Staff Software Engineer - Perception

Zoox is seeking a Staff Software Engineer to join their Perception team, focusing on building innovative architectures for classifying and understanding complex urban environments. This role offers access to world-class sensor data and robust infrastructure for algorithm testing and validation.

Key Responsibilities:

• Develop new algorithms for segmentation, tracking, classification, and high-level scene understanding
• Work on various components of the perception pipeline
• Create functional real-time systems solving difficult perception tasks
• Handle large data sets efficiently

Required Qualifications:

• Master's degree or PhD in computer science or related field
• Fluency in C++
• Experience with modern computer vision techniques
• Extensive experience in programming and algorithm design
• Strong mathematical skills and understanding of probabilistic techniques
• 8+ years of experience in a related field

Bonus Qualifications:

• Publications in relevant fields (CVPR, ICCV, RSS, ICRA preferred)
• Experience with autonomous robots
• Experience with real-time sensor fusion (e.g., LiDAR, camera, radar)
• Experience with novel pipelines and architectures for convolutional neural networks
• Experience with 3D data and representations (point clouds, meshes, etc.)

Compensation: The position offers a comprehensive package including:

• Salary range: $216,000 to $272,000
• Amazon Restricted Stock Units (RSUs)
• Zoox Stock Appreciation Rights
• Potential sign-on bonus
• Benefits: paid time off, health insurance, long-term care insurance, disability insurance, and life insurance

About Zoox: Zoox is at the forefront of developing autonomous vehicle technology, combining robotics, machine learning, and design to revolutionize urban mobility-as-a-service. They're seeking passionate, execution-oriented individuals to join their fast-moving team.

Zoox values diversity and encourages applications from candidates with a variety of backgrounds, experiences, and skills. Accommodations are available for applicants who need support during the application or interview process.