Senior Staff AI Engineer (Edge AI)

Location: Hybrid role based in Sunnyvale, California; work from the office 3 days per week.

Base salary: $227,000–$300,000 USD per year

Company

hirify.global develops software and AI technologies for software-defined vehicles, with solutions deployed across more than 8 million vehicles.

What you will do

• Build and train Edge AI models using Transformers, LLMs, CNNs, LSTMs, tree-based models, and multimodal vehicle data.
• Own the ML pipeline from data ingestion and training through deployment on resource-constrained edge devices.
• Develop clustering and anomaly-detection algorithms for logs, kernel traces, CAN bus data, and onboard sensor time series.
• Correlate signal anomalies, system events, and vehicle diagnostics to identify root causes and predict subsystem failures.
• Port and optimize PyTorch and TensorFlow models for CPU, GPU, and embedded NPU targets using quantization, pruning, distillation, and memory optimization.
• Lead edge ML pipeline architecture and mentor junior engineers on embedded AI best practices.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, or a related field.
• 10+ years of Machine Learning Engineering experience, including 3+ years focused on Edge AI or embedded systems.
• Expert Python and working knowledge of modern C++14/17 for inference.
• Deep proficiency with PyTorch or TensorFlow and inference engines such as ONNX, TFLite, or TVM.
• Experience with NLP, sequence modeling, vector stores or lightweight LLMs, and anomaly detection for sensor data.
• Experience deploying to ARM-based edge environments, managing memory manually, and working with limited compute resources.

Nice to have

• MS or PhD in Computer Science, Engineering, or a related field.
• Automotive formats and protocols such as CAN, DBC, UDS, SOME/IP, or MQTT.
• Computer Vision or ADAS experience.
• Linux or QNX kernel-log analysis and OS-level debugging.
• NVIDIA TensorRT or Qualcomm SNPE experience.

Culture & Benefits

• Hybrid office work arrangement with on-site lunches, snacks, and beverages.
• Medical, dental, and vision coverage.
• 401(k) retirement plan, life insurance, and flexible and dependent care expense programs.
• Unlimited paid time off and 14+ paid holidays.
• Wellness allowance, phone and internet reimbursement, and computer accessory allowance.