Bengaluru Karnataka Director ai ml engineering Jobs – 105 Open Jobs Today

Director Engineering - AI software stack
Qualcomm —Bengaluru, Karnataka
- Management
- Doctoral degree
- Computer Science
Data Engineering Professional II
Takeda Pharmaceutical —Bengaluru, Karnataka
- Full-time
- Computer Science
- SQL
- AWS
Director, Silicon Physical Design CAD
Microsoft —Bengaluru, Karnataka
- Full-time
- Azure
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- Master's degree
Applied AI ML Director - Head of AI & Data Science
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
4d
Senior Product Manager, AI
DocuSign —Bengaluru, Karnataka
- Hybrid work
- Data analysis skills
- JavaScript
- Product management
Sales Director – IT, Plant & Product Engineering - US & EU
INOPTRA DIGITAL —Bengaluru, Karnataka
- Sales
- Business development
- Presentation skills
Quick apply
GN-I&E-Automotive-AOE-AI Platform-Senior Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Master's degree
- AI
- MBA
14d
Sr. Director & Head of Architecture
G-P —Bengaluru, Karnataka
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
- Health insurance
Quick apply
S&C Global Network - AI - Resources - Manager Data Science
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
ML Ops and Data Engineer
PinnacleU —HSR Layout, Bengaluru, Karnataka
- ₹34,50,000 - ₹35,00,000 a year
- Full-time
- DevOps
- Master's degree
- APIs
Quick apply
12d
Director - Artificial Intelligence
iSOCRATES —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Master's degree
Quick apply
Data Product Manager - Payment Optimization
DocuSign —Bengaluru, Karnataka
- Hybrid work
- Computer Science
- Engineering
- Data analysis skills
RIS Google Lead Architect Associate Director
Accenture —Bengaluru, Karnataka
- Full-time
- Computer Science
- Sales
- Java
Team Leader - Data Analytics
WSP —Bengaluru, Karnataka
- Hybrid work
- Microsoft Excel
- Azure
- Oracle
Technology Operations Engineer
Lowe's —Bengaluru, Karnataka
- Full-time
- Oracle
- Computer Science
- Windows
13d
Senior Director, Information Security
Zillow.com —Bengaluru, Karnataka
- Full-time
- AWS
- Presentation skills
- Scripting
Business Development Manager – AI & Cloud Solutions (US Market)
Aivar Innovations —Bengaluru, Karnataka
- Full-time
- Remote
- Sales
- Salesforce
- English
Quick apply
Associate Director - Cloud-Based Data Science - Bangalore
WNS Global Services —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
Senior Solutions Architect, Automotive & Manufacturing
AWS India - Karnataka —Bengaluru, Karnataka
- Full-time
- Computer Science
- AWS
- Bachelor's degree
Director, Data Science & Generative AI
Securonix —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
Quick apply

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Director Engineering - AI software stack

Qualcomm -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

TensorFlow
Management
Doctoral degree
Computer Science
PyTorch
Engineering
System design
Information Systems
M.Eng
Java
Master's degree
C++
C
Bachelor's degree
SDKs
Linux
AI
Python
Software architecture
Design patterns

Full job description

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 Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

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 real‑world, safety‑critical deployments.
Influence platform and silicon‑level decisions by translating AI workload requirements into hardware and software capabilities.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

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

Execution & Delivery

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).

Team & Organizational Leadership

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.

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.
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

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 [email protected] 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).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers .

Apply Now

Refine Your Search

director ai ml engineering jobs in bengaluru karnataka

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