Senior/Staff Software Engineer - Planner Frameworks Pipeline
At a glance
Senior Engineering Leadership role at Zoox. Foster City · full-time · $254,000–$350,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Improve simulation and validation pipelines so they run faster, more reliably, and at lower cost
- Build production-ready APIs, SDKs, and tools for validating different autonomous behaviors
- Strengthen the ML training pipelines used by the autonomous behavior organization
- Shape the framework’s architecture and capabilities while keeping production systems highly available
What you bring
- A computer science degree or related qualification, plus at least eight years working in industry
- Experience reducing costs and improving efficiency in large distributed systems
- Experience with AWS or a comparable cloud provider
- Strong Python skills and familiarity with C++
Who this fits
This hands-on senior role suits an engineer comfortable owning framework architecture and production reliability independently. You’ll work mainly on off-vehicle pipelines and closely with engineers building on-vehicle autonomy algorithms and models. The position is hybrid in Foster City.
From the employer
Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development.
We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines.
This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred.
In this role, you will:
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Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines
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Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors
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Improve the ML training pipelines supporting the autonomous behavior org
Qualifications
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Bachelor’s degree in Computer Science or related field and 8+ years of industry experience
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Experience optimizing large-scale distributed systems for cost and efficiency
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Experience with AWS or similar providers
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Proficiency with Python and familiarity with C++
Bonus Qualifications
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Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective
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Background in algorithmic optimization or performance investigation
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Experience with Ray.io, particularly Ray Core and Ray Data
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