
Principal Engineer -AI SW
at Qualcomm
Posted 11 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Lead a multi-disciplinary AI software team working on Gen-AI model enablement, features development, system design, tooling, APIs and debugging, with emphasis on robustness, validation, and automotive readiness. Architect and own system-level AI software components across host and on-device components, defining long-term technical strategy and making high-impact architectural trade-offs. Mentor senior engineers and collaborate with cross-functional leaders to shape platform roadmaps and deliver automotive-grade AI software solutions.
Company:
Qualcomm India Private LimitedJob Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drive digital transformation powered by AI at the edge. Our AI Software team builds Gen-AI software across host and on-device components to enable efficient on-device AI inference. We are seeking ambitious engineers who can deliver high-quality software in a fast-paced environment with strong cross-functional interaction.
In this role, you will lead team contributing across multiple workstreams (Gen-AI Model enablement, Features development, System Design, Tooling, APIs and debugging) with emphasis on robustness, validation, and automotive readiness.
Mandatory Qualifications
Experience in architecting software solutions, leading teams delivering highly critical embedded or edge software systems with a strong background in C++/Python.
Experience in people management.
Deep and broad system architecture expertise, spanning host software, on-device components, tools, and validation stacks.
Experience in delivering AI software solutions.
Exceptional analytical and decision-making ability, making strategic choices with significant business impact.
Excellent communicator and influencer with senior, cross‑functional stakeholders across sites, effectively presenting architecture and strategy to executives and large technical audiences to help shape platforms and product roadmaps.
Proven mentoring and leadership across organizations, developing senior technical talent, fostering a culture of learning, and building a strong pipeline of future tech leaders.
Preferred Qualifications
Experience in on-device software development or heterogeneous computing platforms (CPU, GPU, NPU, DSP, ASIC HW etc).
Experience with low-level interactions between operating systems (Linux, Android, QNX, Windows) and hardware.
Experience in AI inference on HW accelerators, with a strong focus on key KPIs such as performance, accuracy, and end-to-end inference metrics.
Exposure to AI frameworks (e.g., PyTorch/TensorFlow/ONNX).
Experience in embedded / systems software on SoCs (Linux/Android/QNX).
Experience using/integrating Qualcomm AI Stack products (e.g., QNN, SNPE, QAIRT).
Proven track record of delivering AI software products for automotive platforms.
Educational Qualifications
Bachelor’s/master’s in engineering, Computer Science, AI/ML, Information Systems, or related field.
18+ years of industry experience in software engineering with solution-oriented mindset.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
Key Responsibilities
Own system-level architecture for AI Software components, translating product/platform requirements into cohesive architecture, technical requirements, and measurable performance/quality targets.
Define and drive long-term technical strategy for AI software components, anticipating future platform needs.
Make and defend high-impact architectural trade-offs across cost, performance, power, robustness, and safety.
Serve as the go-to expert for one or more deep technical areas within AI software team while maintaining strong system breadth, enabling team to resolve highly complex design and integration issues end-to-end.
Drive cross-team technical alignment and influence roadmap decisions, collaborating with senior leaders and principal-level peers across engineering/product/program management, QA, and solution engineering teams.
Mentor and develop senior/staff engineers and future technical leaders, providing tailored technical and career guidance and fostering a culture of innovation and excellence.
Represent AI software team in high-stakes technical and strategic forums, communicating strategy, risk, and technical rationale to executives and external stakeholders and influencing key organizational decisions.
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).
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