Director Engineering - Chipset
Qualcomm · Posted Oct 23
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
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About the role
Qualcomm's Engineering Group develops embedded and cloud edge software for next-generation products. The role focuses on AI/ML platforms for automotive and edge AI, including LLMs, VLMs/LVMs, multimodal AI, and agentic AI. The Director will define the AI/ML roadmap, translate workload requirements into silicon and platform capabilities, oversee production delivery, and lead multidisciplinary engineering teams.
What you will do
- AI/ML Strategy & Platform Leadership
- 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 end‑to‑end 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).
- Build, mentor, and scale multi‑disciplinary AI/ML engineering teams (ML engineers, systems engineers, platform engineers).
- Set technical direction, define career growth paths, and uphold a high bar for engineering excellence.
- Foster a culture of ownership, accountability, and innovation.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
- 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
- Bachelor’s degree in Engineering, Computer Science, or a related field.
- 25+ years of industry experience in software engineering.
- 20+ years of people management experience, including managing managers or senior technical leads and customers.
- 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
Preferred 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 and support
- Compensation and benefits are detailed in the job posting
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
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