JobsSr. Staff Engineer, Machine Learning Engineering (Quantization SW)
Sr. Staff Engineer, Machine Learning Engineering (Quantization SW)
QualcommSr. Staff Engineer, Machine Learning Engineering (Quantization SW)
QualcommLocation
San Diego, CA
Type
Full-time
Posted
6/11/2026
Compensation
$178,400 - $267,600 per year
Undergraduate with 5+ Years of Experience
Approval 97.1%·Filings 1,170·New hires 255·
✓ Established Sponsor
·FY 2025Job description
Qualcomm is seeking a skilled engineer to join their AI Research team, focusing on advancing Generative AI technology for edge devices. The role involves working in a dynamic research environment alongside a multi-disciplinary team of researchers and software engineers. The successful candidate will leverage their strong theoretical background and hands-on experience to enable on-device AI solutions. Key areas of focus include model optimization techniques, hardware acceleration, and edge inference.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant work experience, or a Master's degree with 5+ years, or a PhD with 4+ years.
- Strong Software Engineering/Development skills combined with a solid foundation in AI and general ML techniques.
- Proven hands-on experience evaluating and optimizing Generative AI workflows.
- Knowledge of neural networks and experience using ML frameworks such as PyTorch and ONNX.
- Strong Python design and implementation skills.
Responsibilities
- Work in a dynamic research environment with a multi-disciplinary team.
- Architect, design, develop, and test model optimization techniques.
- Evaluate and optimize Generative AI workflows for accuracy and performance.
- Collaborate with teams across time zones and contribute as a mentor.
- Establish a high-quality software delivery process using industry best practices.
Benefits
- Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.
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