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.

We are seeking a highly motivated AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for high-quality implementation of an Agentic Framework to support our AI applications. You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time. We need a "builder" who thrives on the technical details of multi-agent orchestration, tool-calling optimization, and LLM security. You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment. This is a hands-on role for an engineer who prioritizes execution, code quality, and system reliability for multi-agent systems, AI technologies and platforms.

This is a hybrid role based in our Dublin, IE office, where you will be expected to work in our office 3 days a week.

Duties and Responsibilities

• Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
• Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks.
• Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts
• Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution
• Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth).
• Strong domain expertise in the AI area including LLM, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
• Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
• Perform data analysis and offer insights to inform business decisions across multiple domains.
• Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
• Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
• Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
• Take charge of projects, ensuring timely completion in a dynamic work environment.

Qualifications and Experience

• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
• Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience building multi-agent systems and frameworks with adaptive orchestration
• Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
• In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
• Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Strong knowledge of software development best practices, version control systems, and agile methodologies.
• Results-driven with a positive can-do attitude and excellent problem-solving skills.
• Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
• Experience in the automotive industry is highly desirable.

Sonatus is at the forefront of the automotive industry’s transformation into a software-defined future, where vehicles are continuously evolving platforms rather than static products. This shift creates a unique opportunity to work on cutting-edge technologies that directly impact how OEMs design, deploy, and enhance their vehicles. At Sonatus, employees are empowered to innovate, collaborate with leading automakers, and solve complex, real-world challenges at scale. It’s an environment where forward-thinking engineers and leaders can shape the next generation of mobility while growing alongside a company driving meaningful change across the industry.

Sonatus is seeking a highly motivated, experienced AI Engineer to join our Customer Engineering (CE) team and help deliver AI-driven solutions for automotive OEM and Tier-1 customers.

In this role, you will work directly with customers to understand real-world challenges in their vehicle environments and translate those challenges into practical solutions using Sonatus AI technologies.

A key responsibility of this role is to integrate and deploy AI capabilities on top of the Sonatus AI platform within cloud environments (Sonatus or customer-managed) while ensuring seamless interaction with vehicle-side systems and data.

This position operates in a forward-deployed engineering model, working closely with customer engineering teams to deliver end-to-end solutions from problem definition to deployment.

Role and Responsibilities:

• Partner with automotive OEMs and Tier 1 suppliers to identify, shape, and prioritize high-impact AI-driven use cases, guiding customers toward scalable and high-leverage solutions
• Act as a trusted advisor to customers by shaping problem definition, challenging assumptions, and guiding technical decision-making toward scalable AI solutions
• Drive alignment and adoption of solutions by clearly articulating trade-offs, ROI, and long-term architectural implications to technical and executive stakeholders
• Design, integrate, and deploy AI/ML-based solutions across cloud and in-vehicle environments, enabling end-to-end vehicle-to-cloud use cases with reliable data flow and system interoperability
• Develop and iterate AI models, PoCs, and production-ready solutions, continuously improving performance based on real-world data and customer feedback
• Lead technical discussions and solution reviews focused on AI feasibility, model performance, trade-offs, and system limitations
• Identify risks related to AI deployment and integration (e.g., data availability, security constraints, model reliability) and drive mitigation strategies
• Collaborate with internal teams (AI Platform, Product, Engineering) to enhance AI capabilities, model deployment pipelines, and platform scalability

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)
• 12+ years of experience in AI / Machine Learning, Data Engineering, or related domains, with exposure to automotive software or vehicle systems
•  Solid understanding of machine learning, data analytics, and AI-based systems, including practical experience delivering real-world solutions
• Experience designing and working with data pipelines, analytics workflows, and model-driven systems
• Strong experience deploying and operating software in cloud environments (AWS, Azure, GCP, or customer-managed infrastructure)
• Experience integrating platform-based solutions with external systems, data pipelines, and APIs
• Familiarity with containerization and deployment technologies such as Docker and Kubernetes
• Strong hands-on experience developing, integrating, and deploying AI/ML-based solutions in production environments
• Proven ability to influence customer direction and drive technical decision-making in customer-facing engagements
• Experience leading technical discovery, shaping ambiguous problem spaces, and proposing scalable solution approaches
• Proven ability to communicate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders
• Ability to operate effectively in ambiguous environments and drive clarity, alignment, and execution
• Experience in customer engineering, solution engineering, or forward-deployed engineering roles is highly preferred
• Familiarity with modern AI methodologies such as Agentic AI, Retrieval-Augmented Generation (RAG), or data-driven automation is a plus

Sonatus is at the forefront of the automotive industry’s transformation into a software-defined future, where vehicles are continuously evolving platforms rather than static products. This shift creates a unique opportunity to work on cutting-edge technologies that directly impact how OEMs design, deploy, and enhance their vehicles. At Sonatus, employees are empowered to innovate, collaborate with leading automakers, and solve complex, real-world challenges at scale. It’s an environment where forward-thinking engineers and leaders can shape the next generation of mobility while growing alongside a company driving meaningful change across the industry.

Sonatus is seeking a highly motivated, experienced AI Engineer to join our Customer Engineering (CE) team and help deliver AI-driven solutions for automotive OEM and Tier-1 customers.

In this role, you will work directly with customers to understand real-world challenges in their vehicle environments and translate those challenges into practical solutions using Sonatus AI technologies.

A key responsibility of this role is to integrate and deploy AI capabilities on top of the Sonatus AI platform within cloud environments (Sonatus or customer-managed) while ensuring seamless interaction with vehicle-side systems and data.

This position operates in a forward-deployed engineering model, working closely with customer engineering teams to deliver end-to-end solutions from problem definition to deployment.

Role and Responsibilities:

• Partner with automotive OEMs and Tier 1 suppliers to identify, shape, and prioritize high-impact AI-driven use cases, guiding customers toward scalable and high-leverage solutions
• Act as a trusted advisor to customers by shaping problem definition, challenging assumptions, and guiding technical decision-making toward scalable AI solutions
• Drive alignment and adoption of solutions by clearly articulating trade-offs, ROI, and long-term architectural implications to technical and executive stakeholders
• Design, integrate, and deploy AI/ML-based solutions across cloud and in-vehicle environments, enabling end-to-end vehicle-to-cloud use cases with reliable data flow and system interoperability
• Develop and iterate AI models, PoCs, and production-ready solutions, continuously improving performance based on real-world data and customer feedback
• Lead technical discussions and solution reviews focused on AI feasibility, model performance, trade-offs, and system limitations
• Identify risks related to AI deployment and integration (e.g., data availability, security constraints, model reliability) and drive mitigation strategies
• Collaborate with internal teams (AI Platform, Product, Engineering) to enhance AI capabilities, model deployment pipelines, and platform scalability

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)
• 12+ years of experience in AI / Machine Learning, Data Engineering, or related domains, with exposure to automotive software or vehicle systems
•  Solid understanding of machine learning, data analytics, and AI-based systems, including practical experience delivering real-world solutions
• Experience designing and working with data pipelines, analytics workflows, and model-driven systems
• Strong experience deploying and operating software in cloud environments (AWS, Azure, GCP, or customer-managed infrastructure)
• Experience integrating platform-based solutions with external systems, data pipelines, and APIs
• Familiarity with containerization and deployment technologies such as Docker and Kubernetes
• Strong hands-on experience developing, integrating, and deploying AI/ML-based solutions in production environments
• Proven ability to influence customer direction and drive technical decision-making in customer-facing engagements
• Experience leading technical discovery, shaping ambiguous problem spaces, and proposing scalable solution approaches
• Proven ability to communicate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders
• Ability to operate effectively in ambiguous environments and drive clarity, alignment, and execution
• Experience in customer engineering, solution engineering, or forward-deployed engineering roles is highly preferred
• Familiarity with modern AI methodologies such as Agentic AI, Retrieval-Augmented Generation (RAG), or data-driven automation is a plus

Sonatus is at the forefront of the automotive industry’s transformation into a software-defined future, where vehicles are continuously evolving platforms rather than static products. This shift creates a unique opportunity to work on cutting-edge technologies that directly impact how OEMs design, deploy, and enhance their vehicles. At Sonatus, employees are empowered to innovate, collaborate with leading automakers, and solve complex, real-world challenges at scale. It’s an environment where forward-thinking engineers and leaders can shape the next generation of mobility while growing alongside a company driving meaningful change across the industry.

Sonatus is seeking a highly motivated, experienced AI Engineer to join our Customer Engineering (CE) team and help deliver AI-driven solutions for automotive OEM and Tier-1 customers.

In this role, you will work directly with customers to understand real-world challenges in their vehicle environments and translate those challenges into practical solutions using Sonatus AI technologies.

A key responsibility of this role is to integrate and deploy AI capabilities on top of the Sonatus AI platform within cloud environments (Sonatus or customer-managed) while ensuring seamless interaction with vehicle-side systems and data.

This position operates in a forward-deployed engineering model, working closely with customer engineering teams to deliver end-to-end solutions from problem definition to deployment.

Role and Responsibilities:

• Partner with automotive OEMs and Tier 1 suppliers to identify, shape, and prioritize high-impact AI-driven use cases, guiding customers toward scalable and high-leverage solutions
• Act as a trusted advisor to customers by shaping problem definition, challenging assumptions, and guiding technical decision-making toward scalable AI solutions
• Drive alignment and adoption of solutions by clearly articulating trade-offs, ROI, and long-term architectural implications to technical and executive stakeholders
• Design, integrate, and deploy AI/ML-based solutions across cloud and in-vehicle environments, enabling end-to-end vehicle-to-cloud use cases with reliable data flow and system interoperability
• Develop and iterate AI models, PoCs, and production-ready solutions, continuously improving performance based on real-world data and customer feedback
• Lead technical discussions and solution reviews focused on AI feasibility, model performance, trade-offs, and system limitations
• Identify risks related to AI deployment and integration (e.g., data availability, security constraints, model reliability) and drive mitigation strategies
• Collaborate with internal teams (AI Platform, Product, Engineering) to enhance AI capabilities, model deployment pipelines, and platform scalability

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)
• 12+ years of experience in AI / Machine Learning, Data Engineering, or related domains, with exposure to automotive software or vehicle systems
•  Solid understanding of machine learning, data analytics, and AI-based systems, including practical experience delivering real-world solutions
• Experience designing and working with data pipelines, analytics workflows, and model-driven systems
• Strong experience deploying and operating software in cloud environments (AWS, Azure, GCP, or customer-managed infrastructure)
• Experience integrating platform-based solutions with external systems, data pipelines, and APIs
• Familiarity with containerization and deployment technologies such as Docker and Kubernetes
• Strong hands-on experience developing, integrating, and deploying AI/ML-based solutions in production environments
• Proven ability to influence customer direction and drive technical decision-making in customer-facing engagements
• Experience leading technical discovery, shaping ambiguous problem spaces, and proposing scalable solution approaches
• Proven ability to communicate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders
• Ability to operate effectively in ambiguous environments and drive clarity, alignment, and execution
• Experience in customer engineering, solution engineering, or forward-deployed engineering roles is highly preferred
• Familiarity with modern AI methodologies such as Agentic AI, Retrieval-Augmented Generation (RAG), or data-driven automation is a plus

We’re looking for a highly skilled and experienced Senior Frontend Software Engineer based in Dublin, Ireland to join our team at the forefront of the Software Defined Vehicle (SDV) revolution. This is a high-impact role where you will help to build the web platform that serves as the backbone for our primary product lines. 

The ideal candidate is a proactive problem-solver with a mastery of the React ecosystem. You won't just be writing code; you will be driving innovation and delivering the robust, scalable solutions essential to our core business strategy.

Your Impact

Reporting directly to the Senior Engineering Manager, you will take full ownership of the development lifecycle for mission-critical features. You will navigate the complexities of a highly innovative industry. If you have a proven track record of scaling complex web applications and a passion for the future of mobility, we want to talk to you.

This is a hybrid role based in our Dublin, IE office, where you will be expected to work in our office 3 days a week.

 Responsibilities

• Design, develop, and maintain complex web applications with a focus on scalability, performance, and maintainability.
• Build and maintain robust, responsive frontend components and user interfaces with React.js, TypeScript, and Ant Design.
• Define and implement testing strategies, including unit, integration, and end-to-end testing.
• Work closely with Product, UX, QA, and other engineering teams to plan, build, and deliver key features.
• Translate UI/UX designs into pixel-perfect implementations, ensuring accessibility, responsiveness, and user-friendliness.
• Lead technical discussions, share knowledge, and contribute to internal engineering documentation and talks.
• Promote engineering excellence through adoption of best practices, developer tooling improvements, and continuous learning initiatives.
• Provide thoughtful and rigorous code reviews, mentoring mid-level and junior engineers to foster a culture of technical growth and high-quality standards.
• Monitor and optimize frontend performance (Core Web Vitals) and implement observability patterns to proactively identify and resolve production issues.

 Requirements

• A seasoned engineer with 5+ years of experience building and scaling complex web applications.
• Strong proficiency in modern frontend technologies: TypeScript, JavaScript, React and related web development tools.
• Deep understanding of component-based architecture and state management in modern JavaScript frameworks.
• Proven ability to lead the full software development lifecycle — from architectural planning and implementation to testing, debugging, documentation, and maintenance.
• Demonstrated ability to influence product roadmap decisions by providing technical feasibility assessments and proposing alternative solutions to complex business problems.

We’re looking for a highly skilled and experienced Senior Full Stack Software Engineer based in Dublin, Ireland, with a demonstrated history of successfully leading complex web application projects. The ideal candidate is a proactive problem-solver with deep expertise across both frontend and backend technologies, capable of driving innovation and delivering robust software solutions that are central to our core business.

In this role, you will take ownership of the full lifecycle development of key features for our web platform—the backbone of our business that supports multiple major product lines. You will report directly to the Senior Engineering Manager.

 Responsibilities

• Design, develop, and maintain complex, fullstack web applications with a focus on scalability, performance, and maintainability.
• Architect and implement backend APIs and services using Node.js and Express (or similar frameworks).
• Build and maintain robust, responsive frontend components and user interfaces with React.js, TypeScript, and Ant Design.
• Develop and integrate with GraphQL, REST APIs to power interactive and real-time features.
• Design and optimize relational and NoSQL database schemas; write efficient queries for performance and scalability.
• Define and implement testing strategies, including unit, integration, and end-to-end testing.
• Work closely with Product, UX, QA, and other engineering teams to plan, build, and deliver key features.

Translate UI/UX designs into pixel-perfect implementations, ensuring accessibility, responsiveness, and user-friendliness.

• Lead technical discussions, share knowledge, and contribute to internal engineering documentation and talks.
• Promote engineering excellence through adoption of best practices, developer tooling improvements, and continuous learning initiatives.

 Requirements

• A seasoned engineer with 5+ years of experience building and scaling complex web applications.
• Strong proficiency in modern frontend technologies: TypeScript, JavaScript, React.js, Node.js, GraphQL, and related web development tools.
• Deep understanding of component-based architecture and state management in modern JavaScript frameworks.
• Proficiency in server-side development using Node.js/Express or similar frameworks, with experience designing scalable backend systems and APIs.
• Solid knowledge of relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB), including schema design and performance optimization.
• Familiarity with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes for application deployment and scaling.
• Proven ability to lead the full software development lifecycle—from architectural planning and implementation to testing, debugging, documentation, and maintenance.

Benefits Offered:

• Competitive compensation and stock option offerings
• Time off (national holidays and statutory annual leave provisions apply)
• Health care plan (Medical, dental)
• Income protection and Life insurance benefits
• Pension plan
• Fitness Allowance
• Phone & internet reimbursement
• IT Equipment allowance
• Snack and drinks in office