Senior Software Engineer (Architecture)

Targeted Talent; Victoria; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading AI technology company is seeking an experienced professional to advance AI inference chip technology. Candidates should have over 10 years in software development for parallel architectures and strong skills in C/C++ and Python. This role encourages collaboration with engineers to design innovative AI solutions. The position offers competitive benefits including vacation days, health benefits, 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 hardware acceleration and machine learning.
• Strong development skills in C/C++, Python.

Responsibilities

• Advance state of the art in compiler and runtime technology for AI workloads.
• Research and design new software and hardware AI solutions.
• Evaluate trade-offs of different parallelization strategies.
• Enhance AI software tools to support latest DNNs.
• Collaborate with architects and hardware engineers.

Skills

Software for parallel architectures

Optimizing algorithms for hardware acceleration

Problem-solving skills

Deep Learning fundamentals

Development in C

Development in C++

Development in Python

Collaboration skills

Education

Computer Science, Engineering, or related degree; preferably MS or PhD

Job description

About the Company :

Our client is a company building the world's highest-performance pure digital AI inference chip.

About the Company

Our client is a company building the world's highest-performance pure digital AI inference chip.

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.