Software Engineer - Validation Toolset
- Build and deploy high-quality software that will be used by customers across all deployment types (cloud, hybrid, on-prem) using modern tooling and frameworks
- Drive the end to end product lifecycle, from the external-facing product to the underlying schemas and infrastructure
- Build features to enable customers to perform software-driven validation including a unified data layer for systems models, test case orchestration, safety case management, and KPI analysis
- Enable customers to define and measure coverage of their autonomous systems and dynamically failure-find within the state space using machine learning techniques
- Design and scale data systems to performantly ingest millions of simulation data points daily and support high-speed querying and visualization through interactive data workflows
- Work with internal teams to deliver software to support the teams’ validation workflows
- 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.)
- Expertise in the field of 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)
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