At a Glance
- Tasks: Develop and enhance machine learning compilers and algorithms for high-performance applications.
- Company: Join Qualcomm, a leader in tech innovation and digital transformation.
- Benefits: Competitive salary, bonuses, RSU grants, and a comprehensive benefits package.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make an impact in cutting-edge ML technology and collaborate with diverse teams.
- Qualifications: Bachelor's degree in Computer Science or related field; strong algorithm and performance analysis skills.
The predicted salary is between 80000 - 154800 $ per year.
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 Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IoT products through machine learning hardware and software.
Purpose: As a member of Qualcomm’s ML Systems Team, you will participate in two activities:
- Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW
- Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings
Key Responsibilities:
- Contributing to the development and evolution of ML/AI compilers within Qualcomm
- Defining and implementing algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW
- Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows.
- Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
- Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms
- Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
- Pre-Silicon prediction of performance for various ML algorithms
- Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle framework, compute and system memory-related bottlenecks
Successful applications will work in cross-site, cross-functional teams.
Requirements:
- Demonstrated ability to learn, think and adapt in fast changing environment
- Detail-oriented with strong problem-solving, analytical and debugging skills
- Strong communication skills (written and verbal)
- Strong background in algorithm development and performance analysis is essential
The following experience would be significant assets:
- Strong object-oriented design principles
- Strong knowledge of C++
- Strong knowledge of Python
- Experience in compiler design and development is an asset
- Knowledge of network model formats/platforms (eg. Pytorch, ONNX) is a strong asset.
- Knowledge of software development processes (revision control, CD/CI, etc.)
- Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
- On-silicon debug skills of high-performance compute algorithms
- Knowledge of algorithms and data structures
- Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
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.
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.
Pay range and Other Compensation & Benefits:
$104,800.00 - $154,800.00. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.
Machine Learning Framework, Compiler & Performance Engineer – Markham employer: QUALCOMM, Inc.
Qualcomm Canada ULC is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the field of AI and machine learning. Located in a vibrant tech hub, employees benefit from competitive compensation, a comprehensive benefits package, and ample opportunities for professional growth and development. Join a team that not only values your contributions but also supports your journey in shaping the future of connected devices.