Senior Simulation Infrastructure Engineer - C++/Python

Latitude AI

Detroit (MI)

On-site

USD 179,200 - 268,800

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Medical, dental, vision insurance
401(k) matching

Job summary

Latitude AI is building an in-house ADAS platform as part of Ford's autonomy roadmap. We work across ML, robotics, cloud, mapping, and sensors to accelerate safe autonomous driving.

The Virtual Test Ecosystem team develops C++ simulation/resimulation tooling and Python-based tooling to run large-scale cloud tests. You’ll implement a parser, collaborate with autonomy developers, and enhance backend simulation infrastructure to validate safety features and performance, at scale across formats and

Qualifications

  • 4+ years in relevant experience, or Master’s degree with 2+ years
  • Expertise in modern C++ (C++17)
  • 3+ years’ experience developing complex parsing software
  • Strong communication and collaboration with internal/external teams

Responsibilities

  • Implement the parser that ingests sim scenario definitions and feeds the backend engine
  • Collaborate with autonomy and scenario teams to translate requirements into tooling
  • Identify pain points in scenario definitions and implement robust solutions
  • Build mechanisms to express a range of scenario parameter values for efficient sampling
  • Support backend sim infrastructure, message flows, and vehicle logs/maps integration
  • Enable users to create diverse scenarios for safety and comfort validation in cloud environments

Skills

C++17
Parsing software
Communication

Education

Bachelor's degree in Computer Engineering/CS/EE/Robotics or related field
Master's degree or PhD optional

Tools

Python
Entity Component Systems

Job description

Latitude AI is building an in-house ADAS platform as part of Ford's autonomy roadmap. We work across ML, robotics, cloud, mapping, and sensors to accelerate safe autonomous driving.

The Virtual Test Ecosystem team develops C++ simulation/resimulation tooling and Python-based tooling to run large-scale cloud tests. You’ll implement a parser, collaborate with autonomy developers, and enhance backend simulation infrastructure to validate safety features and performance, at scale across formats and

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