Job ID: 744000153674054

HPC Engineer (m/f/d)

Pune

Professional

Regular (Part Time Possible)

T-Systems ICT India Pvt. Ltd.

Your Task

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.

Responsibilities

- Drive innovation initiatives for engineering and HPC customers
- Evaluate and implement new technologies related to AI supported engineering and simulation workflows
- Evaluate and implement new technologies related to GPU computing and acceleration
- Evaluate and implement new technologies related to NVIDIA Omniverse and digital twin technologies
- Evaluate and implement 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

Your Profile

We are looking for a highly motivated HPC Engineer with robust expertise in High Performance Computing environments, engineering simulation workflows,



and emerging technologies including AI-driven solutions and GPU computing. The ideal candidate must demonstrate exceptional self-starter mentality, strong ownership mindset, and ability to work independently while delivering reliable results.

Must Have Skills

- 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
- Experience with at least one prominent CAE solver (Ansys, StarCCM, Nastran, Optistruct or similar)
- Strong Linux administration skills
- Strong Linux troubleshooting skills
- Ability to understand engineering customer requirements and technical workflows
- Experience working in customer-facing or solution-oriented technical roles
- Strong analytical capabilities
- Strong problem-solving capabilities
- Excellent English communication skills
- Strong self-starter mentality with exceptional initiative
- Ability to independently identify opportunities, define solutions, and drive execution without continuous supervision
- Comfortable working in an setting 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 approach
- Pragmatic and solution-oriented approach
- Curiosity and enthusiasm for exploring emerging technologies and industry trends

Nice to Have Skills

- 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
- Scripting and automation experience using Bash or similar tools

About Us

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.

Application Information

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Job Benefits

Work-Life Balance

Full-time position

Financial

Flexible pay per use model

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