Design, deploy, optimize, and manage high-performance computing (HPC) clusters and infrastructure. Tune systems for performance, collaborate with research/engineering teams, and provide technical support for scalable, reliable computational workloads.
In this role, you will impact the efficiency and capability of Honeywell’s computational resources, enabling faster data processing and analysis that drive innovation and operational excellence.
At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture
ResponsibilitiesKEY RESPONSIBILITIES
- Design, deploy, and manage high-performance computing clusters and related infrastructure to support complex workloads.
- Optimize HPC systems for performance, scalability, and reliability through tuning and configuration management.
- Collaborate with research and engineering teams to understand computational requirements and provide technical support.
YOU MUST HAVE
- Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
- 3+ years of experience working with HPC systems, cluster management, and parallel computing environments
- Strong knowledge of HPC architectures, job schedulers (e.g., Slurm, PBS), and cluster management tools like HPCM
- Experience with Linux/Unix operating systems, scripting languages such as Python or Bash, and performance tuning
- Strong Linux administration skills
- Storage experience managing HPC environments.
- Familiarity with storage systems and networking technologies relevant to HPC environments
WE VALUE
- Advanced degrees in Computer Science, Engineering, or related fields
- Experience with cloud-based HPC solutions and hybrid cloud architectures
- Knowledge of containerization technologies like Docker and Kubernetes
- Strong problem-solving skills and ability to work collaboratively in cross-functional teams
- Experience with parallel programming models such as MPI or OpenMP
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