Syncious
Website:
syncious.com
Job details:
Company Description Syncious Systems Private Limited is a TUV Nord ISO/IEC 27001:2013 certified organization that specializes in High-Performance Computing (HPC), AI, and Virtual Desktop Infrastructure management platforms for complex computational workloads on cloud and on-premises environments. Its flagship product, SyncHPC, is a hybrid HPC management platform designed to deploy, manage, and utilize cloud and on-premises HPC resources with enterprise-grade security. SyncHPC enables users to run CAE/CFD applications such as Ansys, LS-DYNA, Abaqus, OpenFOAM, Star-CCM+, Altair, and CONVERGE CFD using existing open-source or commercial licenses on cloud HPC. SyncVDI, another core offering, is a remote visualization solution that supports CAD/CAE workloads across public or private cloud and workstation pools. These solutions help R&D teams optimize high-end workstation usage, manage costs, and improve overall efficiency and productivity.
Role Description The Senior HPC Engineer role at Syncious is a full-time, hybrid position based in the Pune Division, with flexibility for partial work from home. The person in this role will design, implement, and optimize HPC infrastructures across cloud and on-premises environments, focusing on performance, scalability, and security. Daily responsibilities include configuring and tuning compute clusters, storage, and networking; integrating CAE/CFD and other scientific applications; and troubleshooting performance and reliability issues. The Senior HPC Engineer will collaborate with software development and DevOps teams to enhance SyncHPC and SyncVDI platforms, automate deployment workflows, and improve resource utilization. The role also involves supporting customers and internal stakeholders with technical guidance, performance benchmarking, capacity planning, and documentation related to HPC environments.
Qualifications
- Strong foundation in Computer Science, including operating systems, networking, algorithms, and data structures.
- Experience in Infrastructure management/support in High Performance Computing (HPC) and AI.
- Hands-on experience with HPC/AI environments, including job schedulers (e.g., Slurm, OpenPBS), cluster management tools, and performance tuning.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-code or automation tools (e.g., Terraform, Ansible).
- Knowledge of CAE/CFD or other scientific computing applications and their performance characteristics on HPC systems is highly beneficial.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
- Strong analytical and problem-solving skills
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