Staff Engineer-C++ , Embedded, AI/ML, GenAI,edge aing
Qualcomm · Posted Oct 13
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
Qualcomm's Generative AI team focuses on integrating cutting-edge GenAI models onto Qualcomm chipsets, using the chips' heterogeneous computing capabilities to run inference of GenAI models on-device without a cloud connection. The team's inference engine runs neural network models trained in a variety of frameworks on Snapdragon platforms, with a power-efficient hardware and software stack supporting Large Language Models (LLMs) and Large Vision Models (LVM). This role drives development and commercialization of the Qualcomm AI Runtime, working on C/C++ software stacks for edge-based GenAI deployment, LLM/Transformer inference, and performance optimization for AI hardware accelerators.
What you will do
- In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force.
- As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs.
- Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
- These positions are strictly for ML Edge AI inference SDK development on embedded systems — not Applied AI, Data Science, or ML model training roles.
- Strong hands-on C++ experience is mandatory. Python alone is not acceptable, and C is not sufficient.
- Job location: Hyderabad only, 5 days onsite in office. These roles are not open for Bangalore/Pune/remote. Candidates must be willing to relocate.
- Master’s/bachelor’s degree in computer science or equivalent.
- 15 years of relevant work experience in software development. (We have openings at multiple levels)
- Strong in C++ programming, Design Patterns and OS concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- Strong in C/C++ programming, Design Patterns and OS concepts.
- Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.)
- Floating-point, Fixed-point representations and Quantization concepts.
- Excellent analytical and debugging skills.
- Good communication skills (verbal, presentation, written).
- Ability to collaborate across a globally diverse team and multiple interests.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
Recent coverage
All About Circuits
Qualcomm Unveils Snapdragon 8 Elite Extreme Gen 6 and Gen 6 Chips at Snapdragon Summit 20262026-10-06
Quartz
Qualcomm Returns to Court Against Arm in High-Stakes Trial Over Royalties and Testing Tools2026-10-06
Barchart
Qualcomm's Strategic Shift: Expanding into Automotive, IoT, and AI Infrastructure2026-10-06
Qualcomm Newsroom
Snapdragon Leads the Agentic AI Age with Two of the World's Fastest Mobile SoCs2026-09-22