Autonomous Vehicle Calibration Software Engineer

Applied Intuition; Sunnyvale (CA); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Learning stipends

Paid time off

Job summary

Applied Intuition, based in Sunnyvale, CA, is building the calibration framework for a growing autonomous fleet. The role focuses on a scalable calibration pipeline enabling multi-sensor fusion and robust parameter estimation across cameras, LiDAR, radar, IMU, GNSS and more.

You will work with the core calibration team and other groups to push offline and online calibration capabilities, improving product experience and production workflows.

Qualifications

• 2+ years of experience building software components or subsystems that address practical engineering challenges.
• Hands-on experience with calibration, middleware, data sets or related pipelines.
• C++ and/or Python programming expertise.
• Willingness to learn and be a self starter, and adapt to new tools quickly.
• Passion for turning software expertise into real-world autonomous systems solutions.

Responsibilities

• Implement a software pipeline for calibrating sensor intrinsics and extrinsics across vehicles.
• Design processes to manage lifecycle and deployment of calibrations, data collection and evaluation.
• Collaborate across teams and contribute to the core calibration algorithms at Applied.

Skills

C++

Python

Calibration

Education

MSc in Calibration

State estimation

Job description

Applied Intuition, based in Sunnyvale, CA, is building the calibration framework for a growing autonomous fleet. The role focuses on a scalable calibration pipeline enabling multi-sensor fusion and robust parameter estimation across cameras, LiDAR, radar, IMU, GNSS and more.

You will work with the core calibration team and other groups to push offline and online calibration capabilities, improving product experience and production workflows.