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The opportunity

We are looking for a Research Scientist to design, prototype and optimize software systems for training and deploying machine-learning and agentic applications. You will investigate how modern computing platforms, from edge devices and GPU servers to high-performance computing clusters and cloud environments, can support demanding industrial grade power-system applications.

How you will 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 ML inference and training pipelines 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 emerging ML frameworks, serving technologies, accelerators, and development tools.

· 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.

Your background:

- Master’s or PhD degree in Computer Science, Software Engineering or in a related field.

· Strong software-engineering skills, including architecture, implementation, testing and performance analysis.

· Hands-on experience building ML training and inference pipelines beyond notebook-based experimentation.

· Knowledge of model serving, APIs, containers, and deployment in cloud or on-premises environments.

· Familiar with modern cluster and GPU/TPU based HPC architectures on premises and in the cloud.

· 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.

In addition, the following skills would be beneficial for the role:

· Experience with large code bases.

· Experience working with large datasets, synthetic data, or simulation-generated training data.

· Familiarity with ML lifecycle practices, including experiment tracking, model evaluation, artifact management, monitoring, and continuous integration.

· Model-serving technologies such as ONNX Runtime, Triton, vLLM, or equivalent.

· Observability and evaluation of ML and agentic applications.

More about us

At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives.

Our benefits offering for this role generally includes:

• Private medical care and life insurance
• Access to fitness and wellness programs
• Access to a benefits platform with discounts and perks
• Employee Capital Plans (PPK)
• Equipment for working from home or allowances for setting up a workplace at home
• Spectacles and contact lenses allowance
• Company events and team-building activities
• Psychological support program
• Free parking available
  

Additional benefits may apply depending on the role, grade, and business requirements.

You will receive more specific information during the recruitment process.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.