Qualcomm
Overview
Qualcomm India Private Limited seeks a Hardware Engineer to 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 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 finetuning, 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
6+ years experience
Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including security and other requirements regarding protection of confidential information, to the extent permissible under applicable law.
Contact If you would like more information about this role, please contact Qualcomm Careers.
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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 finetuning, 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
6+ years experience
Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including security and other requirements regarding protection of confidential information, to the extent permissible under applicable law.
Contact If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr