---
title: 'Staff Machine Learning Engineer at Sonatus'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-sonatus-dublin-x5darq0g8hs2'
type: 'job'
last_seen: '2026-09-11'
---

# Staff Machine Learning Engineer at Sonatus

- **Company:** Sonatus
- **Location:** Dublin, Ireland
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/sonatus/jobs/5196364007

## Job description

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. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding.

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. Join us and help redefine what’s possible as we shape the future of mobility.

Sonatus is a global leader in the automotive industry providing key technologies that enable the intelligent software-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Staff Machine Learning Engineer to join our seasoned ML team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces and vehicle internal signals (Ethernet and CAN) to detect and predict health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline—from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have deep understanding and expertise of vehicle software and systems and other AI developers working on ML ops and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools.

This is a hybrid role out of our Dublin, IE, where you will be expected to work in our office 3 days a week. Option for remote work if located in different geographies.

Duties and Responsibilities

- Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM) to process unstructured application logs, kernel traces and multi-modalities.
- Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation.
- Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors.
- Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors.
- Implement logic to correlate signal anomalies (e.g., voltage spikes, latency jitters), across different modalities with system events to identify root causes.
- Port and optimize pytorch/TensorFlow models into production-grade for execution on CPU/GPU bound targets or embedded NPUs.
- Apply quantization, pruning, distillation and memory optimization to ensure models run within strict RAM/Flash budgets (think MBs, not GBs).
- Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud.
- Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI.

## Qualifications and Experience

- 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 (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), or lightweight LLMs/SLMs.
- Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data.
- Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment.  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.
- Candidates with a strong Computer Vision (CV) track record are highly encouraged to apply.

Desired Skills and Experience

- 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.

## About Sonatus

## Company Overview
- **One-liner**: Sonatus delivers an AI-powered software platform for software-defined vehicles, enabling OEMs and suppliers to reduce costs, accelerate time-to-market, and continuously improve vehicles across their lifecycle.
- **Entity Type**: Private (venture-backed)
- **Headquarters**: Sunnyvale, California, USA
- **Founded**: 2018
- **Founders**: Jeff Chou (CEO) and Yu Fang (CTO)

## Core Business
- **Primary industry/industries**: Automotive software, artificial intelligence, software-defined vehicles (SDVs)
- **Target customers**: Global automakers (OEMs) and Tier 1 suppliers (B2B, Enterprise)
- **Mission or purpose statement**: To simplify and accelerate the digital transformation of the automobile by building AI-native software that spans the full vehicle lifecycle.

## Products & Services
- **Sonatus Foundation**: A flexible vehicle software architecture that provides the foundational platform for building and evolving software-defined vehicles.
- **Sonatus Collector AI**: Enables dynamic, intelligent data collection from vehicles to drive continuous improvements and insights.
- **Sonatus AI Director**: An end-to-end toolchain for developing, deploying, and monitoring in-vehicle edge AI models.
- **Sonatus AI Technician**: AI-powered diagnostic assistants that support pre-production testing through post-sales services.
- **Sonatus Updater**: Secure, predictable management of vehicle software updates with end-to-end traceability.
- **Sonatus Automator AI**: A no-code solution for accelerating time-to-market and enabling rapid innovation.

*All products are software/SaaS or platform-based, delivered as a combination of in-vehicle software and cloud services.*

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Technology deployed in **over 8 million vehicles** globally (as of 2025/2026) – [sonatus.com](https://www.sonatus.com/)
- **Notable Investors/Partners**: Backed by investors in the automotive, semiconductor, and venture capital sectors (specific names not publicly named on the website); partners with leading global automakers and Tier 1 suppliers.
- **Growth Signals**: Rapid expansion with offices in 12+ countries (USA, Canada, Ireland, France, Germany, Poland, India, China, Taiwan, South Korea, Japan, Philippines); ~300 employees (Built In); actively hiring across engineering, AI, and customer success roles.

## Competitive Advantages
- **AI-native from the ground up**: Unlike legacy automotive software providers, Sonatus built its platform specifically for AI-defined vehicles, enabling deeper integration and better performance.
- **Proven scale and trust**: Already deployed in millions of production vehicles from top global OEMs, demonstrating reliability and safety in real-world conditions.
- **Full lifecycle coverage**: Spans pre-production testing, production, and post-sales services – a rare end-to-end offering.
- **Agile integration**: Collaborates closely with OEMs and Tier 1s, using agile methods that complement traditional automotive development processes.

## Strategic Focus
- **Expand AI capabilities**: Continuing to develop agentic AI, data analytics, and automation tools for the vehicle edge and cloud.
- **New revenue streams**: Helping automakers unlock value-added services and business models based on vehicle data.
- **Global scaling**: Deepening presence in key automotive markets (Europe, Asia, North America) while hiring top AI and engineering talent worldwide.

## Why Work Here
- **Mission-driven challenges**: Employees work on cutting-edge AI and automotive problems that directly impact the future of mobility.
- **Hybrid work model**: Offices in Sunnyvale, Dublin, Paris, Seoul, and more; hybrid policy typically requires 3 days in-office per week, with some roles fully remote.
- **Collaborative culture**: Described as "talented and diverse" with specialists from automotive, data centers, semiconductors, and enterprise software.
- **Growth opportunity**: Well-funded and rapidly growing company with a proven product in production, offering the stability of a mature startup with the excitement of scaling.
- **Global presence**: Multiple office hubs and remote-friendly roles across North America, Europe, and Asia provide flexibility.

## Sources
1. [Sonatus Official Website – About](https://www.sonatus.com/company/)
2. [Sonatus Official Website – Products](https://www.sonatus.com/)
3. [Sonatus Careers Page (Greenhouse)](http://job-boards.greenhouse.io/sonatus)
4. [Sonatus Careers Page – Locations](https://www.sonatus.com/company/careers/)
5. [Built In Profile – Sonatus](https://builtin.com/company/sonatus)

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