Develops validation toolset software for autonomous vehicle systems, building features for data ingestion, KPI analysis, coverage measurement, and ML-based failure detection across cloud, hybrid, and on-prem. Requires 3-6 years experience with Python, Go, React, containerization, and data modeling.
125k – 222k/yr
On-site3+ YOEFullstack Engineering
About the role
Responsibilities
Build and deploy high-quality software for customers across cloud, hybrid, and on-prem deployments using modern tooling and frameworks
Drive the end-to-end product lifecycle, from external-facing product to underlying schemas and infrastructure
Build features for software-driven validation including unified data layer for systems models, test case orchestration, safety case management, and KPI analysis
Enable customers to define and measure coverage of autonomous systems and dynamically failure-find using machine learning techniques
Design and scale data systems to ingest millions of simulation data points daily and support high-speed querying and visualization
Work with internal teams to deliver software supporting validation workflows
Requirements
At least 3-6 years of industry experience
Experience with data modeling for customer workflows
Experience with containerization and other modern software development workflows
Expertise with modern programming languages (Python, GoLang, ReactJS etc.)
Nice to Have
Expertise in validation for autonomous vehicles
Experience with Kubernetes
Experience delivering enterprise software, including on-prem and/or cloud environments
Expertise in tooling from major cloud providers (AWS, Azure, GCP)
Compensation
Base salary: $125,000 - $222,000 USD annually
Equity, comprehensive health/dental/vision insurance, 401k with match, learning/wellness stipends, paid time off
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