Collision-Avoidance Metrics Engineer (Distributed Systems)

Jobtailor

California (MO)

On-site

USD 120,000 - 180,000

Full time

4 days ago

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Job summary

Jobtailor seeks a research engineer to apply distributed computing to analyze petabytes of urban driving data and to develop metrics and tools for system performance improvements. You will collaborate with CAS, Perception, Planning, and QA teams to validate features and measure performance in complex urban environments.

The role requires a BS/MS/PhD in CS, fluency in C++ and/or Python, and strong experience in programming and algorithm design.

Qualifications

BS, MS, or PhD degree in computer science or a related field.
Fluency in C++ and/or Python.
Extensive experience with programming and algorithm design.
Experience with analysis of latency for safety-critical software systems (bonus qualification).
Experience with petabyte-scale distributed computing, including Spark, Databricks, or generic MapReduce pipelines (bonus qualification).
Background in Bayesian statistics (bonus qualification).

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.
Define and build metrics to measure Collision Avoidance System performance.
Work with Systems Design and Mission Assurance and QA teams to develop validation plans for features.