Hardware Engineer

About the job

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: 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. Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. • OR Master’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. • OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Core Technical Expertise: • 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. Additional Expertise: • 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/TensorFlow, Scikit-learn, Pandas, NumPy.

Requirements

• Hardware Engineering
• Python
• Machine Learning
• Software Engineering

Qualifications

• Computer Science
• Electrical/Electronics Engineering
• Engineering

Preferred Technologies

• Hardware Engineering
• Python
• Machine Learning
• Software Engineering

About the company

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.