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
Key Requirement:
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 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)