The Advanced Robotic Systems Lead drives the strategic development and deployment of next‑generation robotic technologies—such as humanoids, intelligent AMRs, and multi-mobile robotic ecosystems—to enhance operational excellence, product quality, and workplace safety across industrial environments. The role ensures that robotics becomes a competitive advantage, accelerating the company’s transition toward Industry 5.0.
Core Leadership Responsibilities:
- Technology Vision & Roadmap
Define and steer the company’s robotics innovation strategy, identifying disruptive solutions (AI-enabled robotics, advanced vision systems, intelligent sensing) and translating them into scalable industrial applications.
- End-to-End Program Leadership
Oversee the full lifecycle of advanced robotics initiatives—from concept and simulation to industrial deployment—ensuring alignment with business priorities and maximizing ROI.
- Operational Performance & Productivity
Guarantee performance excellence of robotic systems, leveraging KPI-driven governance (efficiency, cycle time, system uptime) to improve throughput and reduce operational losses.
- Regulatory Compliance & Safety Governance
Ensure all robotic applications comply with international safety standards (e.g., ISO 10218, Machinery Directive), establishing a robust risk‑management and safety framework.
- High-Performing Team Leadership
Build, mentor, and empower a multidisciplinary technical organization (robotics engineers, automation experts, PLC/robot programmers), fostering a culture of innovation and continuous improvement.
- Digital Integration & Industry 5.0 Enablement
Guide the convergence of robotics with enterprise IT/OT architectures, enabling data-driven operations, autonomous decision-making, and collaborative human-robot work environments.
Executive Competencies:
- Strategic Foresight: Ability to detect emerging trends in robotics and translate them into competitive advantage.
- Innovation Leadership: Proven track record in introducing frontier technologies into complex industrial settings.
- Cross-Functional Influence: Skilled in aligning engineering, operations, IT, and safety organizations toward shared transformation goals.
- Decision-Making Under Complexity: Comfortable managing high-impact, multi-site, technology-intensive programs.
- Change Management: Ability to lead organizational transformation linked to automation and advanced robotics adoption.
Basic Qualifications:
- Bachelor’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Mechatronics, or related engineering field
- Minimum 8 years of experience in robotics, automation, or advanced manufacturing systems (automotive or industrial environment preferred)
- Experience leading a team and managing direct employees.
Preferred Qualifications:
- Master’s or PhD in Robotics, Automation, Artificial Intelligence, or related field
- Knowledge of automotive manufacturing processes and plant operations
- Experience in:
- Vision systems and perception (AI/ML applied to robotics)
- Human-robot collaboration (cobotics)
- Experience with robot simulation, digital twins, or virtual commissioning tools
Key Skills:
- Strong ability to translate innovation into deployable industrial solutions
- Expertise in end-to-end project lifecycle (concept → pilot → industrialization → deployment)
- Leadership & stakeholder management across engineering, manufacturing, and suppliers
- Advanced analytical, synthesis, and problem-solving capabilities
- Agile mindset with experience in fast-paced innovation environments
- Familiarity with Functional Safety (ISO 10218 / ISO 13849 / ISO 26262)
- Fluent English
Skills Required
- Bachelor’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Mechatronics, or a related engineering field
- Minimum 8 years of experience in robotics, automation, or advanced manufacturing systems
- Experience leading a team and managing direct employees
- Master’s or PhD in Robotics, Automation, Artificial Intelligence, or a related field
- Knowledge of automotive manufacturing processes and plant operations
- Experience with vision systems and AI/ML-based robotic perception
- Experience with human-robot collaboration and cobotics
- Experience with robot simulation, digital twins, or virtual commissioning tools
- Familiarity with functional safety standards ISO 10218, ISO 13849, and ISO 26262
- Fluent English
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
