Sonatus
Senior Staff Machine Learning Engineer
Sunnyvale, CA · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$28,653 more — $255,653 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $255,653 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- That's why leading OEMs trust Sonatus to accelerate this shift.
- Our technology is already in production across more than 9 million vehicles on the road today and rapidly expanding.
- Join us and help redefine what's possible as we shape the future of mobility.
Responsibilities
- Build and train AI Edge models (e.g., Transformers, LLMs, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities.
- Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors.
- 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.
- Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field.
- 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.
- Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector stores, or lightweight LLMs/SLMs.
- Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data.
- Ability to communicate with stakeholders and articulate trade-offs.
- Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources.
Skills
- MS/PhD in Computer Science, Engineering, or related fields.
- Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT.
- Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging.
- Experience with NVIDIA TensorRT, Qualcomm SNPE.
- Sunnyvale HQ Benefits & Perks Offered:
- Health care plan (Medical, Dental & Vision)
- Flexible and Dependent Care Expense program
- Retirement plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Unlimited paid time off per year, 14+ paid holidays
- Hybrid office work arrangement
- Complimentary lunches, snacks, and beverages during on-site working days
Compensation
- $227,000 - $300,000 USD
Benefits
- Wellness benefit allowance
- Phone & Internet reimbursement
- Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors.
Company info
- At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles.
- Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously.
- Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner.
- Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry.
This listing is sourced directly from Sonatus's careers page and normalized into a canonical job model.