Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Software Engineering
General Summary
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Application Engineer, you will provide technical expertise of software systems through technical presentations in support of business development, product demonstrations, design and development of customer specific requirements, commercialization, and maintenance of Qualcomm products. Qualcomm Engineers collaborate with cross-functional teams and customers to address questions, issues, debugging, or troubleshooting regarding software systems and applications.
Summary
Role Overview
We are seeking a
Director of AI/ML Engineering to lead the commercialization of
productiongrade AI/ML and GenAI solutions across
automotive and edge platforms. This role owns
technical strategy, execution, and customer ownership for AI systems spanning
LLMs, VLMs/LVMs, multimodal AI, and agentic frameworks, deployed on
heterogeneous SoCs (CPU/GPU/DSP/NPU) under strict performance, safety, and reliability constraints.
The Director will shape the
AI roadmap, build and scale
highperforming teams, partner with
product, silicon, and customer engineering, and ensure delivery of
differentiated, scalable AI capabilities across infotainment, digital cockpit, ADAS, industrial, and connectededge use cases.
Job Title
Director AI/ML Engineering (Automotive & Edge AI)
Location: Bengaluru, India
Employment Type: Fulltime
Key Responsibilities
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 realworld, safetycritical deployments.
- Influence platform and siliconlevel decisions by translating AI workload requirements into hardware and software capabilities.
Execution & Delivery
- Oversee endtoend 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, KVcache tuning, mixed precision).
Team & Organizational Leadership
- Build, mentor, and scale multidisciplinary 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.
CrossFunctional & Executive Collaboration
- Partner closely with Product Management, Silicon, SDK, Systems, Safety, and Customer Engineering teams.
- Act as an executive technical voice in customer engagements, escalations, and roadmap discussions.
- Translate complex technical topics into clear, actionable insights for senior leadership.
Safety, Quality & Compliance
- Ensure AI systems are designed with safetyfirst principles, including alignment with ISO 26262, ASPICE, and functionalsafety expectations.
- Establish robust validation, observability, and governance frameworks for AI behavior in production.
- Minimum Qualifications
- 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.
- Handson experience with ML frameworks (PyTorch, TensorFlow, ONNX) and edge/embedded deployment.
- Proven ability to deliver largescale, 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 realtime constraints.
- Familiarity with QNNlike runtimes, inference SDKs, and heterogeneous acceleration.
- Strong customerfacing experience, including executivelevel 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
Minimum Qualifications
- 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.
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 [Confidential Information] 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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