In this role, you will:
- Build and lead a group of managers and engineers, and be responsible for the team’s roadmap, productivity, execution and impact within the company.
- Set the vision for, grow, and lead a team of talented software engineers in the overall planning, execution, and success of complex technical projects, while providing the team with technical leadership.
- Collaborate with engineers and leaders across a variety of teams to brainstorm and accelerate the development of perception capabilities.
- Provide clear summaries, progress, and recommendations to our executive leadership team.
- Establishing best practices and statistical rigor around data-driven decision-making.
- Stay on top of industry and academic trends in AI and perception, making sure Zoox remains at the cutting edge of both algorithms and their implementation at scale.
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 suitable for recruiting, leading, growing, and managing technical team members in solving a challenging problem, and building a critical component of a real-time system.
- Recent experience in 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 having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems
- Involvement in validation or evaluation of risk and/or safety-critical systems
- Knowledge of GPU and/or TPU programming (CUDA, TensorRT, etc.)
Skills Required
- Strong understanding of computer vision systems and AI software stacks
- 8+ years of extensive leadership experience
- 10+ years of experience in computer vision and machine learning
- Strong leadership skills for technical team management
- Recent experience in implementing vision & perception algorithms
- Expertise in autonomy solutions deployment
- Experience with recent AI approaches
- Experience with sensor fusion and uncertainty modeling
- Strong presentation and communication skills
- MSc or PhD in Robotics, Computer Science or related fields
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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