Director, Perception
Zoox is hiring a Director, Perception in Foster City, United States. It pays $410k-$492k a year and Level rates it ; you can apply on Zoox.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions computer vision among its tools and skills.
- Level classes it as an executive role.
- Zoox has 226 other open roles on Level.
AI in this role
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.)
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
How we rate this
Director, Perception at Zoox rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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