About this role
Company:
Qualcomm India Private LimitedJob Area:
Engineering Group, Engineering Group > Hardware EngineeringGeneral 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.Experience: 0-3 Years (Fresh M.Tech graduates may apply)
Job Summary
We are seeking a highly motivated AI Engineer with an M.Tech degree in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, or a related field. The candidate will be responsible for developing, training, optimizing, and deploying AI/ML models to solve complex engineering and business problems. The role involves working closely with cross-functional teams to build scalable AI solutions and contribute to innovation initiatives.
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models.
- Perform data collection, preprocessing, feature engineering, and model evaluation.
- Develop AI-based solutions for prediction, optimization, automation, and analytics.
- Fine-tune and optimize models for performance, scalability, and accuracy.
- Collaborate with software, data, and domain experts to integrate AI solutions into production environments.
- Conduct research on emerging AI technologies and evaluate their applicability.
- Create technical documentation, reports, and presentations for stakeholders.
Required Qualifications
- M.Tech in AI, Machine Learning, Computer Science, Data Science, Electrical Engineering, or related discipline.
- Strong understanding of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
- Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Knowledge of data structures, algorithms, and software engineering practices.
- Familiarity with model deployment, MLOps, and cloud platforms is a plus.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills
- Experience with Generative AI, RAG pipelines, LLM fine-tuning, or AI agents.
- Knowledge of NLP, computer vision, or reinforcement learning.
- Familiarity with Git, Docker, Kubernetes, and CI/CD workflows.
- Publications, academic projects, or internships in AI/ML are desirable.
Key Competencies
- Innovation and curiosity
- Strong technical aptitude
- Ability to learn quickly and work independently
- Team collaboration and effective communication
- Ownership and problem-solving mindset
Education: M.Tech (AI/ML, Computer Science, Data Science, Electrical Engineering, or related field)
Employment Type: Full-Time
Applicants: 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-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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