Staff/Sr Staff Engineering Chipset
Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning
In short
As a Staff/Sr Staff Engineering Chipset at Qualcomm in Bangalore, India, you will be responsible for AI/ML strategy and platform leadership, defining the technology roadmap, and driving the adoption of advanced AI systems like LLMs and multimodal AI for automotive and edge platforms. This role requires a strong background in AI/ML system design and hands-on experience with ML frameworks and edge deployment to ensure the successful delivery of large-scale, production AI systems.
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.
- 12-15 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.
- 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Desired Qualifications
- Master’s or PhD in AI/ML, Computer Science, or related field.
- 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.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
Skills
C++JavaPythonPyTorchTensorFlowONNX
#AI/ML#Software Engineering#Embedded Systems#Cloud Edge#Chipset
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
4 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Executive
Locations
Bengaluru, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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