Industrial research engineer for parallel/high-performance computing (CPUs/GPUs)

For our research center in Kraków, Poland we are looking for a Researcher with expertise in High Performance Computing (HPC) willing to explore modern hardware and software for executing parallel algorithms and calculations for the development of the future power grids applications. You will join a dynamic, motivated and creative team with a broad range of experience and competences. As part of our team, you will combine theory with practice, creating, testing and validating new technologies to enable the energy transition.

How you'll make an impact

• Collaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for our customers through expertise in software applications for Power systems.
• Propose, contribute to and lead research and development projects creating mathematical solvers for intense calculations leveraging HPC.
• Work with a multitude of technologies and stacks, for systems spanning from on premise edge device, embedded, single server up to the scalable cloud-based solutions.
• Evaluate feasibility and performance of 3rd party components for application in our products, such as GPU, TPU or other high performance computing technologies.
• Advise researchers on optimizing code for a target platform.
• Advise internal IT on optimal evolution of the company high-performance computing environment.
• Network in the company and actively distribute your knowledge and expertise.
• Provide consultancy in your field of expertise to our business units.
• Collaborate with local and global external partners including universities, open-source communities, startups and vendors.
• Disseminate your results in scientific publications, patent applications, and technical reports.

• Master's or PhD degree in Computer Science, Software Engineering or in a related field.
• Ability to conduct all phases of a software project - conceptual work, architecture preparation, design, prototyping and verification.
• Able to analyze algorithms for computing, memory, communications bottlenecks.
• Familiar with modern cluster and GPU/TPU based HPC architectures on premises and in the cloud.
• Experience with SW libraries for using certain HPC architectures (CUDA, MPI,...) and distributed/virtualized systems.
• Know-how of modern design patterns, methodologies, programming languages, frameworks and stacks.
• Willingness to mix conceptual activities with hands-on work.
• Ability to adapt to different team sizes - from single-person studies to participation in large teams.
• Willingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise.
• Experience that demonstrates your team-oriented, innovative, and strategic working styles.
• Fluency in English, both written and spoken.

• Experience with large code bases.
• Experience with container and microservice architectures.
• Experience with HW tuning (cores, clock speed, cache size, memory size, communication buses) for optimal performance.
• Experience using HPC and algorithmic performance optimization for running large scale mathematical solvers.
• Programming experience (e.g. C#, C++, GO, Java, Python)
• Software engineering expertise beyond programming.