Software Engineer - Validation Toolset
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.
About the job
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
Skills
Python, Go, React, Kubernetes, AWS, Azure, GCP, Containerization, Data Modeling, Machine Learning
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