Principal Engineer - Chipset

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

Qualcomm is looking for a Principal Engineer in Bangalore, India, to define and lead the AI/ML technology roadmap for automotive and edge AI platforms. This role involves driving the adoption of advanced AI models and influencing hardware/software decisions to deliver cutting-edge products.

Responsibilities

Define and own the AI/ML technology roadmap aligned with business goals across automotive and edge AI platforms.
Drive adoption of LLMs, VLMs/LVMs, multimodal AI, and agentic AI systems for real‑world, safety‑critical deployments.
Influence platform and silicon‑level decisions by translating AI workload requirements into hardware and software capabilities.
Oversee delivery of AI systems from research to production, including model onboarding, optimization, validation, and lifecycle management.
Ensure performance, power, latency, memory, and accuracy targets are met across heterogeneous compute (CPU/GPU/DSP/NPU).
Establish best practices for model optimization (quantization, compression, batching, KV‑cache tuning, mixed precision).

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field.
18+ years of industry experience in software engineering.
Strong background in AI/ML system design, not just model development.
Hands‑on experience with ML frameworks (PyTorch, TensorFlow, ONNX) and edge/embedded deployment.
Proven ability to deliver large‑scale, production AI systems in complex environments.
Programming Language such as C, C++, Java, Python, etc.
Experience with QNN‑like runtimes, inference SDKs, and heterogeneous acceleration.

Desired Qualifications

Master's or PhD in Engineering, Information Systems, Computer Science, or related field and 7+ or 6+ years of experience respectively.
Deep understanding of LLMs, VLMs/LVMs, multimodal and agentic AI architectures.
Experience with automotive or industrial platforms, embedded Linux/QNX, and real‑time constraints.
Familiarity with QNN‑like runtimes, inference SDKs, and heterogeneous acceleration.
Strong customer‑facing experience, including executive‑level technical discussions.
Track record of influencing product and platform roadmaps through technical leadership.
Experience in software architecture and design patterns.
Knowledge of architectural approaches for large-scale software applications.
Previous customer-facing experience is advantageous.
Exposure to fine-tuning GenAI models and reinforcement learning considered a plus.
Expertise in inference accuracy, throughput optimization, and edge deployment highly desirable.
Lead system-level problem triage to identify root causes and communicate testing/debugging results to relevant stakeholders.

Benefits

Qualcomm is an equal opportunity employer.
Commitment to providing an accessible process for individuals with disabilities.
Reasonable accommodations to support individuals with disabilities to participate in the hiring process.

Skills

C++PythonPyTorchTensorFlowONNXLinuxQNX

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