Role Summary:

Sonatus builds the software platform for AI-enabled, software-defined vehicles. Our engineering teams produce firmware and system images that run on physical automotive hardware — ECUs, and evaluation boards — not cloud microservices. We are looking for a Sr. Staff DevOps Engineer to own and modernize the global lab infrastructure that makes this work possible: bare-metal build servers, enterprise storage, lab networking, and the automation layer that ties it all together across three sites (Sunnyvale, Seoul, and Dublin).

This is a hands-on technical leadership role. You will define the infrastructure-as-code strategy for an environment that currently runs on manual processes, build the observability and automation that replaces reactive firefighting, and mentor an existing team into modern DevOps engineering practices. You will be the technical authority for how our physical infrastructure is provisioned, configured, monitored, and scaled.

Responsibilities:

Build infrastructure reliability — Own the availability, performance, and capacity planning for bare-metal Jenkins controllers and build agents across three global lab sites. These are rack servers, managed switches, and NFS storage arrays — real hardware that builds real firmware.

Infrastructure as Code — Lead the migration from manual configuration to codified infrastructure. Terraform for provisioning, Ansible for configuration management. The current baseline is zero IaC — you will design the target state and the migration path to get there.

Hybrid networking — Own the lab network layer: VLANs, internal DNS zone administration, VPN and Transit Gateway connectivity between sites, and lab-to-cloud routing. You will be the person who understands how packets move between a build agent in Sunnyvale and a test board in Seoul.

Storage architecture — Design and operate the NFS storage layer (Pure Storage FlashArray) for build workspaces, artifact caching, and test output persistence. Define the policy layer: volume provisioning, snapshot strategy, capacity alerting, and lifecycle management.

CI/CD platform infrastructure — Own the platform that pipelines run on: agent provisioning, credential management, controller health, and capacity planning. You share ownership of pipeline architecture with the DevOps Manager and existing staff, but the infrastructure underneath is yours.

Observability — Instrument the build and lab infrastructure with OpenTelemetry. Define SLOs, build dashboards, and create alerting that replaces the current model of "someone notices it's broken."

Hardware test infrastructure — Contribute to the strategy for board reservation, ECU test automation, and the integration points between CI/CD pipelines and physical test hardware.

Requirements:

• 10+ years in infrastructure, DevOps, or SRE roles, with meaningful time spent on physical and bare-metal infrastructure — not exclusively cloud-native environments
• Infrastructure as Code — Deep hands-on experience with Terraform and Ansible (or equivalent provisioning and configuration management tools). You've migrated environments from manual to codified, not just maintained existing IaC
• Linux systems administration — You can debug a production server over SSH: networking, storage, process management, systemd, log analysis. This is a daily skill, not a resume line
• CI/CD platform administration — Experience operating Jenkins at scale (multiple controllers, distributed agents, shared libraries) or equivalent enterprise CI/CD platform. You understand the platform layer, not just pipeline syntax
• Enterprise networking — Working knowledge of VLANs, DNS administration (BIND, dnsmasq, or similar), VPN and site-to-site connectivity, and how lab networks integrate with cloud environments
• Mentorship — Demonstrated ability to drive adoption of engineering practices across a team. You've raised the floor, not just the ceiling
• Multi-site operations — Experience working across geographically distributed infrastructure with different local constraints

Nice to Have:

• NFS or SAN storage administration (Pure Storage, NetApp, or similar enterprise arrays)
• Embedded systems build toolchains (Yocto, Bazel, cross-compilation environments)
• Observability stack experience (OpenTelemetry, Prometheus, Grafana)
• Automotive, robotics, or hardware-in-the-loop test infrastructure

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 seeking a highly motivated Senior IT Systems Engineer to architect and scale our global infrastructure. As a key technical lead, you will move beyond traditional support to build a programmatic, automation-first IT environment, with a heavy focus on API-driven integrations and seamless user lifecycle management. The ideal candidate is a hands-on engineer who thrives on connecting disparate systems like our HRIS, IdP, and ERP platforms to create a friction-free, self-service experience for a global workforce. We are looking for a meticulous, "systems-thinking" professional who can balance complex project work with the day-to-day management of our global lab and network operations.

You will report to the Manager of IT Systems Administrations.

Duties and Responsibilities

• Architect and maintain end-to-end user lifecycle workflows by integrating our HRIS, IdP, and core applications (D365, BambooHR, Expensify, Google Workspace, JumpCloud) via REST APIs and automation to drive a seamless, self-service IT model.
• Collaborate closely with the Global IT Manager to prioritize high-impact automation projects, ensuring that architectural improvements and systemic fixes take precedence over manual maintenance.
• Own the global lab and asset management lifecycle, ensuring hardware inventory is tracked, maintained, and optimized across all regions.
• Build and deploy internal tooling and scripts to automate daily IT operations, reducing manual overhead and improving response times for global teams.
• Administer the global MDM and IdP stack (JumpCloud) to secure the device fleet and manage granular user access controls.
• Participate in global change and configuration management processes to ensure consistency across production and lab environments.
• Maintain comprehensive documentation for lab processes, asset management records, system configurations, and troubleshooting guidelines.
• Proactively analyze system and network metrics to identify bottlenecks, optimize resources, and prevent downtime.

Qualifications and Experience

• Bachelor’s degree in Computer Information Systems or a related IT technical field is required.
• 7-10 years of progressive experience in IT systems or operations engineering.
• Hands-on experience with API integrations (Python) and managing global identity stacks
• Proven track record of automating user provisioning/deprovisioning between HRIS and IdP platforms.
• Demonstrated experience with configuration management systems and scripting to build self-service IT tools.
• Hands-on experience with Identity Provider (IdP) solutions including SAML, SCIM, LDAP, and RADIUS
• Ability to participate in multiple projects simultaneously and prioritize effectively, handle assigned tasks with minimal supervision
• Team player, resourceful, able to work under pressure
• Excellent written and verbal communication; and presentation skills

Bonus Points

• IT certifications (Cisco networking certifications such as CCNA or CCNP, Cloud certifications from AWS, Azure or GCP, Security+, ITIL v3.)
• IT governance such as ISO27001 or other data privacy regulations such as GDPR 

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

The Opportunity

The Updater team is responsible for the successful deployment of firmware, vehicle applications, and vehicle configurations to the vehicle. The Updater is a key component in delivering a successful software-defined vehicle solution — it's how new features, fixes, and configurations actually reach the car after it leaves the factory. Join us to help build the system that keeps vehicles improving over their entire lifetime. 

In this role, you will participate in the design and implementation of the updater software running on the vehicle. You will contribute to defining the updater interfaces between the cloud and the vehicle, as well as the update agents that handle different types of target assets. You will report directly to the Engineering Manager of Vehicle Development

Responsibilities

• Design, develop, and maintain embedded C++ software for vehicle-side asset update systems, including update orchestration, campaign management, and software distribution
• Implement and integrate communication interfaces for coordination between vehicle services
• Collaborate with cloud platform teams to integrate end-to-end for campaign delivery, status reporting, and asset inventory management
• Write unit tests and integration tests to ensure update reliability and safety across diverse vehicle configurations
• Participate in code reviews and contribute to a culture of software quality and continuous improvement
• Debug and resolve complex cross-layer issues spanning OS, middleware, and application software
• Create and maintain technical documentation for designs, interfaces, and processes

Required Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 5+ years of professional experience in embedded software development or 3+ years of experience with MS or higher degree.
• Strong proficiency in modern C++
• Experience with embedded Linux or RTOS-based systems
• Understanding of concurrency, memory management, and performance optimization in resource-constrained environments
• Familiarity with inter-process or inter-service communication (RPC frameworks, message passing, pub/sub patterns)
• Strong debugging and problem-solving skills at the system level

Preferred Qualifications

• Experience with OTA update systems, firmware update mechanisms, or software distribution for embedded devices
• Familiarity with automotive communication protocols (SOME/IP, CAN, UDS, MQTT)
• Knowledge of AUTOSAR (Classic or Adaptive)
• Experience with build systems such as Bazel or CMake

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 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

The Opportunity

We are seeking a proactive, highly organized, and execution-oriented Office Manager to lead all aspects of operations at our HQ office. In this role you will go beyond traditional administrative tasks to design and maintain an environment that fosters collaboration, innovation, and employee well-being. The ideal candidate is a self-motivated professional who takes pride in finding the best solution and creating a welcoming office where our engineering and business teams can do their best work. You will report to the People Operations Manager.

Roles & Responsibilities

• Serve as the primary owner of the physical office space, managing landlord relations, janitorial services, and the office key system
• Proactively arrange office repairs and services to maintain a high-quality environment
• Execute physical logistics for new hires and departing employees, including accessory ordering and workstation preparation/cleanup
• Oversee lunch delivery services, on-site event catering, and replenishing food supplies in the kitchen and conference rooms
• Manage the sourcing and inventory of office supplies, stationery, furniture, and specialized lab equipment
• Act as the designated lead and emergency contact for office safety protocols and situational response
• Order and distribute company swag, including for new hires, anniversaries, and employee recognition 
• Organize company-wide off-site events that strengthen corporate culture and drive employee engagement
• Coordinate travel arrangements for employees and candidates
• Carry out overall People Team operations, including contractor agreements, employment verification inquiries, and other duties as assigned

Requirements

• Minimum of 3 years of experience in office management, facilities, or a high-touch administrative role
• Highly organized with the ability to multitask across vendor management, facility maintenance, and internal requests
• Self-motivated to challenge the status quo, think critically about problems, and find the best possible solutions
• Excellent written and verbal communication skills; ability to interact professionally with outside vendors and all levels of staff

Desired Skills & Experience

• Prior experience managing office-related software subscriptions or using procurement systems
• Experience negotiating with and managing relationships with external service providers
• Background in coordinating office-wide events or catering for large groups 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

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 the 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 optimisation, 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 prioritises execution, code quality, and system reliability for multi-agent systems, AI technologies and platforms.

This opportunity is for candidates who are already living in Poland. We do accommodate remote work within Poland.

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.

Role Overview:

As the DevOps Manager, you will lead the operational strategy for our hybrid infrastructure and developer ecosystem. Your primary focus is the governance and administration of our core platforms—including GitHub, Jira, and Development Tools—alongside high-level oversight of our Bare Metal fleet. You will be the primary stakeholder for our AWS cloud budget, ensuring financial efficiency through active management and optimization. This role reports to the VP of Developer Experience.

Responsibilities:

• Global Team Leadership: Manage and mentor a distributed team of six DevOps engineers in Sunnyvale, California, and Dublin, Ireland. Foster a collaborative culture that overcomes time-zone challenges and ensures 24/7 infrastructure reliability.
• AWS Financial Management: You will actively use AWS Cost Explorer and other billing tools to identify savings, manage Reserved Instances and Savings Plans, and provide regular financial reporting to leadership.
• Platform Administration: Be responsible for the company’s GitHub organization and Jira instance. You will manage user lifecycle, access permissions, and repository/project governance.
• Tooling Management: Lead the rollout and management of productivity tools (e.g., GitHub, Jenkins, Artifactory). You will manage seat licensing, monitor usage trends, and ensure these tools align with company security and budget policies.
• Infrastructure Coordination: Oversee the health and lifecycle of Bare Metal servers and AWS resources. You will coordinate with the engineering team on hardware refreshes and resource scaling.
• Automation & CI/CD Oversight: Ensure the team maintains consistent standards using Ansible, Terraform, Jenkins, and GitHub Actions. You will provide technical direction and process oversight to ensure pipelines remain efficient and reliable.
• Operational Excellence: Demonstrated experience overseeing the architecture and administration of production-grade Kubernetes clusters, with a focus on optimizing container orchestration, auto-scaling, and high availability.
• Security Governance: Monitor the integration of Coverity (SAST) and Black Duck (SCA) within our deployment workflows, ensuring security compliance is met without disrupting developer velocity.

Requirements:

• Experience: 8-12 years of experience in DevOps, with at least 3-5 years of that in people management.
• Cloud Finance: Proven experience managing AWS budgets, including cost optimization, right-sizing, and utilization of Savings Plans/Reserved Instances.
• Administration: Solid experience administering GitHub Enterprise and Jira at an organizational or departmental level.
• Infrastructure Awareness: Working knowledge of Bare Metal server management (provisioning, hardware specs) and core AWS infrastructure services.
• Tooling Oversight: High-level understanding of Ansible and CI/CD platforms (Jenkins/GitHub Actions) to guide team strategy and troubleshoot workflow blockers.
• Security Tooling: Experience overseeing the implementation of Black Duck and Coverity in a professional software environment.
• Analytical Mindset: Comfortable working with data to justify infrastructure spend and tool ROI.
• Vendor & License Management: Capable of managing relationships and contract seats for AI and SaaS providers.

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

The Role

Sonatus builds the software platform for AI-enabled, software-defined vehicles. Our Korea engineering site is responsible for critical product delivery to major automotive OEMs — it generates 30% of company revenue and operates dedicated build infrastructure, lab hardware, and test environments that must run reliably on-premises.

We are seeking a Staff DevOps Engineer based in Seoul to own and modernize the Korea site's on-premises infrastructure: bare-metal Jenkins build servers, enterprise storage, lab networking, and the automation that ties CI/CD pipelines to physical test hardware. This is a hands-on engineering role where you will be the primary infrastructure owner for the Korea site, working closely with the global Engineering Operations team (Sunnyvale, Dublin) to bring consistency and modern practices to a critical production environment.

Today, the Korea infrastructure is functional but manually configured — Jenkins controllers and agents set up by hand, storage replication that is undocumented, and release automation built on large monolithic scripts. You will modernize this into a codified, observable, maintainable platform while preserving the team's existing workflows and institutional knowledge.

What You'll Own

On-premises build infrastructure — Own the Korea Jenkins controller and physical build agents. Manage capacity planning, server health, and reliability for the bare-metal servers that produce ECU firmware builds. Coordinate AWS overflow capacity when on-prem resources are constrained.

Lab infrastructure and hardware integration — Own the integration between CI/CD pipelines and physical test hardware (ECUs, evaluation boards). Support board provisioning, health monitoring, and the automation that connects builds to hardware test execution. Work with QA engineers to ensure test environments are reliable and reproducible.

Storage and replication — Bring up and operate Pure Storage (FlashArray) for build workspaces, artifact caching, and test output. Own the NFS layer and multi-site replication between Korea, Sunnyvale, and Dublin. Document and stabilize storage infrastructure that currently has single-person dependencies.

Infrastructure as Code migration — Lead the migration from manual server configuration to codified infrastructure. Terraform for provisioning, Ansible for configuration management. The Korea site currently has zero IaC — you will design the target state and execute the migration without disrupting active builds.

CI/CD pipeline support — Maintain and improve the Korea release automation pipelines (Jenkins shared libraries, Groovy-based release workflows). Partner with the global CI/CD team on consolidation and standardization efforts while ensuring Korea-specific build and release requirements are met.

Monitoring and observability — Deploy monitoring (Nagios, Prometheus/Grafana, or equivalent) for all Korea on-prem infrastructure: build servers, storage arrays, network equipment, and lab hardware. Replace the current model of "someone notices it's broken" with proactive alerting and dashboards.

Datacenter operations — Own the physical environment for the Korea server room: coordinate with facilities on power and cooling constraints, manage rack layouts, and plan capacity for future hardware deployments.

What You Bring

Requirements

• 15+ years in infrastructure, DevOps, or SRE roles, with significant time managing on-premises and bare-metal infrastructure — not exclusively cloud-native environments
• Linux systems administration — You debug production servers over SSH daily: networking, storage, process management, systemd, log analysis
• On-premises infrastructure — Hands-on experience with physical servers, rack management, storage arrays (NFS/SAN), and datacenter operations including power, cooling, and capacity planning
• CI/CD platform administration — Experience operating Jenkins at scale (distributed agents, shared libraries, credential management) or equivalent enterprise CI/CD platform
• Infrastructure as Code — Practical experience with Terraform and Ansible (or equivalent). You've migrated environments from manual to codified, not just maintained existing IaC
• Networking — Working knowledge of VLANs, DNS, VPN/site-to-site connectivity, and how lab networks integrate with cloud environments
• Scripting and automation — Proficiency in Python and Bash. Comfortable working in large Groovy codebases
• Storage administration — Experience with enterprise storage (Pure Storage, NetApp, or similar), NFS configuration, and backup/replication strategies

Nice to Have

• Embedded systems build toolchains (Bazel, Yocto, CMake cross-compilation)
• Virtualization technologies (VMware vSphere, KVM)
• Hardware-in-the-loop or automotive test infrastructure experience
• Security scanning integration (Coverity, BlackDuck, or similar SAST/SCA tools)
• Experience with Kubernetes in hybrid on-prem/cloud environments
• Korean language proficiency (business conducted in both Korean and English)

Your First 90 Days

Days 1–30: Learn and Stabilize

• Gain operational access to all Korea Jenkins infrastructure: controller, build agents, credentials, and storage
• Map every piece of on-prem hardware: servers, storage, network equipment, and test boards
• Complete a credential and access audit — identify and eliminate personal tokens and single-person dependencies
• Meet with the Korea engineering and QA teams to understand their build, test, and release workflows firsthand
• Document the current NAS replication setup and storage architecture

Days 31–60: Codify and Instrument

• Stand up the first Terraform-managed infrastructure component for the Korea site
• Begin Ansible-based configuration management for build agents, replacing manual setup
• Deploy monitoring for all Korea on-prem infrastructure (servers, storage, lab hardware)
• Support Pure Storage bringup (pending HVAC resolution) and NFS volume configuration
• Produce a written infrastructure assessment and gap analysis for the Korea site

Days 61–90: Modernize and Scale

• Establish a repeatable, codified agent provisioning process aligned with the global standard
• Define storage policies for build workspaces and artifacts on Pure Storage
• Begin modernizing release automation scripts toward maintainable, testable pipeline code
• Present a 6-month Korea infrastructure roadmap to engineering leadership
  
  

About Sonatus

Sonatus is building the operating system for the software-defined vehicle. Our platform enables automakers to deploy, update, and manage vehicle software at scale. Our technology is already in production across more than 6 million vehicles on the road today. The Korea site is a critical hub for OEM delivery, and the infrastructure you own will directly enable the teams building and testing firmware for production automotive hardware.

Logistics

• Location: Seoul, South Korea — on-site required. This role requires physical access to lab and datacenter hardware.
• Travel: Occasional travel to Sunnyvale and Dublin lab sites (estimated 1–2 trips per year).

The Role

Sonatus builds the software platform for AI-enabled, software-defined vehicles. Our Korea engineering site is responsible for critical product delivery to major automotive OEMs — it generates 30% of company revenue and operates dedicated build infrastructure, lab hardware, and test environments that must run reliably on-premises.

We are seeking a Staff DevOps Engineer based in Seoul to own and modernize the Korea site's on-premises infrastructure: bare-metal Jenkins build servers, enterprise storage, lab networking, and the automation that ties CI/CD pipelines to physical test hardware. This is a hands-on engineering role where you will be the primary infrastructure owner for the Korea site, working closely with the global Engineering Operations team (Sunnyvale, Dublin) to bring consistency and modern practices to a critical production environment.

Today, the Korea infrastructure is functional but manually configured — Jenkins controllers and agents set up by hand, storage replication that is undocumented, and release automation built on large monolithic scripts. You will modernize this into a codified, observable, maintainable platform while preserving the team's existing workflows and institutional knowledge.

What You'll Own

On-premises build infrastructure — Own the Korea Jenkins controller and physical build agents. Manage capacity planning, server health, and reliability for the bare-metal servers that produce ECU firmware builds. Coordinate AWS overflow capacity when on-prem resources are constrained.

Lab infrastructure and hardware integration — Own the integration between CI/CD pipelines and physical test hardware (ECUs, evaluation boards). Support board provisioning, health monitoring, and the automation that connects builds to hardware test execution. Work with QA engineers to ensure test environments are reliable and reproducible.

Storage and replication — Bring up and operate Pure Storage (FlashArray) for build workspaces, artifact caching, and test output. Own the NFS layer and multi-site replication between Korea, Sunnyvale, and Dublin. Document and stabilize storage infrastructure that currently has single-person dependencies.

Infrastructure as Code migration — Lead the migration from manual server configuration to codified infrastructure. Terraform for provisioning, Ansible for configuration management. The Korea site currently has zero IaC — you will design the target state and execute the migration without disrupting active builds.

CI/CD pipeline support — Maintain and improve the Korea release automation pipelines (Jenkins shared libraries, Groovy-based release workflows). Partner with the global CI/CD team on consolidation and standardization efforts while ensuring Korea-specific build and release requirements are met.

Monitoring and observability — Deploy monitoring (Nagios, Prometheus/Grafana, or equivalent) for all Korea on-prem infrastructure: build servers, storage arrays, network equipment, and lab hardware. Replace the current model of "someone notices it's broken" with proactive alerting and dashboards.

Datacenter operations — Own the physical environment for the Korea server room: coordinate with facilities on power and cooling constraints, manage rack layouts, and plan capacity for future hardware deployments.

What You Bring

Requirements

• 8+ years in infrastructure, DevOps, or SRE roles, with significant time managing on-premises and bare-metal infrastructure — not exclusively cloud-native environments
• Linux systems administration — You debug production servers over SSH daily: networking, storage, process management, systemd, log analysis
• On-premises infrastructure — Hands-on experience with physical servers, rack management, storage arrays (NFS/SAN), and datacenter operations including power, cooling, and capacity planning
• CI/CD platform administration — Experience operating Jenkins at scale (distributed agents, shared libraries, credential management) or equivalent enterprise CI/CD platform
• Infrastructure as Code — Practical experience with Terraform and Ansible (or equivalent). You've migrated environments from manual to codified, not just maintained existing IaC
• Networking — Working knowledge of VLANs, DNS, VPN/site-to-site connectivity, and how lab networks integrate with cloud environments
• Scripting and automation — Proficiency in Python and Bash. Comfortable working in large Groovy codebases
• Storage administration — Experience with enterprise storage (Pure Storage, NetApp, or similar), NFS configuration, and backup/replication strategies

Nice to Have

• Embedded systems build toolchains (Bazel, Yocto, CMake cross-compilation)
• Virtualization technologies (VMware vSphere, KVM)
• Hardware-in-the-loop or automotive test infrastructure experience
• Security scanning integration (Coverity, BlackDuck, or similar SAST/SCA tools)
• Experience with Kubernetes in hybrid on-prem/cloud environments
• Korean language proficiency (business conducted in both Korean and English)

Your First 90 Days

Days 1–30: Learn and Stabilize

• Gain operational access to all Korea Jenkins infrastructure: controller, build agents, credentials, and storage
• Map every piece of on-prem hardware: servers, storage, network equipment, and test boards
• Complete a credential and access audit — identify and eliminate personal tokens and single-person dependencies
• Meet with the Korea engineering and QA teams to understand their build, test, and release workflows firsthand
• Document the current NAS replication setup and storage architecture

Days 31–60: Codify and Instrument

• Stand up the first Terraform-managed infrastructure component for the Korea site
• Begin Ansible-based configuration management for build agents, replacing manual setup
• Deploy monitoring for all Korea on-prem infrastructure (servers, storage, lab hardware)
• Support Pure Storage bringup (pending HVAC resolution) and NFS volume configuration
• Produce a written infrastructure assessment and gap analysis for the Korea site

Days 61–90: Modernize and Scale

• Establish a repeatable, codified agent provisioning process aligned with the global standard
• Define storage policies for build workspaces and artifacts on Pure Storage
• Begin modernizing release automation scripts toward maintainable, testable pipeline code
• Present a 6-month Korea infrastructure roadmap to engineering leadership
  
  

About Sonatus

Sonatus is building the operating system for the software-defined vehicle. Our platform enables automakers to deploy, update, and manage vehicle software at scale. Our technology is already in production across more than 6 million vehicles on the road today. The Korea site is a critical hub for OEM delivery, and the infrastructure you own will directly enable the teams building and testing firmware for production automotive hardware.

Logistics

• Location: Seoul, South Korea — on-site required. This role requires physical access to lab and datacenter hardware.
• Travel: Occasional travel to Sunnyvale and Dublin lab sites (estimated 1–2 trips per year).

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

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

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.

Sonatus is looking for a versatile Graphic Designer to join our Marketing team and translate complex brand stories into high-impact visual assets. From global events to digital campaigns, you will be the creative engine supporting our PR, product marketing, and growth initiatives.

This is a part-time position (up to 30 hours per week) where your performance and initiative directly influence your path to a potential full-time role dependent on company needs. If you are a detail-obsessed creator who thrives in a fast-paced environment and takes pride in delivering polished, business-driving content, we encourage you to apply. This is a hybrid position out of our Sunnyvale office, and you will be reporting to the Senior Director of Global Events and Brand.

Roles & Responsibilities

• Design and format PowerPoint and Google Slides presentations, ensuring brand consistency and visual clarity
• Maintain and update presentation templates, marketing collateral, and brand assets
• Create digital marketing graphics for web, email campaigns, social media, and digital advertising
• Design infographics and visual assets to communicate complex information clearly
• Layout and format long-form marketing materials including whitepapers, reports, case studies, and eBooks
• Develop event marketing assets such as booth graphics, signage, promotional materials, and social graphics
• Produce website graphics, video thumbnails, and product promotion mockups
• Collaborate with product marketing, events, and PR teams to support ongoing marketing initiatives
• Manage multiple design requests while delivering high-quality assets on tight timelines

Requirements

• Minimum 3 years of professional graphic design experience, preferably supporting marketing teams
• Strong portfolio demonstrating work across digital marketing assets, presentations, and marketing collateral
• Advanced proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and Canva
• Experience designing long-form documents such as whitepapers, reports, and case studies
• Strong skills in PowerPoint or Google Slides presentation design
• Ability to manage multiple design requests simultaneously in a fast-paced environment
• Excellent attention to detail, layout, and brand consistency
• Ability to work out of our Sunnyvale office 3 days a week

The Opportunity:

We are seeking an experienced Staff Cloud Backend Engineer to join our cloud engineering team. As a Staff Engineer, you will be a key technical leader responsible for designing, building, and optimizing backend services that power our cloud-based applications for automotive cloud platforms. This role requires deep expertise in cloud-native architectures, scalable backend systems, and modern development practices. You will collaborate with cross-functional teams to deliver innovative and reliable solutions that drive our business objectives.

Role and Responsibilities:

• Lead the design, development, and deployment of scalable backend services and APIs for cloud-based applications.
• Architect and implement microservices and serverless solutions using programming languages like Go.
• Ensure backend services are highly performant, scalable, and resilient, with a focus on meeting SLAs and minimizing downtime.
• Identify and resolve performance bottlenecks in backend services, optimizing for speed, reliability, and cost-efficiency.
• Implement strategies for database optimization, including schema design, indexing, and query tuning for SQL and NoSQL databases.
• Scale backend systems to handle increasing loads, ensuring consistent performance under heavy traffic and data processing demands.
• Lead the implementation of security best practices, including encryption, authentication, and secure API development.
• Lead code reviews, design sessions, and architectural discussions, fostering a culture of continuous improvement and technical excellence.
• Stay updated on the latest advancements in cloud computing, backend development, and related technologies, and apply them to drive innovation.
• Work closely with front-end developers, product managers, and other stakeholders to translate business requirements into scalable backend solutions.
• Communicate complex technical concepts to non-technical stakeholders, ensuring alignment on project goals and timelines.
• Collaborate across teams to ensure seamless integration of backend services with front-end applications and other systems.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 9+ years of experience in backend development.
• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including cloud-native services.
• Proficiency in backend programming languages (e.g., Go, Java, Scala, Rust) and microservices architecture.
• Strong understanding of cloud infrastructure, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
• Expertise in designing and implementing RESTful and GraphQL APIs, as well as serverless architectures.
• Deep knowledge of database systems, including both SQL and NoSQL databases, with experience in database optimization.
• Experience working with distributed systems like Kafka, RabbitMQ, etc
• Strong leadership abilities, with a track record of mentoring and guiding engineering teams.
• Excellent problem-solving skills, with a keen attention to detail and a focus on delivering high-quality solutions.
• Effective communication skills, capable of articulating technical concepts to both technical and non-technical audiences

The Opportunity:

Sonatus is seeking a highly motivated Staff AI Engineer to define and develop next-generation agentic AI applications for software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real-world customer problems.

Responsibilities:

• Lead the architecture and development of end-to-end software solutions leveraging agentic AI (e.g., LLMs, agent frameworks, RAG, context engineering, and evaluation).
• Design and implement robust data orchestration and processing pipelines for continuous agent operations and performance improvement.
• Translate complex customer problems and business requirements into effective, deployable AI solutions.

Requirements:

• Proven experience in designing and deploying end-to-end agentic AI systems in a production environment.
• In-depth knowledge of current agentic AI technologies and a strong software development background.
• Expertise in building high-performance AI applications that integrate a multitude of data sources.
• Excellent problem-solving, system design skills, and the ability to drive technical alignment across teams.

Preferred:

• MS or PhD in a science or engineering field.
• Experience in building and maintaining scalable, big data applications in a cloud environment.

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

The Opportunity:

Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real-world customer problems.

Responsibilities:

• Lead end-to-end data exploration, analytics, and modeling on large-scale, multi-source data to uncover insights and drive business outcomes.
• Architect, design, develop, and deploy optimized data analytics algorithms, models, and solutions.
• Drive the development of agentic AI applications leveraging data processing and analytics pipelines.

Requirements:

• In-depth theoretical and practical knowledge of a wide range of Data Science and Machine Learning algorithms, including Deep Learning (e.g., CNNs, RNNs, Transformers) and Reinforcement Learning.
• Strong Python programming skills with extensive experience using data analysis and ML frameworks and libraries.
• Proven experience in designing, training, tuning, and evaluating diverse machine learning models, including LLMs, computer vision, and time series analysis.
• Expertise in data preprocessing, feature engineering, and advanced model evaluation techniques (e.g., A/B testing, causal inference).

Preferred:

• Master’s or PhD in a Science or Engineering field.
• Experience in building and maintaining scalable, big data applications in a cloud environment.

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

As our Hardware Prototyping & Lab Lead, you will be the cornerstone of the physical engineering environment where the future of Software-Defined Vehicles (SDV) comes to life. While Sonatus is a software-first company, our breakthrough technology requires a world-class hardware foundation to bridge the gap between code and the road.

You won't just be managing a lab; you’ll be a critical enabler for our engineering teams, ensuring they have the infrastructure, prototypes, and technical support needed to deploy AI-enabled software into vehicles worldwide. This role offers the unique opportunity to blend administrative leadership with deep hands-on technical execution, managing the transition of high-precision diagnostic tools and gateways from prototype to specialized, low-volume production. Given the highly collaborative and physical nature of our engineering labs, this role is 100% onsite at our Sunnyvale headquarters. You will report directly to our Senior Manager of Hardware Engineering.

Highlights & Learning Opportunities:

• Scale the Future of SDV: Play a hands-on role in supporting prototypes that are redefining automotive architecture and rapid feature evolution.
• Multi-Disciplinary Impact: Bridge the gap between hardware, software, and QA by collaborating across teams to solve complex integration challenges.
• Lead Lab Innovation: Take full ownership of procurement and lab infrastructure, evolving our Sunnyvale headquarters into a state-of-the-art hardware development hub.
• Deepen Technical Mastery: Enhance your expertise in failure analysis, custom harness design, and automation-integrated testing within a Linux-based environment.

Roles & Responsibilities

Lab Administration & Operations:

• End-to-End Lab Management: Oversee the organization, inventory, and lifecycle management of all lab equipment, electronic components, and consumable supplies.
• Infrastructure Excellence: Lead the procurement, installation, and optimization of lab infrastructure to meet evolving engineering needs.
• Compliance & Maintenance: Coordinate the rigorous calibration, maintenance, and repair schedules for specialized test equipment.
• Operational Support: Manage the Engineering Hardware Lab Jira ticketing system to prioritize and resolve technical requests efficiently.

Prototype Development & Specialized Production:

• Low-Volume Production Support: Execute programming for critical devices (CPLDs, Flash, EEPROMs) and perform mechanical integration for specialized system builds.
• Harness Architecture & Design: Translate system-level block diagrams into detailed wiring schematics and harness drawings, including connector selection, pin-out definitions, and wire gauge calculations for power and high-speed data.
• Functional Validation: Perform comprehensive functional testing and mechanical integration for early-stage prototypes and low-volume production units.
• Root Cause Analysis: Conduct deep-dive debugging and failure analysis on non-functional units to drive design and manufacturing improvements.
• Custom Interconnects: Design and fabricate custom cable harnesses and specialized wiring solutions for vehicle integration and diagnostic testing.
• Automation Synergy: Utilize and interpret code/scripts from QA automation to streamline testing processes within a Linux-based environment.

Cross-Functional Collaboration:

• Engineering Partnership: Act as a key technical collaborator for hardware, software, and QA engineers on complex development tasks.
• Environment Stewardship: Ensure a safe, orderly, and highly productive hardware lab environment that reflects Sonatus’ high standards.

Requirements

• Proven Expertise: Extensive experience in hardware lab management and technical support, ideally within a fast-paced R&D or development environment.
• Harness Design Expertise: Proven experience using CAD or specialized wiring tools (e.g., RapidHarness, Visio, or AutoCAD Electrical) to design complex automotive or aerospace cable assemblies.
• Technical Literacy: Advanced ability to read and interpret complex schematics and high-density PCB layouts.
• Hands-on Debugging: Expert-level proficiency in electronic test and debug using DMMs, oscilloscopes, and regulated power supplies.
• Networking Fundamentals: Solid understanding of basic networking concepts, including LANs, subnets, TCP/IP, and automotive interconnect standards (1000baseT1 & CAN).
• Software Fluency: Familiarity with coding concepts and the ability to navigate Linux environments and read basic scripts.
• Physical Capability: Ability to lift and move equipment up to 25 pounds.

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

Role Summary:

We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles.

This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution—someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system.

Responsibilities:

• Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification.
• Lead the development of agentic orchestration by designing and implementing mission-critical components 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, 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.
• 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:

• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
• 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments.
• Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions.
• Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases.
• 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.
• Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable.

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

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.

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.

The Opportunity

We are looking for a highly motivated Engineering Technical Program Manager to define, manage, and support Sonatus Engineering projects. The ideal candidate will need to coordinate and communicate project status, follow up on action items, and identify solutions to issues across various partners and customers. The ideal candidate should be a meticulous organizer, an out-of-the box thinker, and an excellent communicator with a can-do attitude.  

Roles & Responsibilities

• Drive internal engineering teams in the development of project plans, monitor schedules, document agreement & meeting minutes, track action items, drive issues to successful closures.
• Coordinate and manage software releases and engineering change requests. 
• Lead multiple simultaneous projects and be able to develop mitigation plans when challenges surface. 
• Grasp business needs and issues quickly and be comfortable in presenting reports and providing status to different teams. 

Requirements

• Bachelor’s degree with a minimum of 8 years of Technical Program Management experience leading complex software releases.
• Strong understanding of software development processes.
• Self-motivated, persistent, organized, ability to multi-task across several projects.
• Manage projects from initiation to completion, while providing regular updates and communication to cross functional teams and partners.
• Utilize technical background and engineering methodology to prioritize and tackle complex problems.
• Excellent written and verbal communication and presentation skills.
• Ability to work cross functionally on large, complex programs with a high level of ambiguity and strategically leading programs to success.
• Well versed in Agile Project Management processes.
• Work well with rapid changes and feel comfortable navigating through uncertain and ambiguous situations.
• Prior experience working on one or more areas such as Embedded Software, Cloud Networking, TCP/IP based products or Automotive industry.

Desired Skills & Experience 

• Technical background preferred in Networking, Automotive Infrastructure, Electrical, or Mechanical. 
• Experience with Microsoft project, JIRA, Excel, or similar tools. 
• Demonstrate the out-of-box thinking for creative solutions to highly sticky problems. 
• Develop processes to cut through complexity; employ creative methods to navigate across hurdles both technical and organizational. 
• Cultivate meaningful collaboration across teams and geographical boundaries. 
• Experience in automotive design review and audit process, such as ISO 26262, Automotive SPICE, or ASIL standards will be a plus.

Benefits Offered:

• Competitive compensation and equity program
• 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, 15 paid holidays
• Hybrid office work arrangement/flexibility

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!

Join our Talent Community to stay connected and informed about exciting career opportunities within our organization. Whether you're looking for a role now or considering future opportunities, our Talent Community is the perfect way to stay engaged with us.

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

Role Summary:

We are seeking a highly motivated Senior 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 the 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. 

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.

Requirements:

• 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.

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 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

Role Summary:

Sonatus builds the software platform for AI-enabled, software-defined vehicles. Our CI/CD platform serves over 200 repositories across three product lines, producing firmware that ships to automotive OEMs. We are looking for a Sr. Staff DevOps Engineer to own the delivery platform: CI/CD pipelines, release automation, artifact management, build tooling, and the instrumentation that tells us whether it's all working.

Today, our delivery infrastructure is fragmented — multiple Jenkins instances configured by hand, release processes driven by ad-hoc scripts, and no unified metrics on how software moves from commit to customer. You will consolidate this into a unified, codified, observable delivery platform. You think in terms of systems, supply chains, and feedback loops — not individual pipelines.

Responsibilities:

CI/CD platform architecture — Own the consolidation and evolution of multiple Jenkins instances into a unified, configuration-as-code managed platform. Drive the migration strategy across Jenkins and GitHub Actions for 200+ repositories. Design shared pipeline libraries and patterns that scale across product lines without fragmenting into per-team forks.

Release engineering — Own the release tooling and automation for multi-product releases spanning three hardware platforms and multiple automotive customers. Tagging, branching, config generation, and customer artifact delivery. The current toolchain is functional but brittle — your job is to make releases reliable, repeatable, and auditable.

Artifact lifecycle management — Own the Artifactory platform (JFrog SaaS): repository structure, retention policies, token lifecycle, build promotion from staging to release, and customer-facing distribution. You manage the full artifact flow from build output to customer delivery.

Build tooling and reproducibility — Own the build system architecture across three divergent toolchains: Bazel for hermetic static builds, CMake for the embedded monorepo, and Yocto for custom embedded distributions. Drive toward reproducible, cacheable, fast builds regardless of the underlying toolchain.

Security scanning integration — Own the integration of static analysis (Coverity) and software composition analysis (BlackDuck) into CI/CD pipelines. Automate scan scheduling, report generation, and quality gate enforcement to meet automotive compliance requirements (ESIR-ISIR).

CI/CD observability and DORA metrics — Instrument the delivery pipeline with OpenTelemetry. Define and measure the four DORA metrics: deployment frequency, lead time for changes, change failure rate, and mean time to recovery. Build dashboards that make delivery health visible. Own the 30-minute build SLO.

Software supply chain — Own dependency management, credential lifecycle, artifact provenance, and the path toward SBOM generation. Eliminate manual credential management and single-person dependencies from the delivery pipeline. Every artifact should be traceable from the source commit to customer delivery.

Requirements:

• 10+ years in DevOps, SRE, or release engineering, with hands-on ownership of CI/CD platforms at scale — not just pipeline authoring, but platform architecture, reliability, and evolution
• CI/CD platform expertise — Deep experience with Jenkins (multi-controller, shared libraries, JCasC, distributed agents) or equivalent enterprise CI/CD platform. You've operated the platform, not just consumed it
• Release engineering — You have owned or built release automation for a multi-product software organization. You understand branching strategies, semantic versioning, promotion workflows, and customer delivery mechanics
• Artifact management — Experience with JFrog Artifactory, Nexus, or similar. You've designed repository structures, managed token lifecycles, and implemented retention policies at scale
• Infrastructure as Code mindset — Terraform or equivalent for managing platform configuration as code. You treat configuration drift as a bug. Jenkins configured through a UI is a problem to solve, not a steady state
• Observability and instrumentation — You have implemented DORA metrics, build SLOs, or equivalent delivery pipeline instrumentation. Experience with Prometheus/Grafana, OpenTelemetry, or similar stacks
• Software supply chain awareness — Dependency management, credential hygiene, security scanning integration (SAST/SCA), and the principles behind reproducible builds. You understand why "it works on the build server" is not acceptable

Nice to Have:

• GitHub Actions at scale (ARC self-hosted runners, OIDC authentication, org-wide reusable workflows)
• Embedded build toolchains (Bazel, Yocto, CMake cross-compilation)
• Automotive compliance experience (ESIR-ISIR, ASPICE, MISRA)
• Experience migrating or consolidating legacy CI/CD infrastructure into modern platforms

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