Technical Expert

2 months ago

Waterloo, Canada Software International Full time

**Software International (SI)** supplies technical talent to Fortune 100/500/1000 companies in the USA and Canada.

Our IOT global client is currently seeking to staff a Technical Expert - Data Center Network.

**Role**: Technical Expert - Data Center Network

**Location**:Waterloo, ON

**Type**:Onsite

Pay: Based on Experience

Duration: FULL TIME

Job description

**Our team has an immediate permanent opening for a Technical Expert**

**Responsibilities**:

- Responsible for the technical planning in the computing network and cloud network domains. Focusing on the innovation in the computing, cloud, or storage domains, especially on the high-performance data exchange, and network-computing-storage codesign.
- Responsible for planning the technical routes and incubating breaking-through innovations that help the company build technical competitiveness.
- Responsible for industrial and academic technological insights, figuring out the innovation opportunity, promoting the acceptance of innovation technologies within the company, and promoting the company's technology investment and layout.
- Collaborate with the experts and HiSilicon/computing/cloud/storage product lines to promote the implementation of innovative technologies into commercial products.

Job requirements

**What youll bring to the team**:

- PhD in Computer Science/Electrical Engineering/Software Engineering or related field
- Experience in designing, developing, and researching cloud network architecture, computer architecture, or high-performance computing platforms.
- Understanding of computing/cloud systems and communication networks and experience in leading large-scale R&D projects in related fields
- Understanding of operating systems, communication protocol stacks, and hardware interconnection architecture
- Familiar with the latest progress in the industry and academia; Strong curiosity, insight ability, and sense of direction about new technologies; Good at exploring large-granularity innovation opportunities
- Understanding of the computing architecture, AI, cloud computing, storage, or related technical directions. Familiar with one or two sub-domains above, and have cross-domain background knowledge
- Theoretical knowledge about one of the accelerators, such as NPU, GPU, or DPU as an asset

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