Team Leader - Emerging Technologies - (MBE)

Atlas Copco Group Co.,Ltd

Maharashtra

Hybrid

INR 1,800,000 - 3,200,000

Full time

24 hours ago
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Job summary

Atlas Copco Group in Pune, India seeks a Team Leader - Emerging Technologies (MBE) to lead modelling-led engineering initiatives for compressors, vacuum systems, and pumps. You will drive physics-based and data-driven modelling, develop test benches, and build reusable model libraries to support technology development and product decisions.

The role demands 7-20 years in mechanical engineering, strong leadership, cross-functional collaboration, and a track record in NPI/NPD/technology projects.

Qualifications

  • Strong leadership with ability to mentor and coach multi-disciplinary teams.
  • Experience in leading NPI/NPD/Technology projects.
  • Expertise in physics-based and data-driven modelling for rotating, flow and thermal systems.

Responsibilities

  • Lead timely execution of modelling/engineering projects for compressors, vacuum systems, and pumps.
  • Translate customer needs into modelling plans, calibration strategies and deliverables.
  • Drive competence development, knowledge sharing and reusable modelling methodologies.
  • Ensure communication with stakeholders across project phases and with product teams.

Skills

Team leadership
Modelling & simulation
Thermodynamics
Data-driven modelling
1D/CFD modelling
Python
Matlab
AI/ML in engg

Education

BTech/MTech in Mechanical Engg

Tools

Matlab
Python

Job description

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 standardized 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

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