Agentic AI Senior Researcher

Fujitsu

Santa Clara (CA)

On-site

USD 167,000 - 251,000

Full time

47 hours ago
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Job summary

FUJITSU RESEARCH OF AMERICA, INC. (FRA) in Santa Clara, California, seeks a PhD-level researcher to join the Agentic AI research team.

You will collaborate with AI researchers and engineers, shape system design, and drive experiments toward production-ready enterprise solutions. The role focuses on multi-agent systems, world models, and scalable AI technologies with the aim of publishing in top conferences.

Qualifications

  • At least 3 publications as the first author appearing in top AI conferences over the last 3 years.
  • PhD in Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Mathematics, or Physics with AI/ML research.
  • Experience with LLMs, agentic tool use, agentic memory, and agentic post-training.
  • Strong publication record in AI/ML conferences and/or journals.

Responsibilities

  • Research Multi-AI Agents systems.
  • Build and evaluate world models for AI agents in enterprise applications.
  • Train both domain-specific and general domain models.
  • Improve agent performance with and without world models.
  • Deliver reproducible results, aiming to publish at a top AI conference.

Skills

Publications record
LLMs research
Agentic tools

Education

PhD in CS/DS/EE/ME/Physics

Job description

Job Location: Santa Clara, California

Location Flexibility: Multiple Locations in Country

At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.

We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.

We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.

If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.

Together, we can create a more sustainable future for all.

FUJITSU RESEARCH OF AMERICA, INC. (FRA) was established in 1993 as a wholly owned subsidiary of Fujitsu Laboratories Ltd., which is a wholly owned subsidiary of Fujitsu Ltd., focusing on contributing to Fujitsu's technology value chain. FRA conducts advanced research in Artificial Intelligence, Data Science, System Components and Platform Innovations, Network and Trusted Systems Innovations, and Internet Service Innovations.

We are seeking a highly motivated PhD to join our team working at Agentic AI research. You will collaborate closely with a team of AI researchers and engineers, contribute to system design and experimentation, and help shape the future of automated software development for enterprise applications.

Job Description
  • Research Multi-AI Agents systems
  • Build and evaluate world models for AI agents in enterprise applications.
  • Train both domain-specific and general domain models.
  • Improve agent performance with and without world models.
  • Deliver reproducible results, with the goal of submitting a publication to a top AI conference.
Qualifications
  • At least 3 publications as the first author appearing in top AI conferences of past 3 years.
  • Ph.D. in Computer Science, Data Science, Electrical Engineering, Mechanic Engineering Mathematics, or Physics with some research background in the area of Artificial Intelligence, machine learning, natural language processing, or software engineering.
  • Research experience with LLMs, agentic tool use, agentic memory, and agentic post-training.
  • Strong publication record demonstrated by accepted or published research papers in high-quality AI/ML conferences and/ or journals.

#Americas_Priority

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $167,300 to $250,900 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance. As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits.

Relocation Supported: Yes

Visa Sponsorship Approved: Yes

At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.

We are an equal opportunity employer and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by law.

We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential.

California Consumer Privacy Act (CCPA), read here

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