Senior Software Engineer (Architecture)

Targeted Talent; Abbotsford, Victoria, Quebec; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Alberta is seeking a Software Architect to lead software efforts for their AI inference chip. The role involves designing software interacting with the chip, optimizing algorithms for performance, and collaborating with engineers. Ideal candidates will have 10+ years of experience in software development for highly parallel architectures along with strong skills in C/C++ and Python. The company offers excellent benefits, including 20 vacation days and stock options.

Benefits

20 vacation days

Strong health and extended health benefits

Unlimited sick days

Stock options

Qualifications

• 10+ years of experience developing software for highly parallel architectures.
• Experience optimizing algorithms for machine learning accelerators.
• Excellent soft skills and ability to influence without authority.

Responsibilities

• Advance compiler and runtime technology for AI workloads.
• Design new software and hardware AI solutions.
• Collaborate with engineers on deep learning software development.

Skills

C/C++ development

Python programming

Problem-solving

Understanding of Deep Learning fundamentals

Ability to work in a team

Education

Computer Science or Engineering degree, MS or PhD preferred

Job description

About the Company

Our client is a company building the world's highest-performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.

Responsibilities

• Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
• Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
• Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
• Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
• Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
• Work closely with other software and hardware engineers to develop the next generation of deep learning software.
• Collaborate with architects and hardware engineers to co-design future accelerators.

Preferred Skills & Experience

• 10+ years of experience developing software for a variety of highly parallel architectures.
• Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
• Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
• Understanding of Deep Learning fundamentals.
• Strong development skills in C/C++, Python.
• Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
• Computer Science, Engineering, or related degree; preferably MS or PhD.
• Driven and self-directed.

Perks

• 20 vacation days
• Strong health and extended health benefits
• Unlimited sick days
• Stock options

Please apply even if you don\'t check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.