Validation Software Engineer

Phantom AI•Mountain View, CA

3d•$120,000 - $160,000•Hybrid

About The Position

At Phantom AI, we’re on a mission to redefine vehicle safety and autonomy. Our System & Validation Team builds the tools and infrastructure to ensure our products meet the highest reliability, performance, and safety standards. We’re looking for a software engineer who thrives at the intersection of software design, machine learning, data science, and simulation. What You’ll Do Simulation: Improve the efficiency, reliability, and trustworthiness of our simulation framework(HILS and SILS). Our simulations replay real-world sensor and vehicle data into the vision software running on actual boards, enabling deterministic validation of behavior and decision-making. Data Logging & Telemetry: Design and maintain high-throughput logging services to capture raw sensor data (Camera, Radar, LiDAR) and vehicle bus data (CAN/Ethernet). Ensure data integrity and time synchronization across distributed systems Optimize & Scale: Enhance the performance and scalability of our evaluation frameworks. Build Validation Infrastructure: Design, develop, and maintain tools for data collection, data processing, simulation, evaluation, visualization, and analysis. Cross‑Functional Collaboration: Work closely with ML researchers, perception engineers, and vehicle test engineers to translate requirements into robust vision software.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
2+ years of experience delivering complex, production-quality software
Expert-level Python skills and solid software‑design experience
Proficiency with Git and familiarity with C++
Comfortable on Linux: command‑line fluency, Bash scripting, and debugging
Working knowledge of ROS (preferably ROS 2)
Hands-on experience with HILS, SILS, or board-level simulation system setup and maintenance
Experience with vehicle communication protocols (CAN, Ethernet) and data logging workflows

Nice To Haves

Hands‑on experience in ADAS, computer vision, autonomous driving, or robotics
Working knowledge of OpenCV
Knowledge of hardware debugging and electrical/electronic system integration
Master’s degree or higher in a relevant area

Responsibilities

Improve the efficiency, reliability, and trustworthiness of our simulation framework(HILS and SILS)
Design and maintain high-throughput logging services to capture raw sensor data (Camera, Radar, LiDAR) and vehicle bus data (CAN/Ethernet)
Ensure data integrity and time synchronization across distributed systems
Enhance the performance and scalability of our evaluation frameworks
Design, develop, and maintain tools for data collection, data processing, simulation, evaluation, visualization, and analysis
Work closely with ML researchers, perception engineers, and vehicle test engineers to translate requirements into robust vision software.