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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.

125k – 222kSunnyvale, CAFullstack EngineeringOnsite3+ YOE

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

Skills

PythonGoReactKubernetesAWSAzureGCPContainerizationData ModelingMachine Learning

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