Machine Learning Engineer

Company

Qualcomm Atheros, Inc.

Engineering Group, Engineering Group > RFIC Design

Qualcomm is seeking a motivated and talented individual to join our team in Santa Clara. This role offers a unique opportunity to work on cutting‑edge machine learning and data modeling projects and their hardware implementation. The ideal candidate will have a strong background in neural networks, autoencoders, decision trees, and other related techniques along with a basic understanding of their deployment on edge devices.

• Explore and develop innovative modeling ideas for various datasets.
• Implement and optimize machine learning algorithms, including neural networks, autoencoders, and decision trees, etc.
• Deploy ML models on edge devices.
• Collaborate with cross‑functional teams to understand project requirements and deliver high‑quality solutions.
• Conduct experiments and analyze results to improve model performance.
• Document and present findings to the team.

• Master’s or PhD. in Computer Science, Electrical Engineering, or a related field.
• Strong proficiency in Python programming.
• Experience with machine learning frameworks such as Tensor Flow, PyTorch, or similar.
• Experience with Generative AI.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem‑solving skills and attention to detail.
• Ability to work independently and as part of a team.

• Previous experience with real‑world data modeling projects.
• Deployment of ML models on edge devices.
• Experience or knowledge of on‑device algorithm development including hardware‑aware ML models.
• Familiarity with analog/RF circuits.

Interested candidates should submit their resume and a cover letter detailing their relevant experience and interest in the position.

• Bachelor's degree in Electrical Engineering with 3+ years of experience designing RF/Analog circuits for wireless products (e.g., LNA’s, PLL’s) and 4+ years of ASIC design, verification, or related work experience.
• Master's degree in Electrical Engineering or related field and 4+ years of ASIC design, verification, or related work experience.
• PhD in Electrical Engineering or related field and 2+ years of ASIC design, verification, or related work experience.
• 2+ years of academic or professional experience using two or more of the following software: CADENCE, Virtuoso, ADS.

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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Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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