Bosch Group: Research Engineer: AI/ML enhanced control engineering — bengaluru, India

Bosch Group lists a Research Engineer: AI/ML enhanced control engineering opening in bengaluru, India. The position is listed as full-time. The job description covers AI, portfolio management.

Recruitment overview

OrganisationBosch Group
Post / roleResearch Engineer: AI/ML enhanced control engineering
Employment typeFull-time
Notification / job IDREF297476D
Job locationbengaluru, India
Work arrangementOn-site
Educational qualificationDegree / qualification: Experience: C/C++ will be added advantage
Experience requiredAssociate
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists Research Engineer: AI/ML enhanced control engineering in bengaluru, India, under reference REF297476D. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Employment type: Full-time
  • Employer listing date: 8 October 2026
  • Contract type: Unlimited
  • Legal Entity: Bosch Global Software Technologies Private Limited
  • Brands: Bosch Group

Responsibilities and work described

  • 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 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

Essential requirements and candidate background

  • 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
  • Programming skills in python
  • Experience: 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
  • Presentation and communication skills

Preferred experience and additional strengths

  • Experience: C/C++ will be added advantage
  • Hands on knowledge in tabular foundational models, transformer architectures will be an added advantage
  • Knowledge: Linear algebra & Matrix theory
  • Familiarity: high performance computing will be added advantage

Location, schedule and contract conditions

  • Work arrangement: On-site
  • Advertised location: bengaluru, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Research Engineer: AI/ML enhanced control engineering vacancy is not an offer for reference REF297476D; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF297476D.

Compare your qualifications and experience with the essential conditions for the bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • C++
  • AI/ML
  • MATLAB
  • AI
  • portfolio management
  • Simulink
  • communication

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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