GPU Cloud Systems Architect – Performance & Optimization

Jobtailor; California (MO); On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a senior expert to develop GPU-accelerated cloud computing architectures for large-scale data centers. You will lead performance modeling, data analysis, and visualization to optimize system efficiency across ongoing GPU-driven cloud projects.

The role involves cross-functional collaboration with software, product, and business teams to guide hardware-software interactions in virtualized environments, leveraging extensive research and industry standards.

Qualifications

• Masters or PhD in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience.
• 10 years of relevant work or research experience.
• Excellent mathematical and analytical skills.
• Deep knowledge of computer architecture.
• Strong communication, organizational and interpersonal skills.
• Experience with analytical performance modeling, simulation, profiling and analysis.
• Background in data center/cloud computing design with experience crafting hardware for a virtualized environment.
• Expertise in data analysis and visualization.
• Familiarity with GPU computing and parallel programming models.
• Experience in performance modeling, characterization and optimization of PCIe and IO-centric workloads.

Responsibilities

• Develop GPU-accelerated cloud computing architectures with strong analytical performance modeling and data visualization.
• Collaborate across teams to optimize system performance and efficiency in large-scale data center environments.

Skills

10 years of experience

Analytical skills

Computer architecture

GPU computing

Data center design

Data analysis

Data visualization

Parallel programming models

PCIe/IO optimization

Cost and efficiency analysis

Education

Master's or PhD in CS/EE/CE or equivalent experience

Job description

Jobtailor is seeking a senior expert to develop GPU-accelerated cloud computing architectures for large-scale data centers. You will lead performance modeling, data analysis, and visualization to optimize system efficiency across ongoing GPU-driven cloud projects.

The role involves cross-functional collaboration with software, product, and business teams to guide hardware-software interactions in virtualized environments, leveraging extensive research and industry standards.