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Summer Machine Learning Hardware Jobs in Toronto, ON

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

  • Dental

  • Vision

  • PTO

We were part of Y Combinator (Summer 2021) and raised a $2M seed round shortly after. About the ... What You'll Do * Design, develop, and deploy end-to-end machine learning pipelines, ensuring ...

Who We Are We are tech industry veterans in software, hardware, and design who are pooling our ... We are solving real-world problems leveraging robotics, machine learning and computer vision, among ...

Develop and optimize software for AI and machine learning workloads running on specialized hardware. * Design and implement optimization algorithms for ML operators and neural network layers.

... in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of ...

... in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of ...

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Summer Machine Learning Hardware information

What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?

AspectSummer Machine Learning HardwareSummer Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programmingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHardware labs, R&D centers, tech companies focusing on AI hardwareOffice settings, research labs, tech companies analyzing data and building models
Industry UsageAI hardware development, embedded systems, hardware acceleration for MLData analysis, predictive modeling, AI application development

Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.

Machine Learning Framework, Compiler & Performance Engineer

Qualcomm

Markham, ON • On-site

$100 - $149/hr

Other

Posted 12 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies


Job description

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning 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 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. Replacement Position

Job Purpose
  • 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.

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.

Pay range and Other Compensation & Benefits

$99,500.00 - $149,300.00

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.

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What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985