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Introduction

IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio  designed for cognitive business and optimized for cloud computing.

Rôle et responsabilités

A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems.

 

  1. Design and implement robust build automation systems that support large, distributed AI/C++/Python codebases.
  2. Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments.
  3. Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability.
  4. Lead the creation of portable, reproducible development environments, ensuring parity between development and production.
  5. Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation.
  6. Collaborate with cross-functional teams — including AI researchers, system architects, and mainframe engineers — to align infrastructure with strategic goals.
  7. Proactively monitor and improve build performance, automation coverage, and system reliability.
  8. Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams.
Formation requise
Baccalauréat
Formation souhaitée
Baccalauréat
Expertise professionnelle et technique requise
  1. Strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms.
  2. Hands-on experience building and maintaining complex automation pipelines (CI/CD) using tools like Jenkins, or GitLab CI.
  3. In-depth experience with build tools and systems such as CMake, Make, Meson, or Ninja, including custom script development and cross-compilation.
  4. Experience working on multi-platform development, specifically on Linux and IBM z/OS environments, including understanding of their respective toolchains and constraints.
  5. Experience integrating native C++ code with Python, leveraging pybind11, Cython, or similar tools for high-performance interoperability.
  6. Proven ability to troubleshoot and resolve build-time, runtime, and integration issues in large-scale, multi-component systems.
  7. Comfortable with shell scripting (Bash, Zsh, etc.) and system-level operations.
  8. Familiarity with containerization technologies like Docker for development and deployment environments.
Expertise professionnelle et technique souhaitée
  1. Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments.
  2. Experience developing or maintaining software on IBM z/OS mainframe systems.
  3. Familiarity with z/OS build and packaging workflows,
  4. Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference).
  5. Knowledge of GPU computing and low-level profiling/debugging tools.
  6. Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments.
  7. Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space
  8.  Proficiency in distributed systems, microservice architecture, and REST APIs.
  9.  Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows.
  10.  Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.
  11.  Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams.
  12.  Proven track record of ensuring compliance with industry best practices and standards in AI engineering.
  13.  Maintained high standards of code quality, performance, and security in AI projects.

L'unité commerciale

IBM Systems aide les chefs de file en TI à penser différemment leur infrastructure. Les serveurs et le stockage d'IBM ne sont plus inanimés - ils peuvent comprendre, raisonner, et apprendre de façon à ce que nos clients puissent innover tout en évitant les problèmes informatiques. Nos systèmes alimentent les plus importantes industries du monde et nos clients sont les architectes de l'avenir. Rejoignez-nous pour aider à constituer notre portefeuille technologique de pointe conçu pour les affaires cognitives et optimisé pour l'informatique en nuage.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Autres détails pertinents sur le poste

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.