The Pittsburgh Supercomputing Center (PSC) is a joint effort of Carnegie Mellon University and the University of Pittsburgh. Established in 1986, PSC is supported by several federal agencies, the Commonwealth of Pennsylvania and private industry. PSC provides university, government and industrial researchers with access to several of the most powerful systems for high-performance computing, communications and data storage available to scientists, engineers and scholars nationwide for unclassified research. PSC advances the state of the art in high-performance computing, communications and data analytics and offers a flexible environment for solving the largest and most challenging problems in computational science.
As a Senior Computational Scientist, you will have the opportunity to support research applications, solving problems with internal and external users as they accomplish discovery on modern high-performance computing platforms. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will provide in-depth consultation and may lead a team to help address users' research and support questions. Your services may also include proposal development and technical training to ensure that allocations are managed, and outputs are working properly. You will ensure customer satisfaction by advising customers on configurations, practices and policies that may favorably impact software performance.
Core responsibilities include:
- Collaborate with research teams in developing, installing, documenting, porting, debugging and optimizing application-level research software in your field of scientific expertise.
- Provide solutions to issues reported by PSCโs community of users, referred to you by the PSC help desk because of your expertise, in a timely manner.
- Learn and keep current with high performance computing technologies.
Flexibility, excellence, and passion are vital qualities within PSC. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications:
- Bachelor's degree or equivalent, with strong scientific computing emphasis.
- 5 to 8 yearsโ experience with the following: Building, installing, maintaining, debugging and troubleshooting application-level software in UNIX systems, using shell scripting and batch schedulers such as Slurm. Managing competing requirements in a diverse stakeholder population, exhibiting excellent interpersonal, oral and written communication skills with dedication to diversity, equity and inclusion.
Preferred Qualifications:
- Ph.D. degree.
- Expertise in computational condensed matter physics, quantum chemistry, or computational materials science, including ab initio electronic structure calculations.
- Experience with parallel programming models (e.g., use of OpenMP, MPI, CUDA).
- Experience with software installation and management frameworks such as Modules, LMOD, Spack etc.
- Familiarity with machine learning and data analytics.
- Familiarity with current approaches to quantum computing.
Requirements:
- Successful background check
Additional Information:
- Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
- Work Posture: This position is operating on a hybrid schedule, with an on-campus/in office presence 3 days a week.
- This is a full**-**time (37.5 hours/week), non-exempt position
- Travel Requirements: You should be able to travel both domestically and internationally and be willing to work outside of normal business hours as needed.
- Funding: This is a grant-funded position.
Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.
Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance.
Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!
For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; itโs about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Researchers
Position Type
Staff โ Regular
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
- Please visit โWhy Carnegie Mellonโ to learn more about becoming part of an institution inspiring innovations that change the world.
- Click here to view a listing of employee benefits
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
- Statement of Assurance
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Carnegie Mellon University
Carnegie Mellon University is a leading research institution with a focus on applied artificial intelligence and engineering questions related to AI technologies and systems.
We learn, we make, we solve, we create, and we give it to the world.
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