3 days ago
Hanoi, Vietnam or Ho Chi Minh City, VietnamEntry Level
Responsibilities
- Collaborate with cross-functional teams to design, build, and deploy AI solutions.
- Assist with data preparation, model training, and algorithm selection under engineer mentorship.
- Conduct experiments and tests to evaluate AI model performance and optimize models for production.
- Write clean and maintainable code supporting AI system development and deployment.
- Stay current with AI trends and technologies and contribute innovative ideas.
- Participate in research rotations and address engineering challenges involving on-device Agentic AI, quantization, and generative AI model optimization.
Requirements
- Be a final-year student or recent graduate in Computer Science or a cognate field from a Vietnamese or international university.
- Have a minimum GPA of 3.2/4.0, 8.0/10, or equivalent.
- Demonstrate strong interest in research, ability to learn complex technical material, mathematical aptitude, and coding ability.
- Have familiarity with Python and AI frameworks such as TensorFlow, PyTorch, or Keras.
- Have competent English reading, writing, and speaking skills.
- Research experience, competitions, GitHub repositories, AI coursework, and corporate internship experience are preferred or advantageous.
- Exceptional achievements in mathematics, informatics, or programming competitions may qualify applicants for fast-track consideration.
Benefits
- Participate in a 12-month Engineering Residency Program with engineer mentorship and research rotations.
- Receive specialized technical English communication training.
- Work on practical AI engineering challenges involving on-device Agentic AI, quantization, and generative AI model optimization.
- The application period is from 12 October to 12 November 2026.
- Qualcomm provides reasonable workplace and hiring-process accommodations for individuals with disabilities.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.