# Director, Perception

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** Executive Leadership
**Salary:** $391k – $470k/yr
**Experience:** 10+ years
**Skills:** Computer Vision, Machine Learning, Sensor Fusion, Lidar, Radar, Transformers, E2E Models, CUDA, TensorRT, Autonomous Vehicles
**Posted:** 2025-10-27

> Leads perception teams building 3D environment models from multi-modal sensors for autonomous vehicles, driving technical roadmap and execution. Requires 10+ years in computer vision/ML, 8+ years leadership of large teams, and MSc/PhD.

## Job Description

## Responsibilities
- Build and lead a group of managers and engineers, responsible for the team's roadmap, productivity, execution, and impact.
- Set the vision for, grow, and lead a team of talented software engineers in planning, execution, and success of complex technical projects, providing technical leadership.
- Collaborate with engineers and leaders across teams to brainstorm and accelerate perception capabilities development.
- Provide clear summaries, progress, and recommendations to executive leadership.
- Establish best practices and statistical rigor around data-driven decision-making.
- Stay on top of industry and academic trends in AI and perception.

## Qualifications
- Strong understanding of computer vision systems and AI software stacks.
- **8+ years of extensive leadership experience, leading teams of 40+**.
- **10+ years of experience** in computer vision, machine learning, and related technologies.
- Strong leadership skills for recruiting, leading, growing, and managing technical teams.
- Recent experience implementing vision & perception algorithms.
- Expertise in implementing autonomy solutions and deploying real-world systems.
- Experience with recent AI approaches including E2E models for perception, transformers, and sparse networks.
- Experience with sensor fusion and uncertainty modeling across multiple modalities.
- Strong presentation and communication skills.
- **MSc or PhD** in Robotics, Computer Science, or related fields.

## Bonus Qualifications
- Familiarity with perception of autonomous vehicles or similar robots.
- Hands-on experience deploying real products or platforms into the real world.
- Involvement in validation or evaluation of risk and/or safety-critical systems.
- Knowledge of GPU and/or TPU programming (CUDA, TensorRT, etc.).

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