Research Computing Cloud Engineer

Remote in Stanford, CA, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
USD $150,289.00 - 171,674.00 per year
Fitment

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Job Details

Skills

  • High Performance Computing
  • Machine Learning (ML)
  • Artificial Intelligence
  • Genomics
  • IT Consulting
  • Collaboration
  • Cloud Architecture
  • Optimization
  • Performance Tuning
  • Computer Science
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Microsoft Azure
  • HPC
  • GPU Computing
  • CUDA
  • Stacks Blockchain
  • DevOps
  • Terraform
  • Ansible
  • Docker
  • Kubernetes
  • Orchestration
  • Cloud Computing
  • Regulatory Compliance
  • Privacy
  • HIPAA
  • Research
  • System Integration Testing
  • Writing
  • SAFE
  • Training
  • Policies and Procedures
  • Budget
  • Inventory
  • Recruiting
  • Human Resources
  • Law

Summary

*This is a 3-year fixed term position.

Position Overview
We are seeking a highly skilled Cloud Engineer to help build the next generation of Stanford's research computing environment. This role will work on multiple projects and you will design and implement scalable, secure cloud architectures that may include high-performance computing (HPC) and cutting-edge AI/ML workloads.

Key Responsibilities
  • Research, HPC & AI Infrastructure: Architect cloud-native and hybrid solutions for compute intensive workloads, such as AI training and genomics.
  • Cloud Bursting & Integration: Develop automated pipelines to "burst" workloads from on-premises HPC clusters to the cloud (AWS/Google Cloud Platform/Azure).
  • Technical Consulting, Implementation, and Maintenance: In collaboration with other campus, and cloud vendor based, experts provide guidance on the use of cloud technologies to support research - including cloud architecture, cost optimization, and performance tuning.

Education & Experience
  • Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience.
  • Degree in Computer Science, Engineering, or equivalent professional experience in a large-scale research computing environment or similar is preferred.

Qualifications
  • Cloud Expertise: Advanced experience with major cloud platforms: Google Cloud Platform, AWS or Azure
  • Compute Specialization: Hands-on experience with HPC job schedulers (e.g., Slurm) and/or GPU computing (CUDA, NVIDIA software stacks). Experience with cloud-bursting and/or integration of on-premise systems with cloud environments is a plus.
  • DevOps & Automation: Proficiency in Infrastructure as Code (Terraform, Ansible) and containerization (Docker, Kubernetes).
  • Data Movement: Experience with orchestration of data movement between on premise and cloud environments. Experience with Globus a plus.
  • Security & Compliance: Understanding of data privacy frameworks (HIPAA, CMMC) within a research context.

Physical Requirements*:
  • Constantly perform desk-based computer tasks.
  • Frequently sit, grasp lightly/fine manipulation.
  • Occasionally stand/walk, writing by hand.
  • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.

* Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

Working Conditions:
  • May work extended hours, evenings, and weekends.

Work Standards:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, ;/li>

The expected pay range for this position is $150,289 to $171,674 per annum.

Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX169eef
  • Position Id: 4f7d704ec20a684fcb08796a92d5c4a4
  • Posted 9 hours ago
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