Sonatus is seeking a highly motivated Senior/Staff 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

Sunnyvale HQ Benefits & Perks Offered:

• 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
• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowance
• Phone & Internet reimbursement
• Computer Accessory Allowance

Sonatus is headquartered in Sunnyvale, California with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan and Japan. This is a(n) hybrid position at our Korea location. You will report to Customer Engineering Director.

The Opportunity

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 Senior/Staff 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 own the integration and deployment of AI capabilities on the Sonatus AI platform across cloud environments (Sonatus or customer-managed) and vehicle systems, ensuring reliable, scalable, and seamless interaction between vehicle-side data and cloud-based intelligence.

This role operates in a forward-deployed engineering model, partnering closely with customer teams to define problems, build solutions, and drive production deployment and adoption end-to-end.

Role and Responsibilities

• Own end-to-end delivery of AI-driven solutions, from problem definition and use case shaping to production deployment, adoption, and measurable customer impact
• Lead and own customer engagements and project execution, particularly for Korea-based programs, driving alignment, execution, and successful delivery across customer and internal teams
• Partner directly with OEM and Tier-1 customers to identify ambiguous problems, challenge assumptions, and drive high-leverage technical and business outcomes as a trusted advisor
• Design, build, and deploy AI/ML solutions across vehicle, edge, and cloud environments, including data pipelines, model development, system integration, and continuous iteration based on real-world data
• Lead system integration across vehicle and cloud ecosystems, ensuring reliable data flow, interoperability, and seamless interaction between in-vehicle systems and backend platforms
• Drive technical decision-making and alignment, clearly communicating trade-offs, constraints, and long-term architectural implications to both technical and executive stakeholders
• Own production deployment, scaling, and reuse, ensuring solutions are successfully adopted and expanded across vehicle programs, platforms, and regions
• Collaborate cross-functionally with Product, AI Platform, and Engineering teams to influence platform evolution and improve scalability, reliability, and usability based on field learnings

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)
• 15+ years of experience in AI / Machine Learning, Data Engineering, or related domains
• 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
• Experience integrating platform-based solutions with external systems, data pipelines, and APIs
• 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
• Experience in automotive software, vehicle systems, or mobility-related domains (nice to have)

Korea Office Benefits & Perks Offered:

• Support 4 social insurance plans
• Family leave (Maternity, Paternity)
• Hybrid office work-arrangement
• Complimentary lunches, snacks and beverages during on-site working days
• Wellness benefit allowance
• Phone & Internet reimbursement
• Computer Accessory Allowance
• English Support class
• Annual health checkup
• Holiday Appreciation Gift

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

Role Summary:

We are seeking a highly experienced Solutions Architect to lead system-level architecture and technical direction by bridging complex customer requirements with robust, production-ready designs. As a pivotal member of the Customer Solutions Team, you will define scalable architectures, optimize system performance, and influence internal product roadmaps using real-world deployment insights. A strong background in vehicle networking—specifically across CAN, Automotive Ethernet, and related protocols—is essential, as you will be responsible for designing and optimizing in-vehicle communication systems. The ideal candidate will seamlessly blend deep architectural strategy with hands-on engineering expertise to deliver high-impact, tailored solutions that align with diverse deployment environments and business objectives.

Responsibilities:

• Lead end-to-end solution architecture for customer engagements, from requirement analysis to system design and deployment strategy
• Work directly with customers(OMEs/Tier1/Partners) to understand technical and business requirements, and define tailored, production-ready solutions.
• Drive technical proposals, solution positioning, and architecture recommendations aligned with customer needs and deployment environments
• Lead technical discussions, workshops, and architecture reviews with customers and partners
• Define and optimize system-level architecture across multiple ECUs, such as HPC, Gateway, TCU, and domain controllers
• Lead the design of scalable and high-performance in-vehicle communication architectures
• Drive system-level optimization across CPU, memory, and network throughput
• Architect and integrate vehicle networking solutions using CAN, Automotive Ethernet, and hybrid network topologies
• Design and optimize Ethernet switch configurations, including VLAN, QoS, traffic prioritization, and Time-Sensitive Networking (TSN)
• Implement and optimize networking protocols such as SOME/IP, DDS, UDS, DoIP, MQTT, TCP/IP, and HTTP(S)
• Influence internal product architecture and roadmap based on customer requirements and field experience
• Contribute to industry standardization efforts such as AUTOSAR, Open Alliance, and related automotive networking initiatives
• Support system integration, debugging, and performance tuning in real vehicle environments
• Troubleshoot complex system-level issues across software, network, and platform layers
• Develop and maintain technical documentation, including architecture, APIs, integration guidelines, and performance benchmarks

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields (MS preferred)
• 12+ years of experience in automotive software, embedded systems, or networking domains
• Proven experience in system architecture design, including defining scalable and production-ready solutions
• Strong hands-on experience with vehicle networking technologies and in-vehicle communication systems
• Deep experience with CAN / CAN-FD and Automotive Ethernet
• Strong experience with automotive protocols such as SOME/IP, DDS, UDS, and DoIP
• Solid understanding of Ethernet fundamentals and advanced features, including TSN, VLAN, and QoS
• Strong programming experience in C/C++ and familiarity with Python or scripting languages
• Experience working with Linux-based embedded systems
• Proven ability to debug complex system-level issues across software, network, and platform layers
• Experience working directly with OEM or Tier-1 customers in technical or solution-oriented roles
• Strong communication skills with the ability to translate complex technical concepts into customer-facing solutions

Desired Skills:

• Experience with Software Defined Vehicle (SDV) architectures
• Experience with Adaptive AUTOSAR, QNX, or Android Automotive
• Knowledge of Time-Sensitive Networking (TSN) standards
• Knowledge of network security technologies, including TLS, MACsec, and SecOC
• Experience contributing to AUTOSAR, Open Alliance, or similar industry standardization bodies
• Familiarity with CodeBeamer, Jama, or other ALM tools
• Proficiency with Git, Python, and shell scripting
• Experience with CI/CD pipelines and build systems such as Jenkins and CMake
• Basic understanding of automotive hardware and ECU architecture (e.g., SoC, MCU, network switches)
• Strong communication and presentation skills for customer-facing engagements

Sunnyvale HQ Benefits & Perks Offered:

• 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
• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowance
• Phone & Internet reimbursement
• Computer Accessory Allowance

About the Role

At Sonatus, we are redefining the future of Software-Defined Vehicles (SDV) through agility and innovation. To achieve this, we operate as Mission-Driven Squads, where each team takes full end-to-end ownership of a specific module to deliver production-ready software with speed and precision.

We are looking for a Customer Integration Engineer to join one of our squads (e.g., Secure Network, Data Hub) as a core member. In this role, you will go beyond traditional coding; you will act as a Full-Cycle Engineer who ensures the quality and reliability of the features you build.

This position is ideal for an experienced C/C++ developer who is passionate about delivering excellence. By leveraging AI tools like GitHub Copilot and Claude, you will drive the entire engineering lifecycle—from implementation to verification—safeguarding the integrity of our software for millions of vehicles on the road.

Duties and Responsibilities

1. Squad Mission Contribution

• Work under the guidance of the Squad Lead to execute the full engineering lifecycle—from Implementation to Verification.
• Switch roles flexibly based on the squad’s goals (e.g., focusing on feature development in one sprint, and shifting to verification tasks in the next) to ensure the mission is accomplished.

2. Cross-Functional Engineering (Hybrid Dev & QA)

• Development: Design and develop high-quality C/C++ embedded software based on customer requirements.
• Verification: Design Python-based test cases and build automation frameworks to verify both your own code and the squad’s deliverables.
• Documentation: Treat documentation as code. Create and maintain detailed technical documentation—including APIs, dependencies, and integration guides—to ensure the software is accessible, maintainable, and seamlessly integrated by customers.
• Review: Participate in Code Reviews not just for logic, but with a focus on Testability and Safety, ensuring the code is robust before it merges.

3. Quality Ownership

• Champion a culture of total ownership. You define "Done" not merely by implementation, but by delivering software that is Production-Ready and rigorously validated.
• Actively troubleshoot and resolve build/test failures in the CI/CD pipeline as if they were your own code errors.

4. AI-Augmented Workflow

• Leverage AI tools such as GitHub Copilot and Claude to maximize productivity.
• Use AI to lower the barrier for cross-functional tasks (e.g., generating test scenarios for complex logic, or debugging unfamiliar code), allowing you to focus on high-value engineering challenges.

5. Customer Support

• On-site Support: Support major test events with partners on-site (domestic/international), troubleshooting integration issues directly in vehicle or test bench environments to ensure successful deployment.
• Technical Communication: Serve as a primary technical contact for integration issues, translating complex engineering concepts into clear guidance for customer engineering teams.

Qualifications and Experience

[Foundation: Development Skills]

• Experience: 10+ years of experience in embedded software development or engineering.
• Core Language: Proficiency in C/C++ programming (strong understanding of pointers, memory management, and data structures).
• OS Environment: Solid experience in development and debugging within a Linux environment.

[Key Differentiator: QA Capability & Mindset]

• Scripting: Experience using Python for writing test scripts or automating engineering tasks.
• Testing Willingness: A flexible attitude with a strong belief that "Testing is Engineering." You are willing to balance your time between Dev and QA tasks (even up to 50:50) depending on the squad's needs.
• Critical Thinking: Ability to look beyond the "Happy Path" and critically ask, "Is this truly safe for the user?"

Preferred Knowledge and Experience

[Automotive Standards & Quality]

• Standards & Audit: Experience in automotive design reviews and audit processes based on standards such as ISO 26262 (Functional Safety), Automotive SPICE (ASPICE), or ASIL.
• Code Quality Analysis: Experience adhering to MISRA C/C++ coding standards and using static analysis tools such as Coverity, Polyspace, or similar products to manage code quality.

[Collaboration & Tools]

• Collaboration: Experience working in Cross-functional Squads or Agile/Scrum environments.
• Tools: Proficiency with Jira/Confluence and Git-based workflows (Branching, Pull Requests).
• Frameworks: Experience with Unit/Integration test frameworks (e.g., PyTest, GoogleTest).
• Network Protocols: Deep understanding of automotive communication protocols (Ethernet, CAN, SOME/IP).
• Adaptability: Eagerness to learn and adopt new technologies and AI tools to enhance workflow efficiency.

Benefits & Perks

Benefits Offered:

• Competitive compensation and equity program
• Support 4 social insurance plans
• Family leave (Maternity, Paternity)
• Hybrid office work-arrangement/flexibility

Perk Offerings:

• Complimentary lunch/dinner, snacks and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Phone & Internet reimbursement
• Computer Accessory Allowance
• Annual Appreciation Gift
• Annual Health Checkup
• Support English class

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!
• Innovative Award Program (annual)

Sonatus is a fast-paced and innovative company and is seeking team members who are passionate about making a difference. If you are ready to take your career to the next level, we highly encourage you to apply.

Sonatus is headquartered in Sunnyvale, California with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan and Japan. This is a hybrid position at our Pangyo location. You will report to Customer Integration Director. 

About the Role

At Sonatus, we believe that "Jira is the Single Source of Truth." If it's not in Jira, it doesn't exist.

We are looking for a disciplined and process-driven Engineering Program Manager (EPM) to operationalize this philosophy across our engineering teams. You will act as the "Chief Scrum Master" and "Jira Architect" for the Korea engineering organization, ensuring that every task, bug, and requirement is tracked with precision across multiple cross-functional teams.

Our engineering teams operate as mission-driven units. Your mission is to keep these teams running at peak efficiency — managing sprints, removing blockers, coordinating cross-team dependencies, and maintaining a tight feedback loop between engineering execution and delivery commitments. If you are passionate about Agile methodologies, data integrity, and optimizing workflows in a fast-moving environment, you are the backbone we need.

Duties and Responsibilities

1. Jira Governance as "Single Source of Truth"

• Process Architecture: Design, implement, and enforce a uniform Jira workflow across all engineering teams. Ensure that ticket states, fields, and transitions are consistent to prevent data fragmentation.
• Data Integrity: Monitor Jira daily to ensure no ticket is stale. Actively follow up with engineers to update status, work logs, and comments, ensuring the system reflects the actual state of development.
• Dashboarding: Build and maintain advanced Jira Dashboards and Confluence pages to provide real-time visibility into sprint velocity, bug burn-down, and release readiness for leadership.

2. Agile Execution & Scrum Facilitation

• Scrum Master: Facilitate Daily Scrums, Sprint Planning, and Retrospectives across multiple teams to maintain a steady development rhythm.
• Cross-Team Coordination: Identify and manage dependencies between teams. Intervene immediately when blockers or inter-team conflicts emerge that could delay delivery.
• Gap Analysis: Continuously monitor progress during daily stand-ups. Identify bottlenecks between the plan and reality and drive resolution.
• Process Culture: Train engineering staff on Jira best practices and internal processes. Create a culture where updating Jira is part of the engineering work, not an administrative burden.

3. Delivery Alignment & Stakeholder Sync

• TPM Collaboration: Maintain close, continuous communication with the Technical Program Manager (TPM). Provide sprint progress, blocker updates, and engineering capacity. Receive customer requirements, priority changes, and delivery timeline constraints.
• Prioritization: Translate high-level customer milestones into actionable engineering tickets. Consult with Tech Leads to assess technical feasibility and set backlog priority.
• Release Tracking: Track the status of Engineering Change Requests (ECRs) and ensure sprint deliverables are handed off to the release pipeline on schedule.

Qualifications and Experience

[Essential Background]

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience: 5+ years of experience in Technical Program Management, Project Management, or as a dedicated Scrum Master in a software organization.
• Jira Mastery: Expert-level proficiency in Atlassian Jira & Confluence. Ability to create complex JQL queries, automation rules, custom workflows, and detailed dashboards is mandatory.

[Core Competencies]

• Process Driven: A strong mindset that "Process is Product." You are organized, detail-oriented, and persistent in enforcing standards.
• Agile Expertise: Deep understanding of Agile/Scrum methodologies. You know how to run a stand-up efficiently and how to calculate velocity accurately.
• Multi-Team Coordination: Proven experience managing dependencies and communication across multiple concurrent teams.
• Communication: Ability to communicate firmly yet collaboratively. You need to be comfortable holding engineers and leads accountable for their updates.

Preferred Knowledge and Experience

• Certifications: Atlassian Certified Professional (ACP), PMP, or Certified Scrum Master (CSM) is highly preferred.
• Industry Knowledge: Experience in the Automotive industry (ASPICE, ISO 26262) or Embedded Software development environments. Understanding of how "V-Model" traceability maps to Jira issues is a plus.
• Technical Understanding: Background in software development or QA is helpful to understand the context of tickets (e.g., C++, Networking, Linux).
• AI-Assisted Workflows: Familiarity with AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot) and how they integrate into engineering workflows is a plus.
• Tools: Experience with additional project management tools (Microsoft Project, Excel) or CI/CD integration with Jira (Jenkins, GitHub).

Office Benefits & Perks Offered:

• Support 4 social insurance plans
• Family leave (Maternity, Paternity)
• Hybrid office work-arrangement
• Complimentary lunches, snacks and beverages during on-site working days
• Wellness benefit allowance
• Phone & Internet reimbursement
• Computer Accessory Allowance
• English Support class
• Annual health checkup
• Holiday Appreciation Gift

About the Role

At Sonatus, we are redefining the future of Software-Defined Vehicles (SDV) through agility and innovation. To achieve this, we operate as Mission-Driven Squads, where each team takes full end-to-end ownership of a specific module to deliver production-ready software with speed and precision.

We are looking for a Customer Integration Engineer to join one of our squads (e.g., Secure Network, Data Hub) as a core member. In this role, you will go beyond traditional coding; you will act as a Full-Cycle Engineer who ensures the quality and reliability of the features you build.

This position is ideal for an experienced C/C++ developer who is passionate about delivering excellence. By leveraging AI tools like GitHub Copilot and Claude, you will drive the entire engineering lifecycle—from implementation to verification—safeguarding the integrity of our software for millions of vehicles on the road.

Duties and Responsibilities

1. Squad Mission Contribution

• Work under the guidance of the Squad Lead to execute the full engineering lifecycle—from Implementation to Verification.
• Switch roles flexibly based on the squad’s goals (e.g., focusing on feature development in one sprint, and shifting to verification tasks in the next) to ensure the mission is accomplished.

2. Cross-Functional Engineering (Hybrid Dev & QA)

• Development: Design and develop high-quality C/C++ embedded software based on customer requirements.
• Verification: Design Python-based test cases and build automation frameworks to verify both your own code and the squad’s deliverables.
• Documentation: Treat documentation as code. Create and maintain detailed technical documentation—including APIs, dependencies, and integration guides—to ensure the software is accessible, maintainable, and seamlessly integrated by customers.
• Review: Participate in Code Reviews not just for logic, but with a focus on Testability and Safety, ensuring the code is robust before it merges.

3. Quality Ownership

• Champion a culture of total ownership. You define "Done" not merely by implementation, but by delivering software that is Production-Ready and rigorously validated.
• Actively troubleshoot and resolve build/test failures in the CI/CD pipeline as if they were your own code errors.

4. AI-Augmented Workflow

• Leverage AI tools such as GitHub Copilot and Claude to maximize productivity.
• Use AI to lower the barrier for cross-functional tasks (e.g., generating test scenarios for complex logic, or debugging unfamiliar code), allowing you to focus on high-value engineering challenges.

5. Customer Support

• On-site Support: Support major test events with partners on-site (domestic/international), troubleshooting integration issues directly in vehicle or test bench environments to ensure successful deployment.
• Technical Communication: Serve as a primary technical contact for integration issues, translating complex engineering concepts into clear guidance for customer engineering teams.

Qualifications and Experience

[Foundation: Development Skills]

• Experience: 6+ years of experience in embedded software development or engineering.
• Core Language: Proficiency in C/C++ programming (strong understanding of pointers, memory management, and data structures).
• OS Environment: Solid experience in development and debugging within a Linux environment.

[Key Differentiator: QA Capability & Mindset]

• Scripting: Experience using Python for writing test scripts or automating engineering tasks.
• Testing Willingness: A flexible attitude with a strong belief that "Testing is Engineering." You are willing to balance your time between Dev and QA tasks (even up to 50:50) depending on the squad's needs.
• Critical Thinking: Ability to look beyond the "Happy Path" and critically ask, "Is this truly safe for the user?"

Preferred Knowledge and Experience

[Automotive Standards & Quality]

• Standards & Audit: Experience in automotive design reviews and audit processes based on standards such as ISO 26262 (Functional Safety), Automotive SPICE (ASPICE), or ASIL.
• Code Quality Analysis: Experience adhering to MISRA C/C++ coding standards and using static analysis tools such as Coverity, Polyspace, or similar products to manage code quality.

[Collaboration & Tools]

• Collaboration: Experience working in Cross-functional Squads or Agile/Scrum environments.
• Tools: Proficiency with Jira/Confluence and Git-based workflows (Branching, Pull Requests).
• Frameworks: Experience with Unit/Integration test frameworks (e.g., PyTest, GoogleTest).
• Network Protocols: Deep understanding of automotive communication protocols (Ethernet, CAN, SOME/IP).
• Adaptability: Eagerness to learn and adopt new technologies and AI tools to enhance workflow efficiency.

Benefits & Perks

Benefits Offered:

• Competitive compensation and equity program
• Support 4 social insurance plans
• Family leave (Maternity, Paternity)
• Hybrid office work-arrangement/flexibility

Perk Offerings:

• Complimentary lunch/dinner, snacks and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Phone & Internet reimbursement
• Computer Accessory Allowance
• Annual Appreciation Gift
• Annual Health Checkup
• Support English class

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!
• Innovative Award Program (annual)

Sonatus is a fast-paced and innovative company and is seeking team members who are passionate about making a difference. If you are ready to take your career to the next level, we highly encourage you to apply.