Software Senior Principal Engineer

Senior Principal Software Engineer

The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us as a Senior Principal Software Engineer on our Software Engineering team in Bangalore to do the best work of your career and make a profound social impact.

What youll achieve
As a Software Senior Principal Engineer, you will be responsible for developing sophisticated systems and software based on the customers business goals, needs and general business environment creating software solutions.
You will:

• Lead the design, development, training, and deployment of AI/ML models including:
  • Traditional ML models (e.g., classification, regression, clustering)
  • Generative AI models (e.g., GPT, LLaMA, Mistral, Claude)
  • On-device and edge inference models
• Drive end-to-end AI/ML model lifecycle: data collection, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• Fine-tune and optimize LLMs for system-level tasks such as:
  • Log summarization and root cause analysis
  • Firmware issue classification
  • Knowledge mining from platform documentation and specifications
• Integrate AI/ML models into firmware and BIOS-level environments (e.g., pre-boot telemetry, event prediction, anomaly detection). Collaborate across firmware, hardware, software, and cloud teams to deliver intelligent platform features. Build secure and performant AI pipelines using system-level data (telemetry, sensors, boot logs). Lead proof-of-concepts, R&D efforts, and patentable innovations at the intersection of firmware and AI.

• 14+ years of relevant work experience in architecture, design and development of BIOS/Firmware/Embedded Systems (e.g., UEFI, Coreboot, AMI, Insyde) and
• Proven track record in AI/ML model development and deployment, including experience in:
  • Model training, hyperparameter tuning, cross-validation
  • Libraries/frameworks: PyTorch, TensorFlow, Scikit-learn, HuggingFace Transformers
• Hands-on experience with LLMs and GenAI architectures: Transformers, Retrieval-Augmented Generation (RAG), LangChain, model fine-tuning, and inference.
• Knowledge of on-device inference, model optimization (quantization, pruning), and edge ML frameworks.Experience in MLOps, model versioning, and deployment pipelines is a plus.

Desirable Requirements

• Experience developing AI/ML features embedded in firmware or BIOS environments.Prior work in predictive maintenance, system health modeling, or hardware diagnostics using ML.Contributions to GenAI, firmware-AI, or embedded ML open-source projects or research.Experience with security features like TPM, secure boot, firmware attestation, and device identity.