Thanks for your interest in the Senior HPC Cloud Engineer position.
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To be successful in this position, you will need:
- Bachelor's degree and ten years of increasingly technical work experience or a combination of education and relevant experience.
- Deep understanding of information technology approaches, applications (which may include scientific applications), tools, and methodologies, as well as a broad background in a variety of technology platforms.
- Knowledge of architecture and interrelationships (technical and functional).
- Ability to combine information technologies to create solutions for complex problems.
- Ability to work effectively in a team environment and lead cross-functional teams.
In addition, our preferred qualifications include:
- Collaboration and Communication Skills: Strong interpersonal skills to work effectively with cross-functional teams including faculty, researchers, developers and other team members and stakeholders, to understand their needs and challenges, and translate complex functional and technical requirements into detailed architecture, design and high performing solutions.
- Cloud Architecture Design: Expertise in designing scalable and reliable cloud architectures tailored for HPC workloads, considering factors like compute, storage, networking, security, performance and cost.
- Understanding of HPC Workloads: Deep knowledge of various HPC workloads, applications, and their requirements, including understanding parallel processing, data-intensive tasks, and performance benchmarks.
- High-Performance Computing Frameworks: Proficiency with HPC frameworks and programming models such as MPI, OpenMP, and CUDA, as well as understanding how to implement them in a cloud environment. Expertise in utilizing Google's Compute Engine to provision and manage GPU and TPU resources for demanding computational tasks, including training machine learning models.
- Performance Optimization: Skills in analyzing and tuning the performance of cloud-based HPC applications, including profiling tools and techniques to identify bottlenecks, including I/O.
- Data Management Solutions: Knowledge of storage solutions suitable for HPC including distributed filesystems and an emphasis on object storage systems and data lifecycle management.
- Infrastructure as Code (IaC): Experience with IaC tools (e.g., Terraform, CloudFormation and Help Charts) to automate the deployment and management of HPC resources efficiently.
- Security Architecture: Understanding security protocols and best practices for securing HPC environments in the cloud, including IAM, Service Accounts, network security (VPN), and data encryption.
- Containerization and Orchestration: Proficiency in using container technologies such as Docker, Singularity and Kubernetes for deploying and scaling HPC applications, along with orchestration practices.
- Experience orchestrating automated solution deployment from the OS (Linux) to the application stack, using tools such as Kubernetes, Docker, Jupyter, Open On Demand, airflow, data flow, cloud composer and others
- Capacity Planning and Cost Management: Skills in planning resource capacity to optimize performance and cost, ensuring effective budget management for HPC resources in the cloud.
- Compliance and Governance: Knowledge of compliance standards relevant to HPC workloads (e.g., HIPAA, GDPR) and implementing governance frameworks to ensure adherence.
The expected pay range for this position is $203,499 to $231,391 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. 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 (https://cardinalatwork.stanford.edu/benefits-rewards) 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.
How to Apply
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Why Stanford is for You
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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.