LiDAR Characterization & Perception Data Engineer - Mountain View, CA

Aeva; Mountain View (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision coverage

401(k) plan

Flexible time off

Paid parental leave

11 paid holidays annually

Job summary

Aeva is seeking a versatile engineer to bridge hardware, customer integration, and perception teams. The role entails characterizing sensor performance and building production-grade Python and C++ data pipelines. Candidates should have a strong background in software development and hardware engineering, particularly with LiDAR systems.

Located in Mountain View, California, the position offers competitive compensation and comprehensive benefits, including medical coverage, flexible time off, and 401(k) plans.

Qualifications

• 3+ years of industry experience blending software development with hardware/systems engineering.
• Hands-on experience with LiDAR, radar, or camera systems.
• Excellent communication skills for translating technical issues.

Responsibilities

• Characterize 4D LiDAR performance to ensure optimal sensor deployment.
• Develop Python and C++ infrastructure for data processing.
• Run calibration workflows and debug integration issues.

Skills

Software development (Python and C++)

Hardware troubleshooting

Calibration and point cloud analysis

Communication skills

Experience with robotics or autonomous systems

Education

Bachelor's degree in Computer Science, Electrical Engineering, Optics, or related field

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 a versatile engineer to serve as a critical bridge between our hardware, customer integration (FAE), and perception teams. As a shared resource, you will own the full lifecycle of our sensor data in the field. You will split your time between characterizing physical sensor performance, supporting customer deployments, and building the production‑grade Python and C++ data pipelines required to ingest, validate, and label that data for our perception models.

What you will be doing

• Sensor Characterization & FAE Support: Act as a technical liaison for customers. Assist with hardware integration and characterize 4D LiDAR performance (range, velocity, point cloud quality) in real‑world environments to ensure optimal sensor deployment.
• Data Infrastructure: Develop Python and C++ infrastructure to ingest, validate, and organize data from collection vehicles and customer fleets: handling file verification, metadata extraction, and database writes.
• Calibration & Field Debugging: Run camera, LiDAR, and GPS calibration workflows on internal data collection vehicles and customer platforms. Debug hardware/software integration issues including sensor connectivity, logging failures, and network dropouts.
• Pipelines & Labeling: Build and maintain ETL pipelines that move high‑volume sensor data to internal storage. Collaborate with external annotation vendors to package data for delivery, validate returned labels, and flag quality issues for the perception team.
• Operations Execution: Collaborate with operations and customer engineering teams to plan, support, and execute comprehensive data collection runs.

What you have

• Bachelor's degree in Computer Science, Electrical Engineering, Optics, or a related field; or equivalent practical experience.
• 3+ years of industry experience blending software development (production Python and C++) with hardware/systems engineering (2+ years with a Master's).
• Hands‑on experience with LiDAR, radar, or camera systems, including hardware troubleshooting, calibration, and point cloud analysis.
• Strong fundamentals in software engineering (data structures, system design) and experience designing or operating data pipelines at scale.
• Excellent communication skills, with the ability to translate complex technical issues between external customers, hardware engineers, and perception software teams.
• Familiarity with robotics or autonomous systems data such as ROS, sensor logs, binary formats, or perception datasets is a strong plus.
• Ability to work independently and cross‑functionally in a fast‑moving environment with ambiguous requirements.

Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.

Compensation & Benefits

Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job‑related skills, experience, certifications, qualifications, relevant education or training, and market conditions. Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre‑tax commuter and health care/dependent care accounts, 401(k) plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.