AI ML Senior Engineer

Company:

Qualcomm India Private Limited

Engineering Group, Engineering Group >
Hardware Engineering

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next‑generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring‑up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting‑edge, world‑class products.

Qualcomm Hardware Engineers collaborate with cross‑functional teams to develop solutions and meet performance requirements.

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
• Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
• PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

Strong software development experience (software engineering principles, algorithms, and data structures) with proficiency in Python.

Strong foundations in mathematics for ML and ML Algorithms (regression, tree ensembles, SVMs, clustering, time series), feature selection (PCA, mutual information), and model interpretability.

Hands‑on experience with deep learning architectures (CNNs, RNNs, LSTMs, Transformers), training optimization (regularization, gradient clipping, learning rate scheduling), and advanced loss functions (contrastive, triplet).

Ability to break down design requirements and propose innovative, scalable solutions.

Exposure to generative AI & LLMs:
Experience with prompt engineering, RAG, parameter‑efficient fine tuning, context management, and LLM evaluation frameworks.

Good understanding of VLSI Design Execution - with development experience on PnR or Synthesis or STA.

Tooling & Infrastructure:
Proficient in Python, PyTorch/Tensor Flow, Scikit‑learn, Pandas, Num‑Py.

6+ years experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

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For more information about this role, please contact Qualcomm Careers.