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Senior Manager, Perception

Zoox
Foster City, USA
Full-time
Senior · 10+ years experience
Hybrid
USD 277000-389000 yearly / year
Discovered 1 months ago
CUDATensorRTTPU programming

Full Job Posting

  • 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.
  • 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.
  • 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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