Software Engineer - Collision Avoidance System Metrics
At a glance
Mid-level Software Engineering role at Zoox. Foster City · full-time · $185,000–$251,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Use distributed-computing methods to examine very large volumes of urban driving data
- Build measures and analysis tools that reveal system errors and track improvements
- Assess Collision Avoidance System performance alongside its engineers
- Set autonomous-driving metrics with Perception engineers and evaluate complex-city performance with Planning engineers
What you bring
- A degree in computer science or a related discipline, at the bachelor’s, master’s or doctoral level
- Strong working ability in C++ or Python, plus substantial programming and algorithm-design experience
Who this fits
This mid-level engineering role suits someone focused on software, algorithms and performance measurement for collision avoidance. The position is hybrid in Foster City.
From the employer
The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.
The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features.
In this role, you will:
- 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.
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
Bonus Qualifications:
- Experience with analysis of latency for safety-critical software systems
- Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)
- Background in Bayesian statistics
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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