Staff Engineer – AI in Embedded Software Development Lifecycle (SDLC)
GlobalFoundries16 hours ago
Pune, IndiaStaff+
Responsibilities
- Define and drive the technical strategy for AI adoption across requirements, design, coding, testing, validation, documentation, and release activities.
- Develop AI-powered solutions for embedded software components including drivers, hardware abstraction layers, BSP integrations, register-access layers, and validation utilities.
- Design and deploy RAG systems using source code, technical documentation, silicon specifications, issue-tracking data, and historical validation data.
- Build and fine-tune SLM- and LLM-based solutions for software generation, test automation, defect triage, and engineering productivity.
- Create automated pipelines that transform requirements and design specifications into embedded test cases, validation frameworks, and simulation scripts.
- Develop AI solutions for post-silicon validation, including log analysis, anomaly detection, failure clustering, regression triage, and root-cause assistance.
- Integrate AI tooling into source control, code review, IDE, CI/CD, and validation workflows.
- Establish model evaluation methods and quality metrics for correctness, code quality, coverage, build success, productivity, and developer adoption.
- Define governance, traceability, security, IP protection, and compliance controls for AI-generated artifacts in safety-critical environments.
- Provide technical leadership, mentorship, and AI enablement across software, architecture, validation, and platform engineering teams.
- Support safety, environmental, health, security, quality, product security, knowledge-sharing, and continuous-improvement activities.
- Travel up to 10% as required.
Requirements
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
- 4–8 years of industry experience in embedded software development, firmware engineering, platform software, or related fields.
- Strong proficiency in C/C++ and Python, with hands-on embedded software experience for microcontrollers, microprocessors, automotive systems, or embedded Linux.
- Strong understanding of RTOS scheduling, interrupts, synchronization, memory management, and low-level driver development.
- Experience with embedded communication interfaces including CAN, LIN, SPI, I2C, UART, or Ethernet.
- Practical experience with PyTorch, Hugging Face, LangChain, LlamaIndex, Haystack, or equivalent AI/ML technologies.
- Experience developing and deploying RAG architectures, vector databases, embeddings, semantic search, and knowledge retrieval systems.
- Expertise in fine-tuning methods including LoRA and QLoRA.
- Experience integrating AI solutions into software engineering workflows, developer tools, CI/CD pipelines, and automated validation environments.
- Knowledge of model serving, optimization, quantization, and on-premises deployment.
- Experience with embedded testing, silicon bring-up, HIL validation, system debugging, and hardware/software integration.
- Ability to collaborate across distributed global engineering teams.
- Preferred qualifications include a master's or Ph.D. degree, RISC-V experience, AUTOSAR and ISO 26262 knowledge, IDE or developer-platform development, MLOps and GPU environments, compiler or program analysis experience, AI governance, research or open-source contributions, and semiconductor or post-silicon validation experience.
Benefits
- Employment offers are subject to background checks, applicable medical screenings, and local laws.
- GlobalFoundries provides an equal-opportunity, diverse, and inclusive workplace.
- The role is based in Pune, India, with travel of up to 10% as required.
- Candidates will not be charged recruitment fees, and legitimate communications are conducted through official GlobalFoundries channels.
Categories
About GlobalFoundries
GlobalFoundries manufactures semiconductors as a contract foundry, offering process technologies, design enablement, and wafer fabrication for chip designers and device makers across automotive, data center, mobile, and IoT markets. Headquartered in Malta, New York and founded in 2009, it operates fabs in the U.S., Europe, and Asia and is listed on Nasdaq (GFS). Customers use its analog/RF, high-voltage, and specialty nodes alongside advanced CMOS.