Senior Engineer - AI & ML Systems

Hyderabad, Telangana
Permanent
Full-time

1 day ago

##
Company:Qualcomm India Private Limited## Job Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:## Senior Engineer – AI & ML Systems## Location: Hyderabad, India## Experience: BTech/MTech with 4-6 Years## Job Function: Engineering – AI / Machine Learning / Systems Software#### Role Overview## Qualcomm is hiring a Senior Engineer to design, develop, and optimize AI/ML system software for next-generation edge, embedded, and platform solutions. This role involves hands-on work with ML runtimes, inference post‑processing pipelines, and microservice-based AI systems, along with growing ownership in LLM and VLM enablement on Qualcomm platforms.## The ideal candidate combines strong systems-level thinking with practical ML deployment experience, and is capable of driving features from design to production.#### Key Responsibilities#### Design, integrate, and optimize ML inference runtimes (e.g., ONNX Runtime, TensorFlow Lite, LiteRT, ExecuTorch, QAIRT, or equivalent)## Develop robust and scalable post‑processing pipelines for vision and multimodal ML models## Enable and optimize LLM and VLM inference workflows, including preprocessing, post‑processing, and orchestration## Design and implement microservices for AI inference, control, and data pipelines using REST/gRPC frameworks## Optimize AI systems for performance, latency, memory footprint, and power efficiency## Debug and resolve complex issues across runtime, framework, OS, and application layers## Collaborate closely with model developers, platform teams, hardware acceleration teams, and QA## Participate actively in code reviews, design discussions, and technical planning## Contribute to architectural decisions and drive best practices across the team###### Required Qualifications#### 4+ years of industry experience in AI/ML systems, platform software, or systems engineering## Strong proficiency in C++ and Python## Hands-on experience with ML inference runtimes and deployment pipelines## Experience implementing ML model post‑processing (e.g., detection, classification, segmentation, embeddings)## Practical exposure to LLMs and/or VLMs and modern inference workflows## Solid understanding of Linux-based systems, multithreading, and system-level debugging## Experience designing or contributing to microservice-based architectures## Strong problem-solving skills and attention to software quality###### Preferred Qualifications#### Experience with Qualcomm platforms or other hardware-accelerated AI solutions## Background in multimedia, computer vision, or video analytics pipelines## Familiarity with containerization and orchestration (Docker, Kubernetes)## Understanding of model optimization techniques (quantization, precision trade-offs, compilation)## Experience contributing to or maintaining large-scale or open-source codebasesMinimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

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