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Sonatus

Senior Staff Machine Learning Engineer

Sonatus · Sunnyvale, CA

Posted about 3 months ago

or apply directly on Sonatus's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Sonatus's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Sonatus's roles list one
Ghost-job risk at Sonatus
high
26 stale, 0 reposted of 26 open
Hiring momentum
29 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Sonatus's own greenhouse board since 2026-08-03. Full hiring picture for Sonatus.

About this role

As a Senior Staff Machine Learning Engineer at Sonatus, you will lead the development of Edge AI for in-vehicle health monitoring and prediction. Your role involves building and deploying AI models that analyze vehicle data to detect and predict subsystem health, managing the entire ML pipeline from data ingestion to deployment on edge devices. You will collaborate with a team of experienced developers and work in a fast-paced environment, experimenting with advanced model architectures and tools.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Sonatus as an employer.

What you need

  • Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, or a related field
  • 10+ 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 and decent working knowledge of modern C++ (C++14/17)
  • 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

Nice to have

  • 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

What you get

  • 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

Worth weighing

  • No specific mention of remote work flexibility beyond hybrid arrangement
  • The salary range is broad and may vary based on multiple factors
  • Fast-paced startup environment may imply high pressure and ambiguity

Summarised from Sonatus's posting. Read the full original.

Listed by Sonatus on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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