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Home›Jobs›Aeva›Perception Software Engineer - Mountain View, CA
Aeva

About Aeva

Revolutionizing perception technology for autonomous systems

👥 201-500 employees📅 Founded 2017📍 Mountain View, CA💰 $48.5m⭐ 3.1
B2BArtificial IntelligenceEnterpriseAutomation

Key Highlights

  • Pioneering 4D LiDAR-on-Chip technology for self-driving cars
  • $48.5 million in funding from leading investors
  • Headquartered in Mountain View, CA with 201-500 employees
  • Competing with major players like Tesla in automated driving

Aeva, headquartered in Mountain View, CA, is pioneering sensory perception technology with its groundbreaking 4D LiDAR-on-Chip, enabling advanced applications in automated driving, industrial robotics, and consumer electronics. With $48.5 million in funding, Aeva aims to revolutionize the self-drivi...

🎁 Benefits

Aeva offers comprehensive medical, dental, and vision coverage, along with wellness benefits from providers like Gympass and Headspace. Employees enjo...

🌟 Culture

Aeva fosters a culture of innovation focused on solving complex challenges in automated driving. The company values diversity and inclusion, believing...

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Aeva

Perception Software Engineer - Mountain View, CA

Aeva • Mountain View, CA

Posted 1 month ago🏛️ On-SiteMid-LevelSoftware engineering📍 Mountain view💰 USD154,900 - USD209,600 / year
Apply Now →

Skills & Technologies

MlopsMachine learningData collectionData systems

Job Description

About us:
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. 

Role Overview:
We’re looking for an engineer who can own data collection,  scalable data systems, MLOps workflows and ML deployment. You’ll work cross-functionally with perception, operations and labelling teams to build fast, reliable, and production-grade ML pipelines.

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