HPC Specialist Architect Energy Industry
Job Summary
Key job responsibilities
- Customer Advisor- You will interact closely with our customers Implement and deploy state of the art HPC solutions. You will build prototypes PoCs and explore new solutions.
- Thought Leadership Evangelize AWS HPC services and share best practices through forums such as AWS blogs white-papers reference architectures and public-speaking events such as AWS Summit AWS re:Invent etc.
- Create field enablement materials for the broader SA population to help them understand how to integrate HPC solutions into customer architectures.
- Act as a technical liaison between customers and the AWS product teams to provide customer driven product improvement feedback.
- Generally travel up to 25% could be included and will be discussed at the interview stage.
About the team
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- Bachelors degree in computer science engineering mathematics or equivalent
- Development experience with HPC frameworks for workloads in a domain such as oil and gas automotive / aerospace financial services or pharmaceuticals. Proficient in one or more of the following programming languages: C Python Cuda or Bash.
- Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm Torque Symphony or GridServer) and in deployment tuning and management of HPC technologies in a multi-user environment.
- High level understanding of the underlying infrastructure platform and resources to run HPC services. Ability and willingness to develop AWS technical proficiency within the first 6 months of employment.
- Experience communicating across technical and non-technical audiences including executive level stakeholders or clients. Proven ability to understand HPC user requirements and map these to solutions.
- Masters degree or equivalent in computer science engineering mathematics or equivalent
- Performance optimization experience with computationally intensive applications particularly in oil and gas subsurface applications reservoir simulation and seismic data processing.
- Expertise in parallel programming models for both loosely and tightly coupled applications including proficiency with MPI (OpenMPI MPICH) OpenMP and hybrid parallelization strategies and GPU programming using CUDA OpenACC or similar technologies with demonstrated ability to optimize applications for GPU architectures.
- Significant experience in infrastructure architecture and networking. Experience with infrastructure as code technology such as Cloud Formation CDK or equivalent.
- AWS technical proficiency - have architected and implemented HPC solutions on AWS.
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Required Experience:
IC
Key Skills
About Company
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