Robotics Engineering Director

Robotics Engineering Director

Intelligent Robotics & Customer Engineering

Job Summary:

The Robotics Engineering Director is a senior technical leader responsible for driving customer engagement, delivering high-impact robotics demonstrations, supporting pre-sales activities, and providing hands-on engineering expertise across intelligent robotics solutions. This role blends deep technical capability with business-facing responsibilities, enabling clients to understand, adopt, and scale modern robotics technologies. The director will guide early-stage solutioning, oversee technical PoCs and pilots, develop and run robotics demo labs in Asia, and contribute to capability development within the Robotic Intelligence CoE.

Key Responsibilities

Customer Engagement & Technical Leadership

• Lead high-quality robotics demonstrations and technical walkthroughs for customers, partners, and executive stakeholders.
• Represent robotics solutions during client visits, architecture discussions, and early-stage scoping workshops.
• Convert complex robotics, AI, and autonomy concepts into clear, compelling narratives tailored to business and technical audiences.
• Own and contribute to RFI/RFP responses, solution decks, and technical proposals focused on intelligent robotics.

Hands-On Engineering & Delivery Support

• Provide expert-level robotics engineering support across development, system integration, testing, and on-site troubleshooting.
• Lead PoCs and pilot implementations, ensuring alignment with technical KPIs, customer objectives, and delivery best practices.
• Collaborate with solution architects and engineering teams to validate feasibility, architecture robustness, and scalability.
• Drive root-cause analysis for system issues and ensure technical resilience across demo and customer environments.

Demo Lab Management & Experience Centers

• Oversee the design, readiness, and continuous improvement of robotics physical labs and customer experience centers in Asia.
• Ensure all demo systemshardware platforms, autonomy stacks, perception pipelines, integrationsare reliable, current, and enterprise-ready.
• Manage lab content updates, introducing new capabilities aligned with market trends, partner ecosystems, and practice roadmaps.

Solutioning & Business Growth

• Support the Robotics Practice in pre-sales motions, proposal defense, client presentations, and early delivery planning.
• Evaluate customer requirements and deliver new generation robotics solutions that balance innovation, cost, feasibility, and scalability.
• Identify new opportunity areas, emerging technologies, and differentiating capabilities that enhance HCLTechs robotics portfolio.

Reusable Assets, Frameworks & Standardization

• Contribute to and govern the development of reusable accelerators, reference architectures, demo kits, and integration frameworks.
• Promote consistent engineering practices, documentation standards, safety protocols, and delivery checklists across robotics projects.
• Track asset adoption and ensure they drive measurable improvements in win rates, delivery velocity, and solution quality.

Capability Development & Team Enablement

• Mentor engineers and architects, helping build deeper expertise in AI-driven robotics, autonomy, ROS/ROS2, manipulation, mobility, and integration.
• Identify skill gaps and contribute to training plans, capability uplift programs, and talent development within the robotics practice.
• Support internal communities of practice, knowledge sharing, and cross-functional collaboration across AI, Cloud, and Industry teams.

Qualifications & Experience

• Bachelors or Masters degree in Robotics, Mechatronics, Computer Engineering, or related fields.
• Typically, 1015 years of experience in robotics engineering, autonomy systems, system integration, or intelligent automation.
• Hands-on experience with ROS/ROS2, perception systems, navigation stacks, sensors, and robotics hardware platforms.
• Proficiency in Python and/or C++ development with a strong understanding of robotics middleware and systems engineering.
• Strong customer-facing communication skills and experience supporting pre-sales, RFP/RFI responses, and technical presentations.
• Proven ability to deliver demos, PoCs, and pilots for enterprise clients across manufacturing, logistics, or service robotics.
• Demonstrated leadership in mentoring teams, influencing stakeholders, and driving technical direction.