Senior DevOps Engineer - Edge AI & Robotics

Join Aptiv as LeadDevOps Engineer – Edge AI & Robotics to design and operate scalable automation and deployment pipelines for robotics, drones, AMRs, and edge platforms. You will partner with software, AI/ML, embedded teams to boost release quality, deployment reliability, and visibility across cloud, edge, and embedded environments. You’ll drive CI/CD, infrastructure-as-code, and tooling improvements that accelerate development at scale. This role supports Aptiv’s Robotics and Adjacent Markets expansion, shaping reliable, safe intelligent systems.

• flexible work environment
• learning and professional development
• internal & external training and certifications
• recognition for innovation and excellence
• opportunities to give back to the community
• world-recognized international environment

• Design, implement, and maintain CI/CD pipelines for robotics, embedded software, AI/ML, and edge platform development
• Automate build, test, integration, packaging, release, and deployment workflows across multiple software components and hardware targets
• Establish scalable release engineering practices including versioning, artifact management, dependency control, and traceability
• Collaborate with development teams to improve build reliability, pipeline performance, test coverage, and software delivery velocity
• Develop automation scripts, reusable pipeline templates, and standardized DevOps workflows for global engineering teams
• Support secure software delivery practices including access control, secrets management, dependency scanning, and compliance reporting
• Drive continuous improvement of development infrastructure, toolchains, and release readiness processes
• Build and operate development, integration, and deployment infrastructure for cloud, edge, and embedded computing environments
• Create infrastructure-as-code solutions and automation for reproducible environments, test benches, and deployment targets
• Support containerized workflows using Docker and orchestration technologies such as Kubernetes where applicable
• Enable reliable deployment of software artifacts to Linux-based edge devices, embedded targets, simulation systems, and validation platforms
• Implement monitoring, logging, and observability practices to improve system visibility, troubleshooting, and operational readiness
• Partner with software, AI/ML, embedded, systems, and validation teams to define efficient development and integration workflows
• Improve software quality through automated build verification, unit tests, integration tests, static analysis, and regression testing
• Support toolchain integration for source control, issue tracking, requirements management, artifact repositories, and test reporting
• Develop dashboards and reports that provide visibility into pipeline health, release status, build quality, and test results
• Enable reproducible development environments for local development, CI runners, simulation platforms, and target hardware
• Support compliance with applicable software development processes, cybersecurity expectations, and quality standards
• Troubleshoot build, test, deployment, infrastructure, and environment issues across distributed engineering teams
• Support deployment workflows for AMRs, drones, industrial automation systems, and intelligent edge devices
• Automate packaging and deployment of robotics software, middleware, AI/ML models, drivers, and platform services
• Work with robotics teams using Linux, ROS 2, DDS, Docker, simulation environments, and embedded hardware platforms
• Enable reliable integration between sensors, compute platforms, software services, test infrastructure, and cloud-connected systems
• Support hardware-in-the-loop, simulation-in-the-loop, and target deployment workflows for validation and continuous testing

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related discipline
• 3-5 years of experience in DevOps, CI/CD, release engineering, software infrastructure, or platform engineering
• Hands-on experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar
• Strong experience with Linux environments, scripting, automation, and software build systems
• Experience with Docker, containerized development workflows, and artifact management
• Experience with infrastructure-as-code, configuration management, or automated environment provisioning
• Proficiency in scripting languages such as Python, Bash, or PowerShell
• Understanding of software engineering principles, version control, branching strategies, testing workflows, and release processes
• Strong troubleshooting, communication, and cross-functional collaboration skills

• Strong collaboration and cross-functional teamwork
• Effective communication and stakeholder engagement
• Pragmatic problem-solving and ownership mindset
• CI/CD tooling (GitHub Actions, GitLab CI, Jenkins, Azure DevOps)
• Linux-based development and scripting
• Docker and containerized workflows