AI Research Scientist – AI-Driven Modeling, Robotics & Vision-Language-Action (VLA) Systems

Strategic Micro Systems of NJ, LLC.; Agrate Brianza; On-site; EUR 38,000 - 45,000; Full time

Job summary

STMicroelectronics seeks an exceptional AI Research Scientist to advance AI-driven modeling of complex systems. You will explore foundation models, scientific machine learning, multimodal learning, and simulation to model, understand, and optimize physical and industrial processes.

A key focus is developing intelligent systems for Robotics and Vision-Language-Action (VLA) applications through advanced modeling, simulation, and foundation-model technologies.

Qualifications

• PhD or equivalent in AI, ML, robotics, CS, applied maths or related field.
• Publications in leading conferences or journals.
• Experience with robotics, embodied AI, digital twins, or simulation environments.
• Experience with foundation model training or adaptation.
• Open-source or research community contributions.

Responsibilities

• Drive research in AI-driven modeling, robotics, and intelligent systems.
• Design and develop AI models for physical, industrial, and embodied environments.
• Build prototypes and proofs-of-concepts based on emerging AI technologies.
• Contribute to multimodal AI, simulation-driven learning, robotic intelligence, and VLA systems.
• Design physical modeling algorithms and hybrid AI-physics models for Digital Twin solutions.
• Create modeling frameworks combining data, domain knowledge, and physical constraints.
• Design rigorous experiments and evaluation methodologies.
• Publish results, contribute to patents, and communicate technical findings.
• Collaborate with multidisciplinary teams across research, engineering, and product groups.

Skills

Hands-on AI experimentation

Software development

Problem formulation

Multimodal learning

Time-series modeling

Physics-informed neural networks

Reinforcement learning

Simulation

Representation learning

AI evaluation

Robotics & VLA

Python

PyTorch

JAX

TensorFlow

Scientific experimentation

Education

PhD or equivalent

Tools

PyTorch

JAX

TensorFlow

Job description

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

YOUR ROLE

The Applied Mathematics Team (AMT), part of System Research & Applications (SRA), develops advanced AI and mathematical technologies to address complex industrial challenges and create competitive advantages for ST. We work at the intersection of AI, mathematical modeling, simulation, digital twins, robotics, and software engineering, transforming cutting-edge research into impactful industrial solutions.

Job Summary

We are looking for an exceptional AI Research Scientist passionate about advancing the state of the art in AI-driven modeling of complex systems.

You will explore how foundation models, scientific machine learning, multimodal learning, and simulation can be used to model, understand, and optimize physical and industrial processes. A key focus of the role is the development of intelligent systems for Robotics and Vision-Language-Action (VLA) applications through advanced modeling, simulation, and foundation-model technologies. The role also includes the development of physical modeling algorithms for Digital Twins, enabling the creation of predictive, adaptive, and explainable representations of complex physical systems.

Key Responsibilities

• Drive research in AI-driven modeling, robotics, and intelligent systems.
• Design and develop advanced AI models for physical, industrial, and embodied environments.
• Build prototypes and proof-of-concepts based on emerging AI technologies.
• Contribute to multimodal AI, simulation-driven learning, robotic intelligence, and VLA systems.
• Design and develop physical modeling algorithms and hybrid AI-physics models to support next-generation Digital Twin solutions.
• Create modeling frameworks that combine data, domain knowledge, and physical constraints.
• Design rigorous experiments and evaluation methodologies.
• Publish results, contribute to patents, and communicate technical findings.
• Collaborate with multidisciplinary teams across research, engineering, and product groups.

Required Qualifications

Technical Skills

• Strong hands-on AI experimentation and software development skills.
• Ability to independently identify problems, formulate research hypotheses, and execute projects.
• Expertise in one or more of:
  • Multimodal Learning
  • Time-Series Modeling
  • Physics-Informed Neural Networks
  • Reinforcement Learning
  • Simulation
  • Representation Learning
  • AI Evaluation
• Deep expertise in Robotics and Vision-Language-Action (VLA) systems, including modeling, simulation, and learning for physical or embodied environments and the development of physical modeling algorithms for Digital Twins.
• Strong Python and modern AI framework skills (PyTorch, JAX, TensorFlow).
• Experience with scientific experimentation and benchmarking.

Personal Skills

• Strong scientific judgment and problem-solving mindset.
• Intellectual curiosity, autonomy, and initiative.
• Excellent collaboration and communication skills.
• Passion for research and innovation.

Preferred Qualifications

• PhD or equivalent research experience in AI, Machine Learning, Robotics, Computer Science, Applied Mathematics, or related fields.
• Publications in leading conferences or journals.
• Experience with robot learning, embodied AI, digital twins, or simulation environments.
• Experience with foundation model training or adaptation.
• Open-source or research community contributions.

Why Join Us

• Work on cutting-edge AI research with direct industrial impact.
• Shape the future of AI-driven modeling, robotics, and intelligent systems.
• Collaborate with experts across AI, mathematics, software, and semiconductor technologies.
• Influence strategic technology directions within ST.

The expected salary range for this position is €38,000 – €45,000 gross annual salary (RAL), plus variable pay and productivity premium.

In accordance with the EU Pay Transparency Directive and applicable Italian legislation, this compensation range has been determined based on objective, gender-neutral criteria, including job responsibilities, required skills, relevant experience, qualifications, and market benchmarks. Placement within the range will depend on the candidate’s profile and demonstrated competencies. The final offer will be made in compliance with the applicable National Collective Bargaining Agreement (CCNL), where relevant, and our internal compensation policies. We are committed to equal pay for equal work and equal opportunities for all candidates

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.

To discover more, visit st.com/careers.