Software Engineer, Aeva

Perception Data Infrastructure

$154.9-209.6k

Python

C++

Mid and Senior level

San Francisco Bay Area

Office located in Mountain View, CA

4DLiDAR for autonomous naviation

Be an early applicant

4DLiDAR for autonomous naviation

201-500 employees

B2BArtificial IntelligenceEnterpriseAutomation

Be an early applicant

$154.9-209.6k

Python

C++

Mid and Senior level

San Francisco Bay Area

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceEnterpriseAutomation

Company mission

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.

Job

Company

Role

Who you are

Bachelor's degree in Computer Science, Electrical Engineering, or a related field; or equivalent practical experience
3+ years of industry experience in software development, with production Python and C++ (2+ years with a Master's)
Strong fundamentals in software engineering — data structures, algorithms, system design, and writing code that is readable, testable, and maintainable
Hands-on experience designing and operating data pipelines at scale, including ownership through incidents and iterations
Familiarity with robotics or autonomous systems data — sensor logs, binary formats, or perception datasets is a plus
Experience with databases as part of a production data workflow, including schema design and data integrity considerations
Ability to work independently and cross-functionally in a fast-moving environment with ambiguous requirements

What the job involves

We're looking for an engineer who can own data collection, scalable data systems, and sensor data workflows. You'll work cross-functionally with perception, operations, and labeling teams to build fast, reliable, and production-grade data pipelines
Develop Python and C++ infrastructure to ingest, validate, and organize camera and LiDAR data from our collection vehicles — file handling, data verification, metadata extraction, and database writes
Run camera, lidar, gps calibration workflows on the data collection vehicles
Debug hardware/software integration issues on data collection rigs including sensor connectivity, logging failures, storage limits, and network dropouts
Build and maintain ETL pipelines that move high-volume sensor data from vehicles to internal storage and annotation vendors
Collaborate with external annotation and labeling vendors: package data for delivery, validate returned labels, and flag quality issues
Collaborate with the operations team to plan, support, and execute data collection runs

Our take

The development of self-driving cars presents enormous opportunities for transportation, shipping, and ride-hailing industries, but getting these cars to run flawlessly is difficult. Cameras and radar sensors are used to detect obstacles for safe automated driving, but existing technology does not analyze enough data to meet these expectations.

Aeva builds sensory perception technology that maps the physical world around a vehicle on a granular basis to contribute towards the development of fully self-driving cars. The sensory system relies on what the company describes as being the world’s first 4D LiDAR-on-Chip. This technology comprises sensors that detect objects and events up to 300m away, recognize velocity-per-pixel, and are immune to interference from neighbouring frequencies.

Companies such as Tesla are already developing successful and safe fully self-driving software for their cars, but Aeva's approach to LiDAR presents some serious competition to the existing camera-based technology. Despite further competition from Luminar and Velodyne, Aeva remains unique and has even secured a partnership with NVIDIA to integrate its 4D LiDAR into the DRIVE Hyperion autonomous vehicle platform, placing its technology at the core of how future self-driving cars will see, understand, and safely navigate the road.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

5% employee growth in 12 months

Glassdoor (3.1)

Company

Funding (2 rounds)

Oct 2018

$45m

SERIES A

Jan 2017

$3.5m

SEED

Total funding: $48.5m

Company HQ

Mountain View, CA

Leadership

Soroush Salehian

(Co-Founder & CEO)

Studied Mechanical Engineering at Stanford before founding BlueLibris in June 2010. They then spent almost 5 years as an Apple Product Development Manager before co-founding Aeva in January 2017.

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