Staff Machine Learning Engineer – Edge AI
Compensation
$198k – $272k /yr
Employment type
Full-time
Work setting
On-site
Location
Mountain View, CA
Schedule
Day shift
Posted
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Job overview
The Staff Machine Learning Engineer – Edge AI is a hybrid role based in Sunnyvale, CA, with three days per week in the office. The posted base salary range is $197,500–$272,000 per year. The role supports Sonatus’s AI team in developing production-grade Edge AI for software-defined vehicles. The engineer leads development of models that analyze vehicle logs, traces, and internal signals to monitor subsystem health and anticipate failures. Ownership spans the machine-learning pipeline from data ingestion and training through deployment and optimization on resource-constrained edge devices, contributing to fleet reliability and vehicle software development.
What you'll do
- Build and train Edge AI models for application logs, kernel traces, and multimodal data
- integrate machine-learning flows, including cloud-based LLM APIs and synthetic data creation
- develop log clustering and software-regression detection
- design models to monitor CAN bus and sensor time-series data
- correlate signal anomalies with system events
- optimize PyTorch or TensorFlow models for CPU, GPU, or embedded NPU targets
- apply quantization, pruning, distillation, and memory optimization
- define on-device data filtering strategy
- lead edge ML pipeline architecture and mentor junior engineers.
What we're looking for
- Skills & competencies
- staff machine learning engineeredge aiautomotive aimachine learningembedded systemspytorchtensorflowcan busanomaly detectionsunnyvale cahybrid 3 days in office$197,500–$272,000/year
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental, and vision plan
- flexible and dependent care expense program
- 401(k)
- life insurance
- unlimited paid time off
- 14+ paid holidays
- wellness allowance
- phone and internet reimbursement
- computer accessory allowance
- complimentary on-site meals and snacks.
Why this role
Hybrid schedule with three office days weekly; end-to-end ownership of production Edge AI for in-vehicle health monitoring and prediction.
About the employer
Sonatus is hiring for this role. Industry: Engineering Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Engineering Services
- Occupation code
- 15-2051.00
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Listing ID: 7b2eab0b-002f-4778-9ef6-cb49fa22b31e