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Hitachi

SW engineer in Research

  • Hybrid
  • English (B2)

Salary

Not stated

Similar roles pay €55K - 100K a year · our estimate

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Description

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.

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 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.

Conditions

Krakow, Lesser Poland, Poland

Job ID:

R0147047

Date Posted:

2026-10-16

Company Name:

HITACHI ENERGY POLAND SP. Z O.O.

Profession (Job Category):

Engineering & Science

Job Schedule:

Full time

Remote:

No

Where you’d work

Part of the week in the office

About the company

Hitachi

  • Industry: Climate

Office in Krakow, Poland

Also hiring in Sweden, Italy, Turin, Italy and 42 more places

9 of their 196 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

1 red flag

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6 checks

1 red flag

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Details11 facts · Role, Location, Compensation, Employment, Company, Requirements
Tech stack
  • CI/CD
Type
Full-time
Industry
Climate
Specialty
ML
Region
Europe
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Tech stack
  • CI/CD

Location

Work model
Hybrid
Region
Europe
Office
  • Krakow, Poland

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Climate

Requirements

Languages
  • English (B2)

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