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Applied Intuition

Builds software for autonomous vehicles

Engineering Manager - Autonomy Data

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$204k - $343k /yr

About the Job

Requirements

  • Three or more years of engineering management experience.
  • Experience building data quality systems, labeling pipelines, or annotation platforms at scale.
  • Familiarity with modern machine-learning infrastructure and data-centric artificial intelligence approaches.
  • Understanding of how foundation models can be applied to automate data workflows.
  • A solid track record of building and deploying products.
  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent.

Responsibilities

  • Grow and manage a team of engineers to deliver high-quality, well-labeled data and identify critical edge cases for autonomy.
  • Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure.
  • Lead integration of foundation models, including large language models, vision-language models, and multimodal models, to automate and enhance labeling, quality assurance, and data discovery.
  • Evolve data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate machine-learning iteration cycles.
  • Set team goals and roadmap aligned with training, evaluation, and deployment requirements.
  • Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data powers models.
  • Drive hiring, mentoring, and growth for a high-performing team.

Desired Qualifications

  • Direct experience with foundation models, including large language models and vision-language models, for data automation tasks.
  • Background in autonomous driving or robotics perception.
  • Experience with active learning, auto-labeling, or human-in-the-loop machine-learning systems.
  • Familiarity with three-dimensional perception data, including camera, lidar, and radar.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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