Senior Staff Manufacturing Systems Engineer

Agility Robotics

Salem

Hybrid

INR 2,500,000 - 4,000,000

Full time

14 days+
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Job summary

Agility Robotics seeks a Senior Staff Manufacturing Systems Engineer to lead scalable manufacturing system design and deployment. This senior individual contributor will own end-to-end architecture, align with the Director of Operations Engineering, and drive MES, ERP, and test infrastructure improvements for efficiency and quality.

You will mentor engineers across disciplines, support NPI ramp readiness, and champion digital manufacturing initiatives to boost throughput and data-driven decision

Qualifications

  • Bachelor's degree with 12+ years in Manufacturing/Systems Engineering, or Master's with 10+ years, or PhD with 8+ years in related fields.

Responsibilities

  • Define and maintain the end-to-end Manufacturing Systems Architecture, spanning factory automation, data flow, MES systems, ERP integration, test infrastructure, and traceability frameworks.
  • Lead cross-functional integration of mechanical, electrical, software, and automation subsystems into cohesive manufacturing solutions.
  • Architect interfaces between production equipment, test systems, MES, PLM, and ERP platforms, supporting ERP migration and data traceability.
  • Drive system-level readiness for new product introductions (NPI) and ensure ramp readiness and high first-pass yield.
  • Mentor engineers across disciplines, shaping standards, documentation, and verification strategies.
  • Drive digital manufacturing tools like MBSE, digital twins, predictive analytics, and data-driven improvements.

Skills

Technical leadership
Mentorship
Cross-functional collaboration

Education

Bachelor's degree in Engineering
Master's degree in Engineering
PhD in Engineering

Tools

MBSE
Digital twins
Data analytics

Job description

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About Agility Robotics:

Agility Robotics is revolutionizing the way robots interact with the world. Our flagship humanoid robot, Digit, is the first to be sold for deployment in human environments at scale. We are a team of visionary engineers and scientists passionate about building robots that move, adapt, and work alongside people in real-world settings. Agility is committed to creating breakthrough technologies in mobility, dexterity, and human-robot collaboration that make work safer, more productive, and more fulfilling.

About the Role:

The Senior Staff Manufacturing Systems Engineer is a senior individual contributor and senior technical lead within Operations Engineering. Reporting to the Director of Operations Engineering, this role leads the design and implementation of manufacturing system architecture - ensuring that production, test, and automation systems are built to requirements and designed for scalability, quality, and operational efficiency.

Key Responsibilities:
Manufacturing Systems Architecture & Strategy
  • Define and maintain the end-to-end Manufacturing Systems Architecture, spanning factory automation, data flow, MES systems, ERP integration, test infrastructure, and traceability frameworks.
  • Partner with the Director of Operations Engineering to establish long-term strategies for smart factory enablement, digital manufacturing, and system interoperability.
  • Translate business and operational goals into scalable manufacturing system requirements and roadmaps.
  • Project Management: Manages manufacturing schedules, budgets, and risk assessments for leadership.
Systems Integration & Design Leadership
  • Lead cross-functional integration of mechanical, electrical, software, and automation subsystems into cohesive manufacturing solutions.
  • Architect interfaces between production equipment, test systems, MES, PLM, and ERP platforms - including active support of the current ERP migration (Micus to NetSuite), ensuring quality, non-conformance, and traceability data flow correctly into the new system.
  • Oversee technical reviews, design validation, and readiness assessments for new manufacturing system deployments.
  • System Integration: Connects factory floor equipment with global supply chains and digital platforms.
Operational Readiness & Scalability
  • Drive system-level readiness for new product introductions (NPI), ensuring manufacturing systems support ramp readiness and high first-pass yield.
  • Work directly with the NPI Manufacturing Engineering team on active build issues - e.g., subsystem (actuator, torso, leg) build bottlenecks, work-instruction and redline backlogs, and DFMEA/traceability gaps - providing systems-level solutions, not just architectural guidance.
  • Collaborate with Manufacturing, Quality, and Test Engineering to optimize workflows, eliminate bottlenecks, and standardize processes.
  • Champion manufacturability and maintainability through design-to-build principles and lifecycle systems thinking.
Technical Leadership & Mentorship
  • Serve as a senior technical resource and advisor for manufacturing system design and integration decisions.
  • Mentor engineers across multiple disciplines, raising the overall technical capability of the organization.
  • Influence cross-departmental standards, documentation practices, and system-level verification strategies.
Innovation & Continuous Improvement
  • Drive implementation of digital manufacturing tools (e.g., MBSE, digital twins, automated data analytics, and predictive maintenance).
  • Evaluate and deploy new technologies to improve throughput, reliability, and data-driven decision-making.
  • Establish system health metrics and continuous improvement frameworks for factory performance monitoring.
  • Process Improvement: Uses tools like value stream mapping to reduce waste and improve workflow.
  • Data Analysis: Uses data mining to track performance and troubleshoot production bottlenecks.
Qualifications:
  • Bachelor's degree with 12+ years, Master's degree with 10+ years, or PhD with 8+ years of experience in Manufacturing Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, or a …
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