Research Engineer: AI/ML enhanced control engineering
At a glance
Mid-level AI Research role at Bosch Group. Bengaluru · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Analyze and simulate dynamic systems with uncertainty, then build secure solutions for learning and control problems
- Use data-driven methods to strengthen model-based control for constrained systems with parameter or structural uncertainty
- Shape solution proposals and minimum viable software around customer contact and product-specific requirements
- Track academic and industry research, assess new methods, and adapt useful approaches to products
What you bring
- At least three years of experience and an MS, MTech, or PhD in a listed engineering or computing field
- Strong control theory knowledge, including stability analysis, optimal, adaptive, and robust control methods
- Practical AI/ML experience with methods such as deep learning, Gaussian processes, ensemble methods, or surrogate models
- Strong Python skills, plus MATLAB and Simulink simulation experience
Who this fits
This mid-level role suits you if you combine control engineering with AI/ML and can communicate technical solutions clearly. The position is onsite in Bengaluru.
From the employer
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Roles & Responsibilities :
As part of an interdisciplinary research team you will combine methods from artificial intelligence, control theory and computer science with the product portfolio of Bosch. Future dynamics systems need to adapt themselves and handle uncertainties during operation while safeguarding functionality. Join us in transforming complex challenges into real-world impact.
• Addressing technical challenges: You will analyze, model, and simulate dynamic and uncertain systems and develop secure approaches for solving complex learning and control engineering problems.
• Systematically develop solutions: You will use data-based methods to improve model-based control concepts and apply them to constrained linear, nonlinear, and distributed systems with parameter and structural uncertainties.
• Support Transfer: You maintain close contact with the customer, take into account product-specific requirements, and prepare solution approaches and minimum viable software products in a target-group-oriented manner.
• Bring new ideas into life: You continuously monitor and evaluate academic and industrial research and adapt new approaches to Bosch products.
Educational qualification:
MS/MTech, PhD from top Indian institutes (IITs, IISc etc.) in the field of Electronics and Communication Engg, Electrical Engg, Mechanical Engg, Mechatronics Engg, Cybernetics, Aerospace Engg, Computer Science Engg, from top international institutes with good academic track record.
Experience :
3+
Mandatory/requires Skills :
Sound knowledge of modern control theory is a must, with profound knowledge in concepts of Lyapunov stability analysis, optimal control (LQR/LQG), adaptive control, and robust control which are essential for handling unpredictable environments.
Sound knowledge and hands on experience in AI/ML methods and tools: Deep learning, GPRs, Bagging & boosting methods, Surrogate modelling techniques, Reduced order models.
Excellent programming skills in python.
Experience with simulation tools: MATLAB, Simulink
Sound understanding of theory of ODEs and system of ODEs and numerical methods to solve them.
Adept at systems thinking, with a focus on holistic problem-solving and recognizing patterns in complex environments
Excellent presentation and communication skills.
Preferred Skills :
Experience in C/C++ will be added advantage.
Hands on knowledge in tabular foundational models, transformer architectures will be an added advantage
knowledge of Linear algebra & Matrix theory.
Familiarity with high performance computing will be added advantage.