Full-Time
Senior Researcher
Transportation Simulation, Traffic Prediction
Posted on 10/31/2025
Fujitsu
10,001+ employees
Global ICT products and services provider
Compensation Overview
$119k - $170k/yr
Pittsburgh, PA, USA
In Person
 AI & Machine Learning (3) |
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- PhD in Engineering, Computer Science, Operations Research, or a related field.
- Expert-level knowledge in one or more of the following areas: macroscopic, mesoscopic, or microscopic traffic simulation; traffic prediction; or multi-agent reinforcement learning
- Strong track record of publishing research in top-tier journals in transportation.
- Experience implementing machine learning and deep learning algorithms.
- Proficiency in Python.
- Conduct cutting-edge research in one of the following fields: traffic simulation, transportation network modeling, or traffic prediction.
- Publish papers in top-tier conferences and journals in the fields of transportation, machine learning or artificial intelligence.
- Collaborate with cross-functional teams to conduct field trials and translate research into commercial applications.
- Work on joint research initiatives with university partners and Fujitsu's global research teams.
- Expert knowledge in TensorFlow or PyTorch.
- Research experience in multi-modal traffic simulation.
- Experience working with large-scale transportation networks, geospatial data, and massive spatiotemporal datasets
- Experience prototyping applications based on research findings.
Fujitsu provides ICT products and services for businesses, including computing hardware, networking equipment, software, and related consulting and managed IT services. It delivers hardware platforms (servers, storage, networking) and software that run on them, along with services to design, implement, and manage digital infrastructure, data centers, and applications. It differentiates itself with a long global track record, end-to-end capabilities, and deep integration of hardware, software, and services across regions, reflecting its telecom-to-IT shift. Its goal is to help customers manage information and communications technology to support digital transformation and business continuity worldwide.
Company Size
10,001+
Company Stage
IPO
Headquarters
Tokyo, Japan
Founded
1935
Simplify's Take
What believers are saying
- Quantum simulator challenge attracts 46 teams from 13 countries, validating market demand for accessible quantum tools.
- Tensor network simulator handles 40+ qubits in shallow circuits, expanding addressable problem classes beyond state vector.
- VQE acceleration technology reduces computation time from 200 days to one day, enabling practical quantum applications.
What critics are saying
- Google or IBM achieve quantum supremacy by 2027, rendering Fujitsu's simulators obsolete before 2030 roadmap.
- Nvidia and AMD commoditize Arm-based AI chips, undercutting MONAKA's competitive positioning in edge markets.
- Persistent earnings misses trigger investor exodus, starving quantum and AI R&D investments through 2026-2027.
What makes Fujitsu unique
- 40-qubit CPU-based quantum simulator with 1,024 FX700 nodes operational since October 2023.
- Proprietary Quantum Application Research Package streamlines quantum algorithm development for industrial applications.
- Hybrid quantum platform integrates 64-qubit superconducting computer with 40-qubit simulator for seamless transitions.
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Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Hybrid Work Options
Company News
Fujitsu has secured Japanese government support for semiconductor design projects in collaboration with IBM Japan, part of efforts to strengthen domestic chip supply capabilities. The initiative aims to reduce supply chain concentration and reinforce Japan's role in advanced semiconductor technologies. The backing could provide Fujitsu with additional resources and collaboration opportunities for its computing, networking and IT services businesses, which rely on advanced chips. However, the company faces challenges: analysts forecast an average 1.7% annual earnings decline over the next three years. Fujitsu currently trades at ¥3,324, approximately 29% below analysts' ¥4,689 price target and 13.5% below estimated fair value. The stock has declined 6.2% over the past month. The company maintains an 8.8% net income margin.
Fujitsu and The University of Osaka have developed technology to accelerate quantum computing applications in chemical material design during the early fault-tolerant quantum computing era. The breakthrough combines version 3 of the STAR architecture with a novel molecular model optimisation technique, significantly reducing computational resource requirements. The technology enables energy calculations for catalyst molecules within realistic timeframes using early-FTQC quantum computers—calculations currently impossible on existing computers and would take millennia using previous STAR versions. Applications include drug discovery, improving ammonia synthesis efficiency and advancing carbon recycling technologies. Current quantum systems are highly error-prone, with practical applications typically requiring millions of qubits. The partners will continue advancing the technology to expand quantum computing's practical applications across drug discovery, material development and finance sectors.
Fujitsu has announced that its comprehensive traffic simulation system has been adopted for Maebashi City's Regional Public Transportation Plan, published on 23 March 2026. The system, developed under Japan's Ministry of Land, Infrastructure, Transport and Tourism-led COMmmmONS project, is the first in Japan to simulate both fixed-route and demand-responsive transportation. The technology uses Fujitsu's social digital twin capabilities to model human and social behaviour, drawing on statistical data about residents and ridership information from MaaS applications. Maebashi City used the system to provide scientific evidence supporting bus route expansion measures in its public transportation strategy. Fujitsu plans to commercialise the system by fiscal year 2026, positioning it as a standard tool for local governments across Japan addressing transportation challenges and carbon neutrality goals.
Arrcus has announced a collaboration with Fujitsu and 1Finity around FUJITSU-MONAKA, Fujitsu's next-generation Arm-based CPU, to deliver secure, energy-efficient infrastructure for distributed AI workloads. The partnership aims to address challenges in latency, power consumption, data sovereignty and security as AI inference expands beyond centralised data centres to the edge. The architecture integrates FUJITSU-MONAKA-powered compute with Arrcus ArcOS network operating system and 1Finity's optical interconnect technology. It is designed to support use cases including physical AI in smart factories and robotics, enterprise AI workloads requiring localised processing, and service provider-delivered AI services. FUJITSU-MONAKA features built-in confidential computing capabilities and improved power efficiency. The collaboration was showcased at MWC Barcelona, where both companies demonstrated the joint solution.
Broadcom is shipping a new custom AI chip design to Fujitsu that uses advanced stacking technology to improve energy efficiency. The company expects major data centre operators to adopt the design later this year. The 3.5D eXtreme Dimension System in Package stacks two chip components top to top, rather than the top-to-bottom approach pioneered by AMD. This configuration enables greater data transfer with better power efficiency, according to Harish Bharadwaj, vice president of marketing in Broadcom's custom chip unit. The development represents Broadcom's push into the custom AI chip market, targeting data centre operators seeking more energy-efficient solutions for AI workloads.