Senior Manager, Perception
Hybrid · Foster City, CA · Full-time
$340,000 – $408,000 per year
Posted · Listed from Lever
About the job
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.
- 5+ years of extensive leadership experience, leading teams of 20+
- 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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