Research Scientist Cyber-Physical AI & Reasoning
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Job Location:
Pittsburgh, PA - USA
Monthly Salary:
Not Disclosed
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Cyber-Physical AI and Reasoning (Engineer / Researcher)
The Cyber-Physical AI and Reasoning group at Bosch Research Pittsburgh develops intelligent systems that tightly integrate learning reasoning perception and physical interaction. Our mission is to build safe robust and adaptive cyber-physical systems that operate reliably in real-world environmentsspanning robotics automation manufacturing and intelligent devices.
We focus on systems that combine data-driven learning with structured models physical constraints and embedded intelligence enabling machines to sense decide and act across diverse scenarios while continuously improving over time including through interaction with humans.
Core Research & Development Areas
Our work spans a broad range of Cyber-Physical AI topics including but not limited to:
- Embodied and Cyber-Physical AI
- Robot learning and control in physical environments
- Dexterous manipulation and automation for manufacturing
- Humanmachine interaction and shared autonomy
- Hybrid and Model-Based AI
- Combining learning-based models with physics-based symbolic or optimization-based components
- World models state estimation and system identification
- Safety-aware and constraint-driven learning and control
- Multimodal & Foundation Models
- Vision-Language(-Action) models for perception planning and control
- Representation learning across modalities (vision language proprioception signals)
- Cross-domain and cross-embodiment generalization
- Cyber-Physical Systems & Embedded Intelligence
- Embedded ML and edge AI for real-time systems
- Integration of learning algorithms with sensors actuators and control stacks
- Sim-to-real transfer and deployment on physical platforms
- Engineering & Prototyping
- System prototyping
- Data collection pipelines simulation environments and benchmarking frameworks
- Deployment of AI systems to industrial settings
Role & Responsibilities
Depending on background and seniority candidates will contribute to a mix of research and engineering activities including:
- Defining and investigating compelling problems in Cyber-Physical AI & Reasoning
- Designing implementing and evaluating learning-based or hybrid AI systems
- Conducting literature reviews and translating insights into practical system designs
- Developing experimental pipelines (simulation real-world testing data collection)
- Analyzing system performance robustness safety and failure modes
- Collaborating with interdisciplinary teams spanning AI robotics and engineering
- Contributing to:
- Research publications and technical reports
- Industrial patents and technology transfer
- Prototypes deployed in labs or production environments
Qualifications :
Technical Experience & Skills
We welcome candidates with overlapping subsets of the following skillsdepth in all areas is not required:
- Cyber-Physical Systems & Robotics
- State estimation system modeling or dynamics
- Safety robustness or generalization in physical systems
- Robot perception control planning or manipulation
- Engineering & Systems
- Embedded systems real-time systems or edge AI
- Integration of ML models with hardware sensors and control software
- Experience with simulation tools robotics middleware or control stacks
- Machine Learning & AI
- Multimodal learning representation learning or foundation models
- Reinforcement learning imitation learning or optimal control
- Hybrid approaches combining data-driven and model-based methods (e.g. neuro-symbolic integration)
- Practical ML & Experimentation
- Training and evaluating neural models (single- or multi-GPU)
- Data curation dataset analysis and benchmarking
- Debugging non-convex optimization and real-world system failures
Minimum Qualifications
- Masters or Ph.D. in Computer Science Robotics Electrical/Mechanical Engineering Machine Learning or a related field
- Strong foundation in AI/ML cyber-physical systems robotics control
- Experience with programming and experimental system development
Preferred Qualifications
- Experience with physical or robotic hardware systems
- Experience with embedded or real-time systems
- Experience with multimodal foundation models
- Exposure to hybrid or model-based AI methods
- Prior research publications technical reports or strong project portfolios
- Experience collaborating in interdisciplinary or industrial research teams
Who Should Apply
This role is well-suited for:
- Early-career researchers seeking hands-on experience in Cyber-Physical AI
- Candidates interested in bridging AI research and real-world engineering
- Researchers and engineers excited about deploying AI systems beyond simulation
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more
