plans
  • Ensure reliability in industrial environments and incorporate field feedback

Skills

Robotics leadership
AI in robotics
Project management
Mentoring
Hiring
Cross-functional
Team leadership

Tools

NVIDIA Isaac

Job description

Scion Technology is seeking an experienced Technical Engineering Manager (Physical AI) in the Boston area. This full-time, direct-hire role offers a hybrid schedule in North Reading, MA and leads a team building AI-enabled robotics capabilities.

You will guide initiatives from early development through production, balance innovation with reliability and cost, and mentor a team of AI/robotics engineers while collaborating across functions to deliver deployed solutions.

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