Collision Avoidance Data Engineer (Petabyte-Scale)

Zoox; Boston (MA); On-site; USD 185,000 - 251,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Stock options (RSUs)

Disability insurance

Job summary

Zoox is seeking a CAS Verification & Validation engineer in Boston to advance metrics for the Collision Avoidance System. You will work with cross-functional teams to design validation plans and leverage vast driving data to assess performance and safety.

You will collaborate with CAS, SDMA and QA to ensure robust validation, while partnering with Perception and Planning teams to keep advancing system safety in urban environments.

Qualifications

• BS, MS, or PhD in computer science or a related field.
• Fluency in C++ and/or Python.
• Extensive experience with programming and algorithm design.

Responsibilities

• Apply distributed computing algorithms to analyze petabytes of urban driving data.
• Develop metrics and tools to analyze errors and system improvements.
• Work closely with CAS engineers to evaluate system performance.
• Collaborate with Perception engineers to define metrics for autonomous driving.
• Partner with Planning engineers to measure performance in complex urban environments.

Skills

C++

Python

Algorithm design

Education

BS/MS/PhD in CS or related

Job description

Zoox is seeking a CAS Verification & Validation engineer in Boston to advance metrics for the Collision Avoidance System. You will work with cross-functional teams to design validation plans and leverage vast driving data to assess performance and safety.

You will collaborate with CAS, SDMA and QA to ensure robust validation, while partnering with Perception and Planning teams to keep advancing system safety in urban environments.