Explore software architecture jobs, where you'll design and implement robust systems. These roles demand expertise in various 2 Software Architecture jobs in Canada
Senior Software Engineer
Job Viewed
Job Description
Previous DevOps experience is paramount, and will be required to be successful in this role.
You Have:
- Experience working with AWS services at scale
- 3+ years' Experience coding/developing software in one of the following languages; Python, Go, Javascript or Java 1.8
- Experience with Infrastructure as code tools such as CloudFormation, Terraform or Ansible
Perks:
- Competitive Salary
- Individual performance bonus
- Health and dental benefits
- 3 weeks’ vacation
- Relocation Package
* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.
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Senior Software Engineer (Architecture)
Posted today
Job Viewed
Job Description
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.
Senior Software Engineer (Architecture)
Posted today
Job Viewed
Job Description
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.
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