Company
Motion Planning & Control
SoftwareEngineer-PlannerFrameworksPipeline
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer - Planner Frameworks Pipeline. Skills: Python, AWS, Large-scale distributed systems optimization. Improve the cost efficiency, reliability, and performance of validation and simulation pipelines. Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors”
Industry & Context.
Algorithmic optimization; Performance investigation
What They're Looking For.
Must Have
6+ years of industry experience, Experience optimizing large-scale distributed systems for cost and efficiency, Experience with AWS or similar providers, Proficiency with Python, Familiarity with C++
Nice to Have
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
What You'll Do.
Improve the cost efficiency
and performance of validation and simulation pipelines
Create production-grade APIs
and tools to enable a varied set of validations of autonomous behaviors
Improve the ML training pipelines supporting the autonomous behavior org
Full Job Description
## In this role, you will Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org ## Qualifications Bachelor’s degree in Computer Science or related field and 6+ 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
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