Senior/Staff Software Engineer - Planner Frameworks Pipeline
TECHNICAL STACK · 3 TAGS
OVERVIEW
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
REQUIREMENTS
Description
- Bachelor’s degree in Computer Science or related field and 8+ years of industry experience
- Experience optimizing large-scale distributed systems for cost and efficiency
- Experience with AWS or similar providers
- Proficiency with Python and familiarity with C++ Bonus Qualifications
- Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective
- Background in algorithmic optimization or performance investigation
- Experience with Ray.io, particularly Ray Core and Ray Data
QUESTIONS AND ANSWERS
- How much does the Senior/Staff Software Engineer - Planner Frameworks Pipeline at Zoox pay?
- The posting lists a range of $254K–$350K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Senior/Staff Software Engineer - Planner Frameworks Pipeline role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- Where is Zoox headquartered?
- Zoox is headquartered in Foster City, USA.
- How was this posting sourced?
- This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.