Senior Perception Engineer - Autonomous Robotics

Symbotic

Austin (TX)

On-site

USD 180,000 - 248,000

Full time

11 days ago

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Job summary

Symbotic, an AI-powered robotics and software platform leader, is seeking a Principal Software Engineer in Austin, TX. The role centers on real-time perception software for automated forklift and loading dock automation, with opportunities to influence controls, architecture, CI/CD, and customer KPI ownership.

The ideal candidate has a Master’s degree and 10+ years in complex real-time systems, with a track record of production-ready robotics.

Qualifications

  • Master's degree in a related discipline is required.
  • Minimum 10 years of professional experience developing software for complex, real-time systems.
  • Deep expertise in robotics perception: SLAM, sensor fusion, state estimation, computer vision.
  • Proven track record taking complex robotic systems into production with measurable value.
  • Experience mentoring or growing other engineers.
  • Comfort operating with a broader technical scope beyond Perception (Controls, system architecture, CI/CD, planning).

Responsibilities

  • Design and develop real-time, high-performance perception software for autonomous forklift and loading dock systems.
  • Serve as a leading technical contributor within the Perception organization.
  • Mentor and grow other engineers to scale this work.
  • Analyze root causes and apply systems-thinking to performance improvements.
  • Drive project scoping and requirement specifications for long-term roadmaps.
  • Engage with customer program stakeholders on scope and KPIs.
  • Collaborate across teams on CI/CD and architecture as needed.

Education

Master's degree in Computer Science / related discipline

Tools

Docker
CI/CD tooling
Linux
NVIDIA GPUs
ROS/ROS2

Job description

Symbotic, an AI-powered robotics and software platform leader, is seeking a Principal Software Engineer in Austin, TX. The role centers on real-time perception software for automated forklift and loading dock automation, with opportunities to influence controls, architecture, CI/CD, and customer KPI ownership.

The ideal candidate has a Master’s degree and 10+ years in complex real-time systems, with a track record of production-ready robotics.

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