Applied Intuition-posted 4 months ago
$153,000 - $222,000/Yr
Full-time • Mid Level
Hybrid • Mountain View, CA
501-1,000 employees
Publishing Industries

We are looking for a software engineer excited about delivering cutting-edge automotive validation products with a tight customer feedback loop. This role will work across all parts of validation (systems traceability, data ingestion and KPI visualization, coverage analysis, ML-based failure finding). We are looking for someone who can be hands-on in supporting both our external as well as our internal customers across other functions within the company. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, interact closely with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.

  • 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
  • 7+ 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)
  • Comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service