- Computer Vision: Deep, hands-on experience across classical computer vision, deep learning, and vision language model approaches, applied to real business problems. Comfort with VLM based methods is expected.
- Video Intelligence: Experience applying video understanding and analytics to real business problems, detecting events, activities, and anomalies across streaming and recorded video for use cases such as safety, quality, and throughput.
- Spatial Intelligence: Understanding of 3D scene understanding and spatial reasoning about physical environments, including how objects, people, and machines occupy and move through space. Connects computer vision to robotics and digital twin work.
- Sales and Commercial Understanding: Understands how the sales cycle works, how opportunities qualify and progress, and how a technical solution connects to a customer's business case and to WWT's commercial outcomes. Able to partner with sellers as a business peer, not only as a technical resource.
- Business Thinking and Practice Development: Able to build a business case, prioritize opportunities, and think through how a capability or practice should evolve over time. Business minded and structured when approaching ambiguous problems, and able to contribute a point of view on the direction of the practice without needing to lead it.
- Robotics: Working knowledge strong enough to scope solutions, assess technologies objectively, and hold a credible robotics conversation with a customer independently. Prior hands-on demonstration or proof of concept experience preferred.
- Customer Focus: Strong customer engagement and communication skills, with the ability to translate complex technical concepts for non-technical business audiences and represent WWT credibly in the room.
- Sales Acumen: Proven ability to engage customers, understand their needs, and communicate the value of technical solutions.
- Autonomy and Range: Comfortable operating in a developing practice with ambiguity, building content, demonstrations, and thought leadership from the ground up.
Preferred:
- Digital Twin and Simulation: Working familiarity with digital twin and simulation environments such as NVIDIA Omniverse or Isaac, Unity, or Unreal, sufficient to collaborate on engagements where these areas converge.
- AI Assisted Demo Development: Experience building demonstrations and prototypes with modern AI assisted development tools, consistent with how the team builds and iterates today.
Education: Bachelor's degree in Computer Science, Robotics, Engineering, or a related field.
Certifications or Advanced Degrees: Relevant AI, computer vision, or robotics certifications preferred.