Dell - AI/ML Firmware Engineer

3 weeks ago

Bengaluru, Karnataka, India Hirist Full time

Note : If shortlisted, you will be invited for initial rounds on 13th September'25 (Saturday) in will :


- Lead the design, development, training, and deployment of AI/ML models including :

1. Traditional ML models (e.g., classification, regression, clustering)

2. Generative AI models (e.g., GPT, LLaMA, Mistral, Claude)

3. 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 :

1. Log summarization and root cause analysis

2. Firmware issue classification

3. 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.

- Take the first step towards your dream career

- Every Dell Technologies team member brings something unique to the table. Heres what we are looking for with this role : Requirements :


- 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. 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.

(ref:hirist.tech)

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