Home Careers Discover openings Senior Software Engineer (ML Infrastructure)

Senior Software Engineer (ML Infrastructure)

Buenos Aires, Argentina

This position is part of a project for a world-renowned high-tech company, focused on building and improving the infrastructure that enables large scale machine learning frameworks used across the industry. Engineers on this project ensure that complex C++ and Python codebases, including core ML frameworks and supporting libraries, remain stable, efficient, and well integrated as they evolve. The role combines software development with build engineering and CI/CD automation, focusing on continuous enhancement of build and integration workflows and contributing to the ongoing evolution of these frameworks and their ecosystem.

Essential functions

  • Develop, refine, and enhance large scale build configurations for C++ and Python projects

  • Build and operate CI/CD pipelines to automate validation, testing, releases, and rollout of updates

  • Investigate and resolve complex build, dependency, and integration issues across multiple repositories

  • Implement code changes, fixes, and small features in ML frameworks and related libraries

  • Ensure reproducible and hermetic builds using modern toolchains, caching, and distributed testing

  • Manage and optimize containerized build and test environments (Docker)

  • Collaborate with infrastructure, release, and ML engineering teams to ensure consistent integration and delivery

Qualifications

  • Strong proficiency in C++ and Python

  • Experience with modern build systems at scale such as Bazel (preferred). Other experience with large build systems (Buck, Pants, CMake, or similar) is also valuable

  • Hands-on experience with CI/CD automation (GitHub Actions preferred, Jenkins, Buildkite, or similar)

  • Proficiency with Git or Mercurial including complex rebases, cherry-picks, and patch workflows

  • Strong Bash or shell scripting for automation and environment setup

  • Familiarity with Docker or similar container technologies for build and test automation

  • Detail-oriented, systematic approach to problem solving with focus on reliability and scalability

Would be a plus

  • Experience working with large open source ML frameworks such as TensorFlow, PyTorch, or JAX

  • Familiarity with GPU build and testing workflows or multi-architecture builds

  • Exposure to distributed or hermetic build environments and remote execution

  • Understanding of dependency graph analysis and build tooling such as Bazel query or cquery

We offer

  • Flexible working hours (full-time).

  • One "Flex Day" off per month – eligible after six months with the company.

  • 10 business days of vacation.

  • Swiss Medical health coverage.

  • Permanent contract with salary review every four months (in ARS).

  • Access to Udemy and Platzi for professional training.

  • Employee Assistance Program (financial, nutritional, psychological support, etc.).

  • Fully covered English classes during working hours.

  • Discounts on Club de Beneficios and Samsung products.

  • Birthday day off.

About us

Mobile Computing is joining Grid Dynamics (NASDAQ: GDYN), a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Apply to the position

apply status Information on personal data processing
decline status You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”

    decline-status file-icon
    Invalid file size or format. DOC, DOCX, TXT, PDF (2 MB)

    Consent to the processing of personal data in future recruitment processes*

    We are committed to maintaining a transparent and ethical workplace. To learn more about how we support open communication, please review our Whistleblower Policy.

    decline-status file-icon
    Invalid file size or format. DOC, DOCX, TXT, PDF (2 MB)
    Submitting
    decline status

    Applications for this job are no longer accepted. Please explore other open opportunities on our platform.

    Vacancy

    Thank you!

    You applied for the position Senior Software Engineer (ML Infrastructure) successfully. We will get back to you soon. Have a great day!

    check

    Something went wrong...

    There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to

    Retry

    Something went wrong...

    Please double-check the information filled in the form, and make sure to provide valid data.

    Retry

    Don’t see the right opportunity?

    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.