What you will be doing:
Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.
Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.
Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems
Work with the Planning & Control team to develop and drive software testing strategies
What we need to see:
BS, MS, or PhD or equivalent experience in electrical, mechanical, aerospace engineering, physics, computer science or similar fields
5+ years experience working in software engineering, data science, and/or experiment design roles
Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)
Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system
Ability and enthusiasm to ramp up quickly on new technical domains
Ability to multitask and prioritize in a fast paced environment
Excellent organizational and interpersonal skills
Ways to stand out from the crowd:
We would love to see a track-record of working on and shipping testing and evaluation products. We definitely want to hear from you if your background includes one or more of the following:
Experience developing on-board planning algorithms and developed metrics for autonomous vehicle robotics systems
Experience with evaluating precision and recall of performance metrics
Familiarity with C++
Experience with working in a large monorepo and with Bazel.
Prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and autonomous vehicles.
You will also be eligible for equity and .
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