Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General 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 contributions 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

• Advanced C++/Python expertise with a track record of designing and delivering complex software or embedded components on heterogeneous SoC platforms (Linux/Android/QNX or similar).

• Deep system-level understanding of host/on-device interactions (runtimes, tooling, model execution flows) and their implications on performance, robustness, and safety.

• Proven experience leading design/coding/testing for complex features or subsystems, including coordinating multiple engineers, managing interdependencies, and driving end-to-end quality.

• Experience in Machine Learning and Deep Learning.

• Ability to analyze and synthesize highly complex data to make informed decisions and prioritize technical work.

• Demonstrated leadership across teams, including coaching engineers on complex issues, setting clear expectations, and aligning team development with organizational goals.

• Excellent communication skills for highly complex topics, with ability to persuade and influence cross-functional stakeholders and represent the team in high-visibility technical discussions.

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).

• Experience in delivering AI software products for automotive platforms.

• Experience in people management.

Educational Qualifications

• Bachelor’s/Master’s in engineering, Computer Science, AI/ML, Information Systems, or related field.

• 14 to 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 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Key Responsibilities

• Own AI software components or technology domains – define roadmap, architecture, and quality bar

• Lead the design, implementation, and on-device execution and testing of complex, cross-component features spanning host and on-device software, ensuring they meet performance, robustness, quality and safety goals.

• Drive project and program delivery for areas of ownership – plan and prioritize work, break down large problems into executable tasks for multiple engineers, and manage risk/ambiguity to hit milestones.

• Perform highly complex design and code reviews for critical AI software components, ensuring adherence to best practices

• Collaborate closely with cross-functional partners (Product/program management, QA, CE) to define requirements, resolve complex issues, and integrate AI software solutions into larger system and product contexts.

• Mentor and develop team members through technical guidance, structured reviews, and feedback; raise the bar on design, implementation, and coding and debugging practices across the team.

• Communicate complex technical decisions and status to senior and cross-site stakeholders.

• Work with high autonomy, making critical decisions that significantly affect program or product success, with strong ownership of outcomes.

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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