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Sonatus

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 Staff Machine Learning Engineer at Sonatus, you will lead the development of Edge AI solutions for in-vehicle health monitoring and prediction. Your role involves building and deploying AI models that analyze vehicle data, optimizing these models for resource-constrained environments, and mentoring junior engineers. You will work in a collaborative, fast-paced environment, focusing on cutting-edge technologies to enhance vehicle reliability and performance.

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
  • 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 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 and sequence modeling

Nice to have

  • MS/PhD in Computer Science, Engineering, or related fields
  • Familiarity with Edge systems and automotive formats (CAN, DBC, UDS, SOME/IP, MQTT)
  • Understanding of Linux/QNX kernel logs 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

  • Hybrid role requires 3 days in the office per week
  • Posted salary range is broad and may vary based on multiple factors
  • Fast-paced startup environment may involve ambiguity and rapid changes

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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