Staff AI Perception Engineer: 3D Vision for Industrial Robots

Anyware Robotics; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Health insurance

Paid time off (PTO)

Paid sick leave

Daily meal credit

Equity

Job summary

Anyware Robotics is seeking a Staff AI Perception Engineer to advance our production 3D AI perception stack for warehouse automation robots. You will own architecture decisions, mentor engineers, and drive pragmatic tradeoffs across accuracy, latency, compute, and reliability.

You will lead design reviews, shape the perception roadmap, and deliver hands‑on implementations that ship to real customer sites, balancing ambitious research with production constraints.

Qualifications

• Requires MS or PhD in Robotics, Computer Vision, CS or related field.
• 5+ years of professional experience in AI perception systems with senior-level ownership of architecture and design decisions.
• Demonstrated technical leadership: setting direction, owning architecture decisions, mentoring engineers.

Responsibilities

• Provide hands-on technical leadership across perception projects, architecture reviews, and mentoring.
• Define the perception architecture and technology roadmap for production systems.
• Build and ship 3D AI perception on deployed robots, focusing on object localization, pose estimation, and scene reconstruction.
• Make pragmatic tradeoffs across accuracy, latency, compute cost, data availability, and maintainability.

Skills

AI perception systems

Technical leadership

Architecture decisions

Mentoring engineers

Education

MS or PhD in Robotics, Computer Vision, Computer Science, or a related field

Job description

Anyware Robotics is seeking a Staff AI Perception Engineer to advance our production 3D AI perception stack for warehouse automation robots. You will own architecture decisions, mentor engineers, and drive pragmatic tradeoffs across accuracy, latency, compute, and reliability.

You will lead design reviews, shape the perception roadmap, and deliver hands‑on implementations that ship to real customer sites, balancing ambitious research with production constraints.