Staff Machine Learning Engineer – Edge AI

Job overview

Compensation is $197,500–$272,000 per year. The Staff Machine Learning Engineer – Edge AI role is hybrid in Sunnyvale, CA, with an expected three office days per week; in the structured listing. Sonatus develops AI-enabled software-defined vehicle technologies, and this role supports its AI team’s in-vehicle health monitoring and prediction work. The engineer owns the edge machine-learning pipeline from data ingestion and model training through deployment and optimization on resource-constrained devices. The work helps detect system anomalies and anticipate vehicle subsystem failures, contributing to fleet reliability and production-grade vehicle AI.

What you'll do

• Build and train edge AI models
• integrate machine-learning flows and cloud LLM APIs
• cluster log patterns and detect regressions and crash precursors
• develop models for CAN bus and sensor time-series monitoring
• correlate signal anomalies with system events
• optimize models for CPU, GPU, or embedded NPU targets
• apply quantization, pruning, distillation, and memory optimization
• define on-device data processing strategy
• lead edge ML architecture and mentor junior engineers.

What we're looking for

Skills & competencies

staff machine learning engineer

edge ai

embedded systems

automotive ai

machine learning

pytorch

tensorflow

sunnyvale ca

sonatus

hybrid

3 office days

$197,500–$272,000

full-time

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, and vision
• flexible and dependent care expense program
• 401(k)
• life insurance
• unlimited paid time off
• 14+ paid holidays
• hybrid work
• on-site meals and snacks
• wellness allowance
• phone and internet reimbursement
• computer accessory allowance.

Why this role

Hybrid arrangement requires three office days weekly. The posting lists a base salary range of $197,500–$272,000 per year.

About the employer

Sonatus is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.