Lead Engineer, Senior Machine Learning (ML Compiler) at Qualcomm India Private Limited
Listed by DevShelfHub
About the Role
Qualcomm India is hiring a Lead Engineer, Senior Machine Learning (ML Compiler) in Bangalore to advance state-of-the-art AI across Mobile, AR/VR, IoT, and Auto ADAS on Snapdragon heterogeneous computing platforms.
This role leads design and development of AI/ML solutions, optimizes quantization techniques for Qualcomm hardware, mentors junior engineers, and drives ML compiler and graph optimization innovations.
What you'll do
- Lead the design, development, and implementation of AI/ML solutions across multiple domains on Qualcomm's AI Software stack.
- Leading design, development, and implementation of AI/ML solutions across multiple domains
- Collaborating with cross-functional teams for seamless AI/ML component integration
- Mentoring and coaching junior engineers
- Addressing and resolving AI model optimization issues for high performance and accuracy
- Conducting research on industry trends and innovations in AI/ML
- Developing and optimizing quantization techniques for efficient execution on Qualcomm hardware
- Managing project timelines, objectives, and goals across functional areas
- Applying machine learning compiler techniques and graph optimizations
- Ensuring high performance and accuracy of optimized AI models
What we're looking for
- Bachelor's degree in Engineering, Computer Science, or related field and 4+ years software engineering experience
- OR Master's degree and 3+ years software engineering experience
- Experience with software architecture and programming languages
- Experience with tools and frameworks such as PyTorch, TensorFlow, ONNX, and others
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Lead ML compiler and quantization work on Snapdragon platforms where your optimizations directly impact AI performance on billions of consumer and automotive devices.
- Lead design, development, and implementation of AI/ML solutions across multiple domains
- Develop and optimize quantization techniques (8-bit, 4-bit) for efficient Qualcomm hardware execution
- Apply machine learning compiler techniques and graph optimizations
- Mentor and coach junior engineers with development experiences and networking opportunities
- Collaborate with cross-functional teams on seamless AI/ML component integration
- Conduct research on industry AI/ML trends and adopt best practices
- Work with PyTorch, TensorFlow, ONNX, and deep learning frameworks at scale
- Apply in-depth knowledge of CV, NLP, LLM, GenAI, classification, and object detection architectures
- Manage project timelines, objectives, and goals across functional areas
- See work directly impact billions of Snapdragon-powered devices worldwide
About Qualcomm India Private Limited
- Industry
- Technology
- Company Size
- 500+
- Website
- qualcommindiaprivatelimited.com
Skip the queue
Contact the recruiter directly at Qualcomm India Private Limited and follow up personally — most applicants never do.
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–8 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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