Team Leader - Emerging Technologies - (MBE)

Atlas Copco Group; Pune District; Hybrid; INR 1,500,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Atlas Copco Group in Pune, India, is seeking a Team Leader for Emerging Technologies (MBE) to drive state‑of‑the‑art modelling initiatives for compressors, vacuum systems, and new machine concepts. You will lead a multinational MBE team, advancing physics‑based and data‑driven modelling, digital engineering, and DOE practices.

The role requires 7–20 years in mechanical engineering/tech development, strong leadership, and collaboration across functions.

Qualifications

• 7–20 years in Mechanical/R&D/Engineering/Technology domains.
• Lead technical teams and convert ambiguous problems into structured work.
• Cross‑functional collaboration with diverse teams.

Responsibilities

• Lead timely execution of modelling, simulation, and analytical projects.
• Translate needs into modelling plans, assumptions, calibration strategy, and deliverables.
• Mentor a high‑performing team and drive competence development.

Skills

MBE modelling

team leadership

thermodynamics

data‑driven modelling

digital engineering

Education

BTech/ MTech/ PhD in Mechanical Engineering

Tools

Python

Matlab

Job description

Team Leader - Emerging Technologies - (MBE)

Your role

As Team Leader - (MBE) - Emerging Technologies, your mission is to deliver state-of-the‑art engineering services and solutions for the development of modelling‑led technology initiatives related to compressors, vacuum systems, pumps, components, and new machine concepts. You will lead the MBE competence by advancing physical phenomena‑based modelling, data‑driven modelling, engineering calculations, and digital engineering practices, while fostering technical competence, best modelling practices, continuous improvement, and impactful contributions to innovation and product development.

Key Responsibilities

Customer Focus

• Lead timely execution of BDC / NPI / NPD / custom technology projects requiring modelling, simulation, and analytical support.
• Translate divisional/customer needs into clear work packages, modelling plans, assumptions, calibration strategy, and deliverables.
• Ensure effective communication with internal stakeholders through all phases of the project and proactively identify opportunities to enhance GECIA’s contribution toward technological advancement.

People Focus

• Build and coach a high‑performing MBE team with strengths in thermodynamics, gas dynamics, thermal‑fluid modelling, kinematics and dynamics, system/sub‑system/component modelling, and digital engineering.
• Drive competence development roadmaps, structured knowledge sharing, and reusable methods and models across the team.
• Create strong team spirit around Driving Customer Success & Improving Business Results, while fostering a “CAN DO; WILL DO” mindset and a research‑oriented culture.

Technology Focus

• Advance the team’s capabilities in physics‑based modelling, data‑driven modelling, dynamic and transient modelling, digital DOE, AI/ML‑assisted MBE, surrogate modelling, and model reuse.
• Develop/ support in developing test benches for calibrating the models for medium – high fidelity models at fundamental level. Subsystem level, system level.
• Define best practices for modelling quality, assumptions, validation, documentation, and traceability.
• Track market and industry trends and align the team’s capability development with future technology needs across compressors, vacuum, pumps, hydrogen, CO₂, and energy‑efficiency‑related initiatives.

Product Focus

• Build reusable model libraries, templates, methodologies, and digital building blocks for faster concept evaluation and technology decision‑making.
• Support technology reviews, concept feasibility studies, and early‑stage architecture down‑selection.
• Ensure strong knowledge management on Product, Process, People, and Tool, and maintain structured project history and learning capture.

Operational Excellence

• Ensure adherence to SOPs, transparent capacity planning, and high‑quality delivery standards.
• Drive automation of repetitive modelling activities and improve team efficiency through digital methods and standardised workflows.
• Ensure GECIA KPIs as targeted by Management.
• Strengthen interfaces with testing, product teams, and machine technology teams to improve model validation and technology transfer readiness.

To succeed, you will need

• Strong experience in model‑based engineering / simulation / analytical engineering in rotating, reciprocating, flow, thermal, or multi‑physics systems.
• Demonstrated ability to lead technical teams and convert ambiguous problems into structured engineering work.
• Good understanding of technology development, product development, and cross‑functional collaboration.
• A strong blend of technical depth, people leadership, innovation mindset, and execution discipline.

What we expect of you?

Experience Requirement:

• Experience: 7 – 20 years In Mechanical/ R&D/ Equivalent Engineering/ Technology Domains
• Education: BTech/ MTech/ phD in Mechanical Engineering

• People Management experience is added advantage
• Experience in working with cross functional teams & cross‑cultural teams is must.
• First‑hand experience of working on NPI/ NPD/ Technology projects is essential.

Knowledge Requirement:

• Excellent knowledge & Experience on Developing Medium – high fidelity 1D models for
  • Products Eg – Compressors, Vacuum systems
  • Phenomena – Eg: Thermal, leakage, tribology, Heat transfer, Mechanics, Dynamics, Fluid- Structure interactions
• Excellent knowledge on
  • Core Mechanical Engineering - is must
  • Fundamental physics & applied physics is must
  • Engineering Maths and Applied Maths is must
  • Computational Sciences is must
  • Statistical analysis is added advantage
  • DOEs – is added advantage
  • Machine learning – is an added advantage
• Good coding & Modelling knowledge on 1 of the following s/w platforms:
  • Matlab (is an added advantage)
  • Python
• Can independently derive governing equations from first principles approach related to:
  • Systems in thermodynamic behaviour
  • Gas dynamics
  • Real gas behaviour
  • Interaction of fluid and structure
  • Motion analysis
  • Kinematic and Dynamic synthesis of a subsystem/ system
• Excellent knowledge & Experience on at least 1 of Compressor/ Vacuum technologies from the following domains:
  • Rotory Technologies
  • Reciprocating Technologies
  • Viscous Pump Technologies
• Good understanding of Atlas Copco Products across Business Areas is an added advantage.
• Excellent knowledge on real gas behaviour and modelling the same at various conditions is must. Gasses like N2, CO2, CH4, H2, He, gas Mixtures etc
• Understanding of Global engineering & Design standards (ISO, DIN, API, ASME etc) is must.
• Good knowledge of AI and use of AI (not limited to Gen AI) in engineering systems is an added advantage.

Expected Skills:

• Dynamic, Result Oriented, Customer focused.
• Technology Driven
• Excellent coaching Skills
• Can do: Will do attitude
• People Management
• Excellent Project Management Skills
• Flair for Automation
• Ability to manage the team as per talent framework
• Strong collaboration mindset and ability to balance innovation with structured execution.

In return, we offer

• Culture of trust and accountability
• Lifelong learning and career growth
• Innovation powered by people
• Comprehensive compensation and benefits
• Health and well‑being

Job location

Hybrid
This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on‑site at our (insert organization here) in Pune, India (IN).

Contact information

Talent Acquisition Team

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Information at a Glance

Atlas Copco Group enables technology that transforms the future. We innovate to develop products, services and solutions that are key to our customers' success. Our four business areas offer technologies for air and gas compression, vacuum and abatement, automated assembly and quality control, mobile energy management and power generation as well as portable and industrial flow technologies.