Hybrid opportunity at
ZooxSoftware Engineer - Planner Frameworks Pipeline
Zoox is seeking a Software Engineer for Planner Frameworks Pipeline to build and support large-scale simulation and validation pipelines for self-driving vehicles. Operating within a compact…
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About This Role
Zoox is seeking a Software Engineer for Planner Frameworks Pipeline to build and support large-scale simulation and validation pipelines for self-driving vehicles. Operating within a compact team inside the larger Autonomy organization, this position focuses on data and GPU intensive workloads powered by Ray.io and Kubernetes. This is a hands-on technical role offering significant independence and ownership. Professionals in this position will shape framework architecture, enhance system reliability and cost-efficiency,…
Job Description
Zoox is seeking a Software Engineer for Planner Frameworks Pipeline to build and support large-scale simulation and validation pipelines for self-driving vehicles. Operating within a compact team inside the larger Autonomy organization, this position focuses on data and GPU intensive workloads powered by Ray.io and Kubernetes.
This is a hands-on technical role offering significant independence and ownership. Professionals in this position will shape framework architecture, enhance system reliability and cost-efficiency, and expand capabilities to handle novel use cases. While the work centers on off-vehicle pipelines, engineers collaborate closely with peers developing on-vehicle algorithms and models, maintaining a direct connection to the end users.
The ideal candidate possesses extensive experience with distributed systems and a strong background in production-grade software development. Candidates do not need prior experience in robotics or autonomous systems, though familiarity with the robotic data lifecycle is a plus. Zoox operates this position on a hybrid remote schedule.
Responsibilities
- Enhance the cost efficiency, reliability, and performance of simulation and validation pipelines
- Develop production-grade APIs, SDKs, and tools to support diverse validations of autonomous behaviors
- Optimize machine learning training pipelines that back the autonomous behavior organization
Requirements
- Six or more years of industry experience
- Experience optimizing distributed systems at scale for efficiency and cost
- Familiarity with cloud providers such as AWS
- Proficiency in Python along with familiarity in C++
- Proven track record of maintaining high availability in production systems
Qualifications
- Bachelor degree in Computer Science or a related technical discipline
- Understanding of the robotic data lifecycle
- Experience optimizing machine learning workloads including training, inference, and data generation
- Background in performance investigation or algorithmic optimization
- Experience working with Ray.io, specifically Ray Core and Ray Data
Core Skills
Frequently Asked Questions
What is the employment type for this role?
The posting specifies that this is a full-time position.
What is the remote work policy?
The position is offered with hybrid remote status.
What is the salary for this position?
The source posting does not specify salary information.
Is prior robotics experience required?
No, experience with robotics or autonomous systems is not required, although an understanding of the robotic data lifecycle is preferred.
What educational background is needed?
A bachelor degree in Computer Science or a related field is required.
Sample Interview Questions
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