Development Tools Software Intern (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Development Tools Software Intern (Python): Developing and enhancing software tools such as compilers, debuggers, and profilers to improve developer productivity on platforms with an accent on toolchain integration and performance analysis. Focus on optimizing engineering workflows, implementing CI/CD processes, and solving complex software engineering challenges.
Location: Must be based in Mexico (Guadalajara). Hybrid work model available.
Company
's Data Center Group (DCG) delivers Xeon-based solutions and custom x86 products for general-purpose compute, web services, HPC, and AI-accelerated systems.
What you will do
- Assist in the design, development, and integration of compilers, debuggers, and profilers.
- Collaborate with architects and product teams to ensure tool chains meet platform and developer needs.
- Perform analysis, debugging, and feature enhancements to optimize code quality and productivity.
- Contribute to the creation and maintenance of CI/CD processes.
- Apply programming and scripting knowledge to solve complex engineering challenges.
- Support technical requirement definitions and disciplined execution of software projects.
Requirements
- Currently pursuing a Masters or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (minimum 1 year remaining).
- 6+ months of experience with Python and object-oriented software design.
- Experience with CI/CD processes and software debugging techniques.
- Advanced English level.
- Must have unrestricted, permanent right to work in Mexico; no visa or immigration sponsorship is available.
Nice to have
- Exposure to hardware design reviews within a software engineering context.
- Familiarity with design methodologies and technical requirement definitions.
- Interest in collaborative and cross-functional teamwork.
Culture & Benefits
- Hybrid work model allowing a split between on-site and off-site work.
- Opportunity to work with industry experts on cutting-edge technology.
- Exposure to large-scale data center and AI-accelerated system ecosystems.
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