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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Jan 21, 2025
Salary
$125,000–$222,000 a year
Full-time

Software Engineer - Validation Toolset

Job description

Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week.

Job responsibilities

  • 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

Job 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.)

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