Algorithm DevOps Engineer

At Aptiv, we are revolutionizing mobility. We specialize in developing advanced safety systems for the automotive industry, ensuring that every aspect of driving is safer and more reliable.

Our department is responsible for the development of radar perception software end-to-end, e.g., processing data received from sensors, generating object data and estimating other important information in the surrounding environment.
Our customers, as well as our internal stakeholders, then use our output to develop feature functions such as Autonomous Emergency Braking (AEB), Adaptive Cruise Control (ACC) and various levels of automated driving functionality.

Your Role:

We are looking for a talented and experienced DevOps Engineer for our Radar Perception Division full of ambitious and highly competent developers at our site in Kraków. In this role, you will be working on the DevOps environment used for ADAS algorithm development. As part of a small but high-impact team, you will work with cutting-edge CI/CD tools to ensure fast and efficient automatic test loops. You will construct and maintain custom automatic jobs for various ADAS testing purposes, such as performance KPI generation, and regression testing, but also traditional tests such as unit testing, static code analysis etc.

Area of responsibility:

• Build, maintain, and optimize CI/CD pipelines to ensure efficient, reliable, and secure deployments across all environments.
• Working in a Scrum team that does automatic testing of ADAS algorithms
• Partly working with the infrastructure - Kubernetes, Docker, static build machines, servers etc.
• Evolution of radar perception CI/CD environment to be more modularized, container- and cloud-based to improve overall efficiency
• Design, implement, and manage automated infrastructure solutions using tools like Ansible, Terraform or similar.
• Monitor, manage, and ensure the reliability and performance of live production environments, responding swiftly to incidents and minimizing downtime

• M.Sc degree in Computer Science, Engineering, or related field. Equivalent work experience may be considered.
• Experience in a DevOps role with a strong focus on CI/CD automation.
• Experience in defining and setting up CI/CD/DevOps environment
• Proven experience with CI/CD tools (e.g., Jenkins, GitLab CI, JFrog, Windriver Studios).
• Solid understanding of containerization and orchestration (Docker, Kubernetes).
• Experience in programming language (e.g., Python and/or C++)
• Experience with version control systems (Git/Gerrit).
• Fluent in English written and verbally
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment.

• Experience working in ADAS projects, preferably in perception or feature function development
• Experience in testing and verification of ADAS features and/or functions
• Experience in automotive standards, e.g., A-Spice and ISO26262
• Certifications in AWS, Azure, or other relevant technologies

• Private health care (Signal Iduna) and Life insurance for you and your beloved ones
• Well-Being Program that includes regular webinars, workshops, and networking events
• Hybrid work (47 days of remote work per year) and flexible working hours
• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
• Access to sports groups and Multisport card