Job Title: Associate Director - Physical AI Engineering
Employment Type: Contract (3 Months)
Role Overview
We are seeking a highly experienced Physical AI Engineering Senior Consultant to lead strategic initiatives within a Physical AI R&D environment. This role focuses on driving innovation across robotics and AI systems, bridging hardware and software integration, and guiding enterprise-level adoption of advanced Physical AI solutions. The ideal candidate will act as a strategic advisor, technical leader, and mentor while working closely with cross‑functional teams and stakeholders to deliver impactful, next‑generation AI and robotics solutions.
Key Responsibilities
- Lead strategic planning and execution of Physical AI initiatives aligned with business and technology objectives
- Provide expert guidance on integration of hardware and software systems in robotics and AI environments
- Collaborate with cross‑functional teams to identify innovation opportunities in Physical AI solutions
- Conduct client‑facing strategy sessions and technical showcases demonstrating solution value
- Engage with stakeholders to understand requirements and deliver actionable technical and strategic recommendations
- Develop thought leadership content such as white papers, solution frameworks, and case studies
- Mentor and guide team members, fostering technical growth and continuous learning
- Support project governance, ensuring timely delivery of high‑quality AI and robotics solutions
Required Skills & Qualifications
- Minimum 3+ years of hands‑on experience in Robotics or Mechatronics
- Strong understanding of AI, robotics systems, and Physical AI concepts
- Experience working with NVIDIA platforms (Omniverse, Isaac, Cosmos)
- Strong analytical and problem‑solving abilities
- Excellent communication and stakeholder engagement skills
- Experience translating complex technical concepts into business‑aligned solutions
- Familiarity with data analysis and using data‑driven insights for decision‑making
- Proven ability to support or lead strategic‑level discussions with clients or leadership teams
Preferred Qualifications
- Advanced degree (Master’s or PhD) in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or related STEM field
- Strong exposure to emerging AI and robotics trends across industries
- Demonstrated leadership experience mentoring teams or technical groups
- Proven ability to define and execute technology strategies that drive business impact
- Strong experience in designing innovative solutions using advanced AI/robotics technologies
- Ability to manage multiple initiatives and drive successful delivery in complex environments