HPC Administrator

Job Title : Senior / Engineer HPC / CAE

Location : Chennai Onsite - Hybrid

Notice Period : Joining within 30 Days only

We are looking for a skilled Senior Engineer HPC / CAE to join our team. In this role, you will be the backbone of our supercomputing platform, ensuring our engineers have the reliable, high-performance tools they need to design the next generation of vehicles.

You will work across the entire HPC stack, from bare-metal servers to the end-user applications, making a direct impact on our engineering and research efforts.

What You'll Do :

- Deploy, optimize, and support a wide range of HPC Administration, Computer-Aided Engineering (CAE) applications and workloads in a complex HPC environment featuring advanced CPU, GPU, and interconnect technologies.

- Maintain and enhance the user-facing tools (CLI and APIs) that streamline our customers' access to HPC infrastructure.

- Serve as a key technical resource for troubleshooting and resolving complex issues related to Linux systems, networking, storage, and mission-critical CAE applications.

- Collaborate closely with software developers and product engineers to ensure the seamless integration and scaling of their applications on our HPC platform.

- Develop and maintain clear documentation for software, procedures, and best practices to empower users and streamline operations.

- Stay current with the latest advancements in HPC and AI/ML technologies to recommend and implement continuous & Min 5+ years of hands-on experience in HPC administration, CAE support, Systems Engineering, or a related software engineering role.

- Strong proficiency in Linux system administration and troubleshooting.

- Demonstrated experience supporting CAE applications in a technical or scientific computing environment.

- Proficiency in a scripting language (e.g., Python, Bash) for automation and tooling.

Preferred (Bonus Points)

- Experience with containerization technologies like Docker or Kubernetes.

- Familiarity with HPC job schedulers (e.g., Slurm, LSF) and parallel file systems (e.g., Lustre, GPFS).

- Hands-on experience with monitoring and alerting tools such as Prometheus, Grafana, Nagios, or Zabbix.

- Experience with GPU computing and relevant toolchains (e.g., CUDA).