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Job Description

Senior Perception Engineer role focused on building and productizing autonomous driving traffic signal understanding without relying on HD maps.

Responsibilities

  • Design end-to-end Perception and AV stack solutions to support traffic signal detections across driving environments, from complex intersections to rural roads and highways
  • Conduct applied research and R&D to develop deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, and text recognition for traffic signal tasks
  • Build generalizable approaches to support diverse ODDs and expand to new country or region requirements
  • Lead data-driven development by collaborating with large data collection and labeling teams to increase perception system accuracy via high-value data, including:
    • Data collection prioritization and planning
    • Labeling prioritization
    • Labeling efficiency optimization
    • Maximizing the value of collected and labeled data
  • Use data simulation and augmentation to address extreme scenarios
  • Productize perception solutions by meeting product requirements for safety, latency, and software robustness

Requirements

  • Minimum requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years in Computer Science, Computer Engineering, or a related technical field
  • Plus: 2+ years of technical leadership showing high technical and organizational complexity
  • Hands-on experience developing deep learning and algorithms for sophisticated real-world problems
  • Proficiency with deep learning frameworks, for example PyTorch
  • Experience with data-driven development and collaboration with data and ground truth teams
  • Strong programming skills in Python and/or C++
  • Outstanding communication and teamwork skills for a tightly-knit team that shares learning and expertise

Technologies

  • PyTorch
  • Python
  • C++
  • Deep learning frameworks
  • Transformers
  • BEV architectures
  • Visual Language Models

Benefits

  • Equity and benefits eligibility

Ways to Stand Out

  • Proven expertise developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras
  • Hands-on experience developing and deploying DNN-based solutions to embedded platforms for real-time applications
  • Proven deep learning expertise supported by technical publications in leading conferences and journals
  • Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques, including experience with complex object detection and recognition (a plus)

Location: Santa Clara, CA (onsite)

Salary: USD 184,000 - 356,500 per year

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