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Job Opportunities in HPC

Find jobs in HPC from employers who are keen to improve equality and diversity in the workplace

OPEN POSITIONS

Associate Laboratory Director, Scientific Computing and Energy Analysis (SCEA)

Scientific Computing and Energy Analysis (SCEA), NREL

The Associate Laboratory Director (ALD) for the Scientific Computing and Energy Analysis (SCEA) is responsible for implementing and overseeing the vision and strategy for NREL’s computational science and energy analysis capabilities. The ALD is responsible for managing two research centers — the Computational Science Center and the Strategic Energy Analysis Center as well as the Joint Institute for Strategic Energy Analysis.

The ALD is responsible for stewarding NREL’s capabilities in high-performance computing, computational science, applied mathematics, visualization, data, and modeling of systems, technologies, policies, resources and markets. As a member of the executive leadership team, this position reports directly to the NREL laboratory director. The ALD works with leadership to set the strategic direction for the laboratory, prioritize and oversee strategic investments, establish institutional policy, ensure institutional performance meets or exceeds the expectations of the Department of Energy and assesses and mitigates enterprise risks. This position also works directly with counterparts at DOE, collaborators at other research institutions and with partners at a wide range of government and non-governmental agencies and commercial companies. The position has a high degree of autonomy for making decisions and requires both technical knowledge and managerial skills and ensures compliance with state and federal regulations.

Salary: Competitive based on experience
Closing Date: November 18 2017
Location: Golden, Colorado

Full details area available here, Job Req #R2501.

If you have questions about this position please contact Pam Missett for more information.

Scientific Applications Analyst

SciNet HPC Consortium, University of Toronto

The Scientific Applications Analyst provides senior IT services and training in parallel programming, data science applications, and scientific computing workflows for the SciNet High Performance Computing (HPC) consortium which serves researchers at the University of Toronto including faculty, postdoctoral fellows and graduate students in all disciplines and fields (e.g. science and engineering, medicine, finance, languages, etc.). The incumbent is involved in massively-parallel computing (single jobs that make use of up to 40,000 cores) and data analytics and machine learning on large data sets (100TB and up). S/he works with researchers and research teams to plan, develop, install and optimize the initial SciNet systems for various research programs and provides technical consultation to researchers on their system needs for research operations. S/he also takes part in delivering and developing SciNet’s training and education program. SciNet operates large High Performance Computing (HPC) systems, and acquires the largest HPC cluster in Canada by the end of 2017. SciNet provides HPC resources and support to researchers at the University of Toronto, the affiliated research hospitals, and other Canadian universities.

Salary: CAD$94,672 with an annual step progression to a maximum of CAD$121,069. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Closing Date: Oct 24, 2017, 11:59:00 PM EST
Location: Toronto, Ontario, Canada

Full details area available here.

If you have questions about this position please contact Daniel Gruner (SciNet CTO) for more information.

Computational Scientist: High Performance Computing

Rolls-Royce plc.

The Computational Sciences Group is responsible for Rolls-Royces’ High Performance Computing (HPC) strategy. A large part of our role is working closely with application developers to scale and improve the computational performance of their codes. This includes all aspects of parallelisation, e.g. compute, data, file input/output. We have close working relationships with experts in academia and industry and have an active programme looking at new and emerging computing technologies and practices. Our ambition is to scale our codes to Petascale and Exascale.

This is an exciting opportunity to join a growing team. We will be at the centre of our next generation of simulation capabilities, making this an exciting time to join us.

Salary: Competitive based on experience
Closing Date: October 25, 2017
Location: Derby, UK

Full details area available here.

If you have questions about this position please contact Dr Leigh Lapworth for more information.

Systems Administrator

Achray Inc

Achray has an opening for a Systems Administrator on a 2 year contract, leveraging HPC technology to facilitate a next-generation movie experience.   This project is for a single, high profile motion picture, and will involve travel both in the USA and worldwide.   This team member will be responsible for providing support to a very small team, focusing on using parallel filesystems and other technologies to rethink, streamline, and optimize workflows.

Salary: $100,000 USD + Dependent on experience and skills
Closing Date: October 30, 2017
Location: New York City, NY, USA (with extensive travel)

Full details area available here.

If you have questions about this position please contact Ben Gervais for more information.

Postdoc Position in Cloud Computing

University of Innsbruck
The University of Innsbruck, Austria offers a postdoctoral research and teaching position in Cloud Computing which starts on March 2018 and ends by Feb. 2019 with the opportunity for extension.

Candidates with good background in distributed and parallel computing and interested in one of the following research areas are encouraged to apply:

  • resource management for Clouds, Edge and Fog computing infrastructures
  • discovery, provisioning, orchestration and usage of cloud services
  • virtualization technologies
  • scheduling and optimization
  • application development environments
  • resilient runtime environments
  • energy efficiency, security and data sensitivity
  • Quality of Service (QoS) provisioning
  • Service Level Agreements (SLA) and business models

Applicants must hold a doctoral degree in computer science or related field. Applicants must be willing to teach courses in distributed systems and programming both in bachelor and master degree programs.

Salary: Dependent on experience
Closing Date: December 31, 2017
Location: Innsbruck, Austria

Full details area available here.

If you have questions about this position please contact Thomas Fahringer for more information.

Postdoc Position in High Performance Computing

University of Innsbruck
You are enthusiastic about developing and investigating innovative research ideas and systems within the discipline of high performance and extreme scale parallel computing. You have a PhD or equivalent degree in computer science with excellent performance? You are a highly skilled C++ programmer? You have a strong background in compilers or runtime systems? You stand out from your peers because of strong commitment and independent work? You are team oriented and communicative? Note that the working language and the research program is held in English only. There is no need to learn German for this position. This position also requires to teach for 4 hours per week in English.

The successful candidates will join as fully funded Postdoc researchers a vibrant research team investigating novel compiler and runtime optimization techniques for parallel C++ programs to be executed on extreme scale supercomputers. The research of this Postdoc position will be conducted as part of the Insieme source-to-source research compiler (http://www.insieme-compiler.org). Our researchers are given the opportunity to program some of the fastest supercomputers in Europe and gain interdisciplinary expertise by participating in national and international (EU funded H2020) projects.

Salary: Dependent on experience
Closing Date: December 31, 2017
Location: Innsbruck, Austria

Full details area available here.

If you have questions about this position please contact Thomas Fahringer for more information.

Associate Staff Scientist

SLAC National Accelerator Laboratory, Stanford University, Palo Alto, CA, USA
In conjunction with Stanford’s School of Engineering, SLAC is forming a computer science research group to help address next-generation computing challenges. SLAC is seeking scientists to formulate and carry out world-class computer science research in areas of relevance to SLAC, including but not limited to systems software for exascale computing (data management, programming models, operating and runtime systems, distributed systems, system architecture and storage) and data analytics (algorithms and tools for machine learning and very large scale data analysis). The Scientist will work as part of an interdisciplinary team of researchers and faculty, specifically collaborating with members of the computer science research group, other SLAC scientists and faculty and students in Stanford’s Computer Science Department as well as other departments at Stanford.

Salary: Dependant on experience
Closing Date: Open until filled
Location: California, USA

Full details area available here.
If you have questions about this position please contact Alan Heirich aheirich@stanford.edu for more information.

High Level Support Team (6 vacancies)

Barcelona Supercomputing Center, Spain
In order for the European scientific communities to fully benefit from the performance of leadership-class Tier-0 systems provided by the PRACE 2 Hosting Members, it is mandatory to provide them support through high-level teams in terms of code enabling and optimization of scientific applications. The following vacancy will be part of the BSC High Level Support Team providing 2nd and 3rd level support to the full PRACE tier-0 community. The team will be composed of 6 people and will comprise different HPC expertise providing specific skills in different domain science. The HLST will work on transverse actions including extreme scalability of select European scientific applications and tools towards Exascale, Data Analytics and Machine learning as well as code refactoring.

Closing Date: 31 December 2017
Location: Barcelona, Spain

Click on this link to apply or contact Emanuele Zanchi, Human Resources Tel. +34- 934137718, emanuele.zanchi@bsc.es for more information.

 

 

 

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