HPC Engineer

Company Introduction - T-Systems ICT India Pvt. Ltd. T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector. For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability-empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

Role Overview

We are looking for a highly motivated HPC Engineer who is passionate about driving innovation in engineering computing environments This role goes beyond traditional HPC operations and focuses on identifying evaluating and implementing new technologies and customer solutions in our existing Industrial Engineering Cloud platform

A major focus of this position is the development and integration of innovative solutions around AI driven simulation workflows GPU accelerated computing and NVIDIA Omniverse technologies The successful candidate has to understand emerging requirements and transform them into practical services and solutions

This role requires a high degree of ownership independence and accountability We are looking for someone who can take ideas from concept to production with minimal supervision while maintaining a structured and reliable approach

Must haves in bold

Key Responsibilities

Drive innovation initiatives for engineering and HPC customers

Evaluate and implement new technologies related to

AI supported engineering and simulation workflows

GPU computing and acceleration

NVIDIA Omniverse and digital twin technologies

Future HPC and engineering cloud services

Analyze customer requirements and transform them into technical solutions and service enhancements

Work directly with industrial engineering customers to understand current and future challenges

Develop proof of concepts pilot solutions and production ready implementations

Introduce new capabilities into the existing HPC platform and service portfolio

Collaborate with service management architects and operations teams across multiple countries

Take full end to end ownership of projects from idea generation through implementation and operational handover

Continuously identify opportunities for automation optimization and service improvement

Required Qualifications

Bachelor s or Master s degree in Computer Science Engineering Information Technology or a related field

Solid understanding of High Performance Computing HPC environments and concepts

At least experience with one prominent CAE solver Ansys StarCCM Nastran Optistruct or similar

Strong Linux administration and troubleshooting skills

Ability to understand engineering customer requirements and technical workflows

Experience working in customer facing or solution oriented technical roles

Strong analytical and problem solving capabilities

Excellent English communication skills

Preferred Qualifications

Experience with GPU computing technologies and architectures

Knowledge of NVIDIA technologies including CUDA GPUs and NVIDIA Omniverse

Experience with simulation workloads such as CAE CFD FEM or related engineering applications

Familiarity with AI and machine learning applications in engineering environments

Experience with HPC workload managers such as Slurm

Understanding of cloud hosted HPC platforms and hybrid infrastructures

Scripting and automation experience using Python Bash or similar tools

Essential Personal Competencies

Strong self starter mentality with exceptional initiative

Ability to independently identify opportunities define solutions and drive execution without continuous supervision

Comfortable working in an environment where ownership and accountability are expected

Highly structured and organized way of working

Proven ability to deliver reliable results while managing responsibilities autonomously

Strong end to end ownership mindset taking responsibility from concept through implementation and operation

Ability to balance innovation with operational stability and customer needs

Customer focused pragmatic and solution oriented approach

Curiosity and enthusiasm for exploring emerging technologies and industry trends

About the service

Industrial Engineering Cloud IEC delivers High Performance Computing HPC services to engineering and industrial customers through multiple data centers located in Germany Our services are provided in a flexible pay per use model enabling customers to scale their computing capacity according to their business needs

In addition to HPC services IEC offers hosting solutions for Product Lifecycle Management PLM systems and Virtual Desktop Infrastructure VDI environments tailored for engineering workloads

Our international team consists of 12 professionals located in Brazil Germany and India combining infrastructure operations engineering and customer facing expertise to deliver reliable and innovative services to customers worldwide

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