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Partners In Performance Jobs in Toronto, ON (NOW HIRING)

Partner closely with business teams to understand changes in rates, underwriting, performance, and strategy * Present insights to leadership and collaborate across the organization to operationalize ...

Performance Manager

Toronto, ON · On-site

CA$65K - CA$75K/yr

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca ... Onboard new dealer partners to the Instant Cash Offer program, ensuring a smooth and successful ...

Partner closely with business teams to understand changes in rates, underwriting, performance, and strategy * Present insights to leadership and collaborate across the organization to operationalize ...

In 2024, Home Trust Company, Home Bank and Oaken Financial became part of the Fairstone Bank family ... The Performance Management Specialist will serve as the finance business partner for DIRECT LENDING ...

... partner with product, creative, and martech to identify friction in the conversion path and ... You'll own the health and performance of our product data feeds across Google Shopping, Meta ...

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Partners In Performance information

What is the difference between Partners In Performance vs Business Analyst?

AspectPartners In PerformanceBusiness Analyst
Required CredentialsIndustry-specific certifications, project management experienceBachelor's degree in Business, IT, or related field; often certifications like CBAP or PMI-PBA
Work EnvironmentConsulting firms, client sites, project-basedCorporate offices, project teams, client organizations
Employer & Industry UsageConsulting firms, performance improvement sectorsBusinesses across industries, IT, finance, healthcare
Search & Comparison IntentPerformance improvement, consulting rolesBusiness process analysis, requirements gathering

Partners In Performance typically focuses on consulting and performance improvement projects, often requiring industry-specific certifications and client-facing work. Business Analysts primarily analyze business needs, gather requirements, and support project development within organizations. While both roles involve process improvement, Partners In Performance emphasizes consulting expertise, whereas Business Analysts focus on internal business analysis and solution implementation.

Performance & Reliability Engineer

Performance & Reliability Engineer

Cerebras Systems

Toronto, ON • On-site

Other

Posted 9 days ago


Job description

About The Role
Join Cerebras as a Performance & Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras' breakthrough hardware.
 
Responsibilities
  • Characterize and enhance the performance and reliability of advanced ML hardware/software systems, with emphasis on reducing power and thermal fluctuations.
  • Analyze ML workloads, software kernels, and hardware architecture for power and performance impacts, and synthesize high-level insights across these layers.
  • Develop creative software solutions to improve reliability and performance, collaborating cross-functionally to deploy these solutions in production.
  • Influence the design of Cerebras' next-generation AI architecture and software stack through rigorous workload analysis and computational efficiency optimization.
  • Partner with ML engineers, researchers, and reliability specialists to understand model behavior and drive system-level improvements from a software perspective.
  • Collaborate with teams in architecture, silicon, and research to advance our computational platforms and influence future system designs.
Skills & Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field.
  • 3+ years of relevant experience in performance engineering, reliability, computer architecture, and/or software design.
  • Proficiency in Python or other scripting languages.
  • Experience with C/C++ and assembly programming.
  • Demonstrated expertise with system-level performance and reliability optimization.
  • Strong verbal and written communication skills.
  • Nice to have: Hands-on experience with ML models, ML frameworks, and collective communication.
  • Nice to have: Understanding of thermal management principles and power delivery for advanced semiconductors.