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Staff Engineer -Automotive Embedded Software Applications – AI/ML
Bangalore, Karnataka, India
·
On-site
·
Full-time
·
3w ago
Company:
Qualcomm India Private Limited:
Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
Summary:
Qualcomm is recruiting a Customer Engineer for Software Applications Engineering to collaborate with application vendors in integrating advanced AI models tailored for Qualcomm chipsets' NPU engines. Candidates must possess a bachelor’s degree in engineering or a related field; a master’s degree is preferred alongside experience in embedded platforms, proficiency with machine learning frameworks such as Py Torch or Tensor Flow, and strong programming capabilities in C/C++ and Python. Key responsibilities include deploying computer vision and language models on edge AI platforms, developing comprehensive inference applications, supporting internal teams, and driving innovation in AI tools and technologies, including GenAI model fine-tuning and optimization of AI workloads for customer platforms.
Minimum Qualifications:
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience. OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. -
2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
-
1+ year of experience with debugging techniques.
Job Title:
Automotive Embedded Software Applications Engineer – AI/ML
Exp: 9 to 12 yr
General Summary:
Qualcomm stands at the forefront of technological innovation, continually advancing next-generation experiences and championing digital transformation toward a smarter, more connected future. As a Qualcomm Customer Engineer, you will work collaboratively with leading application vendors to integrate sophisticated AI models that operate efficiently on Qualcomm chipset NPU engines. This role provides exposure to Qualcomm’s state-of-the-art CPU, GPU, and NPU architecture, as well as industry-leading ML/AI acceleration capabilities.
Minimum Qualifications:
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related discipline.
Preferred Qualifications:
-
Master’s degree in Science, Engineering, AI/ML or a relevant field
-
Over 3+ years of experience working with embedded platforms
-
Experience with Py Torch, Tensor Flow, or other machine learning frameworks
-
Proficiency in ML/MLOps for AI application development and deployment
-
Advanced programming skills in C/C++ and Python
-
Familiarity with supervised and unsupervised machine learning, computer vision, NLP, and LLM architectures
-
Demonstrated analytical capability
-
Quick learner with a robust technical background, strong problem-solving ability, and customer focus
-
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
Principal Duties and Responsibilities:
-
Deploy and optimize computer vision models, LLMs, VLMs, and VLAs on ADAS and Cockpit Edge AI platforms
-
Design and implement end-to-end inference applications for customer platforms
-
Coordinate project planning and ensure timely, high-quality deliverables
-
Train and support internal teams in resolving technical issues
-
Participate in cross-departmental initiatives to address complex technical challenges
-
Contribute to continuous development and innovation in tools, technologies, and user experiences
-
Assist in the design, development, and integration of Gen
AI and LLM applications:
-
Support implementation of fine-tuning and distillation techniques
-
Conduct ML model benchmarking and functional analysis to inform requirements and specifications
-
Facilitate customer engagement by optimizing and deploying AI models and workloads
-
Collaborate with team members and other groups to complete project tasks, verify system functionality, and implement new features
-
Generate innovative ideas for products or feature areas
-
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 disability-accomodations@qualcomm.com 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.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$215,000
total / year
Base
$170,000
Stock
$30,000
Bonus
$15,000
$182,750
$247,250
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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