Staff Engineer – AI in Embedded Software Development Lifecycle (SDLC)
GlobalFoundries (company site, opens in a new tab)4–8 yrsPuneOn-siteDirect career pageEst. 25–45 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead technical strategy and execution for integrating AI across the embedded software development lifecycle, including design, coding, testing, validation, and documentation.
- Develop and deploy AI-powered tools using LLMs, SLMs, and Retrieval-Augmented Generation to automate embedded software generation, testing, defect triage, and post-silicon validation.
- Provide technical leadership and mentorship to engineering teams while establishing governance and quality standards for AI-generated code in safety-critical environments.
Minimum Requirements
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, AI, ML, or related field.
- 4 to 8 years of industry experience in embedded software development, firmware engineering, or platform software.
- Proficiency in C/C++ and Python; hands-on experience with embedded software for microcontrollers, microprocessors, automotive systems, or embedded Linux.
- Experience with AI/ML frameworks (e.g., PyTorch, Hugging Face), RAG architectures, model fine-tuning (LoRA, QLoRA), and integrating AI into software engineering workflows.
Ideal Candidate Profile
- Experienced embedded software engineer with strong AI/ML integration skills applied in complex, safety-critical or hardware-proximate software environments.
- Demonstrated ability to bridge embedded firmware/software engineering with AI-driven automation, including AI model deployment in CI/CD and validation frameworks.
- Proven technical leader who can strategize and operationalize AI adoption across distributed global teams while ensuring compliance, security, and code quality.