Manager Jobs

About The Position

Requirements

• Minimum of 8 years of experience Strong experience in key industries: Automotive, Life Science, Public Services.
• Minimum of 8 years of experience taking responsibility in technical leadership roles—e.g., as a solutions architect, tech lead, or integrative tech generalist in interdisciplinary teams.
• Minimum of 5 years of experience Solid experience with modern robotics stacks: ROS2, motion planning, sensor fusion, and simulation environments (NVIDIA Isaac Sim 6.0, Isaac Lab 3.0, MuJoCo, Gazebo, NVIDIA Cosmos).
• Minimum of 3 years of relevant leadership experience in robotics, consulting, or software projects with a technical focus in industrial or research environments.
• Minimum of 3 years of experience with Physical AI and foundation model concepts: Vision-Language-Action (VLA) models, robot learning from demonstration, sim-to-real transfer, and synthetic data generation via world models (NVIDIA Cosmos, Genesis).
• Bachelor's degree in robotics, computer science (or related) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

• Build Physical AI & Robotics solutions that transform clients’ operations.
• Development of scalable Physical AI architectures with a focus on autonomy, Vision-Language-Action (VLA) model integration, real-time systems, and simulation-to-reality pipelines.
• Management of a Physical AI / Robotics Centre of Excellence (3–10 people) across phases such as PoC, pilot, and production rollout.
• Execution of technology benchmarks, venture screenings, and establishment of robust demo and test setups leveraging the latest foundation models (NVIDIA GR00T, π0, OpenVLA).
• Close coordination with clients, partners, and Accenture industry units—from roadmap creation to productive implementation, including alignment with ecosystem players such as NVIDIA, Boston Dynamics, and Universal Robots.
• Active contribution to the Next-Gen Robotics strategy: tech roadmaps, partner development, Physical AI ecosystem positioning, and internal enablement initiatives.
• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Physical AI Robotics offerings
• Develop strong relationships with clients and gain the trust of key advisors
• Make the business case for the Physical AI & Robotics solution recommended to the client
• Pitch in on Accenture sales efforts when needed
• Continue to learn and develop your technical expertise and business expertise

Benefits

• medical
• dental
• vision
• life
• long-term disability coverage
• 401(k) plan
• bonus opportunities
• paid holidays
• paid time off