Software Applications Engineer for AI/ML

Qualcomm; Markham; On-site; CAD 118,000 - 179,000; Full time

Job summary

A leading technology firm in Canada is seeking a Qualcomm Customer Engineer to work on integrating advanced AI models into Qualcomm chipsets. The role requires expertise in embedded software development and collaboration with application vendors. Candidates should have a Bachelor's degree in a related field and a strong background in C/C++, Python, and debugging techniques. This position offers a competitive salary ranging from $88,000 to $132,000, along with comprehensive benefits.

Benefits

Discretionary bonus program

Potential RSU grants

Comprehensive benefits package

Qualifications

• 2+ years of experience in software applications engineering or related.
• Experience with programming languages including C, C++, and Python.
• Knowledge of machine learning and deep learning fundamentals.

Responsibilities

• Responsible for deploying CV models in ADAS and Cockpit Edge platforms.
• Develop applications for inference deployment on customer platforms.
• Assist in the design and implementation of Gen AI applications.

Skills

Embedded software development

C/C++ proficiency

Python scripting

Communication skills

Collaboration mindset

Education

Bachelor's degree in Engineering or related field

Master's degree in Engineering or related field (preferred)

PhD in Engineering or related field (preferred)

Tools

Debugging tools (JTAG, ftrace, GDB)

OpenCV

TensorFlow

PyTorch

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

As a Qualcomm Customer Engineer, you will collaborate with leading application vendors to integrate advanced AI models, ensuring they operate efficiently on powerful NPU engines built into Qualcomm chipsets. This position provides exposure to Qualcomm’s CPU, GPU and NPU features, and ML/AI acceleration used in the industry.

Must have experience:

• Strong experience in embedded software development, integration, optimization and debugging
• Proficiency in C/C++ and modern scripting languages such as Python

Preferred qualifications:

• 2+ years of experience working with embedded platforms
• 2+ years experience with high level OS (QNX, Linux, or Android)
• Experience with ML applications in Automotive Infotainment or Autonomous Driving
• Experience with dedicated ML accelerators or hardware blocks for embedded AI, inference optimization and edge deployment
• Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2
• Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems, tuning GenAI models or reinforcement learning
• Experience with ML/MLOps pipelines for AI application development and deployment
• Solid understanding of neural network operators, linear algebra, quantization and ML/DL fundamentals
• Experience with debugging tools (JTAG, ftrace, GDB)
• Strong communication, collaboration, and customer focused mindset
• Ability to manage tasks, timelines, and drive cross-functional execution
• Ability to quickly learn new technologies and perform deep technical analysis

Principal Duties and Responsibilities:

• Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge platforms and support customers for successful commercialization
• Develop end to end applications for inference deployment on customer platforms
• Plan with team lead, take ownership of on-time delivery and quality
• Train and support internal teams in issue resolution
• Participate in cross department initiatives & activities to solve technical problems with cross-functional team
• Contribute towards the continuous development & innovation of tools, technology and user experience
• Assist in the design, development, and implementation of Gen AI and LLM applications
• Contribute towards implementing fine tuning and distillation techniques
• Perform ML model benchmarking and functional analysis to drive requirements and specifications
• Support customer engagement with AI model/workload optimization and deployment
• Collaborates with own team and other teams to complete project work
• Develops new and innovative ideas for a product or feature area
• Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of software applications engineering, software development experience, or related work experience
• Master's degree in Engineering, Information Systems, Computer Science, or related field with 1+ year of experience
• PhD in Engineering, Information Systems, Computer Science, or related field
• 1+ year of any combination of academic and/or work experience with programming languages such as C, C++, Java, Python
• 1+ year of any combination of academic and/or work experience with debugging techniques

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including 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.

Pay range and Other Compensation & Benefits:

$88,000.00 - $132,000.00

The above pay scale reflects the broad, minimum to maximum pay for this job. Salary is only one component of total compensation at Qualcomm, which also includes a discretionary bonus program and potential RSU grants. Our benefits package is designed to support success at work, at home, and at play. Your recruiter will discuss all that Qualcomm has to offer.

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