Staff Engineer – AI in Embedded Software Development Lifecycle (SDLC)

Nice to Have

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or related field.
• Experience with RISC-V processor architectures, toolchains, and ecosystem development.
• Knowledge of AUTOSAR, safety-critical systems, and functional safety standards including ISO 26262.
• Experience developing IDE plugins, engineering productivity tools, or software developer platforms.
• Experience with MLOps infrastructure, GPU-based training and inference environments, and enterprise AI deployments.
• Exposure to static code analysis, compiler technologies, program analysis, or code intelligence platforms.
• Expertise in AI governance, security, model evaluation, traceability, and responsible AI practices.
• Experience publishing research, contributing to open-source projects, or providing technical thought leadership in AI-assisted engineering.
• Experience working with semiconductor product development, post-silicon validation, or firmware platform teams.
• We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
• As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
• All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
• No Recruitment Fee Policy GlobalFoundries is committed to ethical and transparent hiring practices.
• Candidates will not be charged any fees at any stage of the recruitment process.
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