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 for in-vehicle health monitoring and prediction. Your responsibilities include building and deploying AI models to analyze vehicle data, optimizing models for edge devices, and mentoring junior engineers. You will work in a collaborative environment, experimenting with advanced model architectures and integrating machine learning flows.
- benefits
- 1/5
- 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, sequence modeling (RNN/GRU), or lightweight LLMs/SLMs
Nice to have
- MS/PhD in Computer Science, Engineering, or related fields
- Familiarity with Edge systems and preferably automotive (CAN (DBC files), UDS, SOME/IP, or MQTT)
- Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging
- Experience with NVIDIA TensorRT, Qualcomm SNPE
Worth weighing
- Hybrid role requiring 3 days in the Dublin office
- Focus on Edge AI may limit exposure to other areas of machine learning
- 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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