Dell Software Senior Principal Engineer 

India, Karnataka 

512886616

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.