Perception Validation Engineer (Autonomous Vehicles)

Location: Santa Clara, California, United States; hybrid workplace

Company

hirify.global develops autonomous vehicle technology focused on AI-based perception and safe real-world operation.

What you will do

• Define statistically sound validation metrics and benchmarks for camera, LiDAR, radar, and sensor-fusion perception stacks.
• Design and maintain scalable automated regression pipelines for real-world and synthetic datasets.
• Oversee high-fidelity ground-truth generation using automated labeling, offline perception models, and manual curation.
• Mine and categorize edge cases, sensor degradations, and long-tail anomalies affecting perception reliability.
• Partner with the Perception ML team to analyze failures, identify root causes, and close the loop with model training.
• Collaborate on sensor models, synthetic scenarios, verification reports, safety cases, and release readiness.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related quantitative field.
• 2+ years of professional experience in testing, validation, or development of robotics, autonomous systems, or computer vision models.
• Strong proficiency in Python, including NumPy, Pandas, and Pytest, and/or C++.
• Experience analyzing and visualizing large-scale datasets, using SQL or data lake queries, and applying statistical methods to model evaluation.
• Understanding of computer vision, deep learning, spatial geometry, 3D transformations, and coordinate frames.

Nice to have

• Experience with ROS or ROS2, cloud infrastructure such as AWS, GCP, or Azure, Docker, and Kubernetes.
• Experience with PyTorch and machine learning validation tools.
• Understanding of ISO 26262 and ISO 21448/SOTIF functional safety standards.
• Experience with CI/CD pipelines such as Jenkins or GitHub CI for automated testing.

Culture & Benefits

• Work at the intersection of applied AI and rigorous systems engineering.
• Collaborate with Perception ML and Simulation teams.
• Contribute to autonomous vehicle safety, regulatory compliance, and software release quality.
• Full-time hybrid work arrangement in Santa Clara, California.