This position is to work with a global leader company in the design and development of advanced semiconductors, responsible for architectures and platforms that form the core of some of the most innovative devices on the market. Its silicon engineering drives solutions that deliver high performance, energy efficiency, and intelligent integration, complemented by a key role in advancing modern telecommunications through next-generation wireless connectivity technologies. Its solutions are integrated into billions of devices worldwide, offering an ideal professional environment for talent seeking technological impact, innovation, and growth within a global context..

General Summary

AISW engineering team, you will participate in delivering machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technological verticals or designs.

In this position you will be responsible for designing and implementing the evolution of our development and production environments across our platforms, building and supporting the continuous integration (CI) infrastructure in North America in alignment with the rest of the integral AISW team and Corporate. You will also be responsible for enabling efficient software development environments and integration pipelines, end to end quality assurance and deployment of the AISW commercial products in the global AISW organization. You will show your passion for efficient end-to-end delivery of software with highest quality standards through your analytical, design, programming,



and integration skills.

Responsibilities
Design, implement, and maintain the CI infrastructure to ensure efficient, reliable, and functional software builds.

Develop and optimize software build recipes to support the engineering team's needs.

Collaborate with cross-functional teams across the globe to ensure seamless integration of development tools and processes.

Continuously enhance the development environment and CI infrastructure while resolving any issues by integrating AI Agents into build, test, CI/CD, and developer tooling pipelines wherever appropriate.

Identify opportunities where AI Agents can reduce manual work and accelerate execution.

Stay up to date with industry trends and best practices to continuously improve the development of pipelines and CI practices.

Develop, advertise, and maintain documentation for CI processes, dev. and production environments and build strategies.
Minimum Qualifications
2+ years of experience in software engineering and release engineering/devops

Expertise with Python and in scripting languages ( Bash )





Hands on experience of leverage of at least one type of AI Agent for the software development flow such as Claude code, Open AI Codex or Github Copilot.

Experience in software build/release/deployment.

Experience with Source Control Management ( GIT) and CI/CD systems (Jenkins, Gitlab CI, GitHub actions, TeamCity or similar)

Experience with Linux or Unix based OS systems software development environment

Effective English communication skills (verbal, presentation, written)

Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams
Preferred Qualifications
Programming/debugging skills in more than one programming languages (C/C++ preferred)

Some experience working with deep learning models training / inference pipelines.

Experience profiling software and optimization techniques.

Experience with Windows software development environment.

Experience with Software Builds and CI on Windows platforms

Experience with Android or other embedded systems and developing tools for embedded platforms.

Experience working with virtualization techniques and containerization technologies such as Docker

Experience with automated generation and maintenance of complex software documentation.

Ability to collaborate across a globally diverse team and multiple interests
Education Requirements

Required: Bachelor's degree in Engineering or equivalent experience required, Information Systems, Computer Science, or related field.

Preferred: Master's degree in Computer Science, Computer Engineering, or Electrical Engineering

📌 Software Engineer – AI-Driven CI/CD Infrastructure (Tijuana)
🏢 North American Production Sharing
📍 Tijuana