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Machine learning engineer • saanich bc
- Promoted
Senior Software Engineer (Architecture)
Targeted TalentVictoria, BC, Canada- Promoted
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RCOA- Regent Christian Online AcademyVictoria, Capital Regional District, CA- Bradford West Gwillimbury, ON (from $ 92,625 to $ 296,000 year)
- Quinte West, ON (from $ 92,625 to $ 296,000 year)
- Ottawa, ON (from $ 119,591 to $ 271,835 year)
- Victoria, BC (from $ 38,805 to $ 250,000 year)
- Thunder Bay, ON (from $ 142,500 to $ 238,700 year)
- Owen Sound, ON (from $ 128,524 to $ 233,400 year)
- North Bay, ON (from $ 140,000 to $ 228,800 year)
- Prince George, BC (from $ 121,250 to $ 227,300 year)
- Prince Edward, ON (from $ 134,611 to $ 211,725 year)
- Greater Sudbury, ON (from $ 122,925 to $ 200,000 year)
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Senior Software Engineer (Architecture)
Targeted TalentVictoria, BC, Canada- Full-time
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 :
Perks :
Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.