Senior Edge AI Engineer — In-Vehicle Health & Diagnostics

Sonatus; San Jose (CA); Hybrid; USD 197,500 - 272,000; Full time

Benefits offered by this job

Health care plan (Medical, Dental &amp

Flexible and Dependent Care Expense

Retirement plan (401k)

Life Insurance (Basic, Voluntary &

Unlimited paid time off per year, 14+

Hybrid office work arrangement

Complimentary lunches, snacks, and be…

Wellness benefit allowance

Phone & Internet reimbursement

Computer Accessory Allowance

Job summary

Sonatus is seeking a Staff AI Engineer in Sunnyvale, CA to lead edge AI development for in‑vehicle health monitoring. You will own the end‑to‑end ML pipeline from data ingestion to deployment on resource‑constrained edge devices.

You will collaborate with a seasoned AI team, optimize models for production on embedded systems, and mentor junior engineers while advancing production‑grade AI on the road.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field.
• 7+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems.
• Proven experience mentoring junior engineers in software development.
• Expert Python (for training) and decent working knowledge of modern C++ (C++14/17 for inference).
• Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM.

Responsibilities

• Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi‑modalities.
• Integrate ML flows, including cloud‑based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation.
• Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors.
• Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time‑series data from CAN bus and on‑board sensors.
• Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes.
• Port and optimize PyTorch/TensorFlow models into production‑grade models for execution on CPU/GPU‑bound targets or embedded NPUs.
• Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets.
• Define the data strategy for on‑device filtering: pre‑processing on device and decide which data is processed locally versus processed in the cloud.
• Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI.

Skills

Python (training)

C++ (inference)

PyTorch

TensorFlow

NLP techniques

Edge AI

Leadership mentoring

Deployment to Edge

Education

Bachelor's degree in CS/EE/SE

Tools

ONNX

TFLite

TVM

NVIDIA TensorRT

Qualcomm SNPE

Job description

Sonatus is seeking a Staff AI Engineer in Sunnyvale, CA to lead edge AI development for in‑vehicle health monitoring. You will own the end‑to‑end ML pipeline from data ingestion to deployment on resource‑constrained edge devices.

You will collaborate with a seasoned AI team, optimize models for production on embedded systems, and mentor junior engineers while advancing production‑grade AI on the road.