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Summary of Role: GlobalFoundries is seeking an early-career AI Software Engineer to bridge cutting-edge machine learning capabilities and scalable software production. The engineer will build, optimize, test, and deploy AI models within an AI platform while contributing across the AI inference software lifecycle and collaborating with software, machine learning, and hardware architecture teams.
Essential Responsibilities include: - Integrate, deploy, test, and scale machine learning models, including large language, computer vision, and predictive models, within production-oriented AI pipelines.
- Profile latency, memory usage, throughput, and computational footprint, and optimize AI inference workflows for edge devices or cloud infrastructure.
- Design and implement maintainable software components and APIs, using modern AI-assisted development tools to accelerate prototyping, testing, debugging, and code review while following team engineering practices.
- Own technical documentation for engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures, and communicate results and trade-offs to cross-functional teams.
Other Responsibilities: - Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications: - Education - Graduating with a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Data Science or related field from an accredited degree program.
- Must have at least an overall 3.0 GPA and proven good academic standing.
- Experience with at least one major machine learning framework, such as PyTorch or TensorFlow.
- Strong object-oriented programming fundamentals and experience with software version control using GitLab, GitHub, or related tools.
- Demonstrated ability to navigate ambiguous technical problems, learn new tools quickly, and communicate technical trade-offs effectively.
- Language Fluency - English (Written & Verbal)
Preferred Qualifications: - Prior related internship or co-op experience
- Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
- Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
- Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
- Strong written and verbal communication skills
- Strong planning & organizational skills
- Familiarity with low-level, high-performance programming, such as kernel optimization, systems programming, or hardware accelerators.
- Exposure to cloud systems such as AWS, and participation in AI/ML hackathons, open-source projects, or university research labs.
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Expected Salary Range$72,000.00 - $141,700.00
The exact Salary will be determined based on qualifications, experience and location.
