Multi-Body System Simulation Engineer

Life @ESPL

At ESPL, we believe continuous learning is key to staying ahead in the ever-evolving world of technology. Being a growing mid-sized organization, we offer opportunities for our employees at every level of their expertise and journey with us. We ensure our employees grow systematically through our training programs that foster that growth.

Unity in diversity: Young and dynamic professionals with passion for engineering form the ESPL team. With focus on innovation and growth, ESPL family as a whole has strived through different challenges. We appreciate our team for their contribution and dedication.

Technical competence is basic requirement of CAE domain and we ensure that our team is well acquainted with latest technical trends in the business. We have developed comprehensive training programs for our team for developing Technical know- how, Soft skills, Leadership development and Data security awareness.

Work Culture

We support multi-continental customers. It is always interesting to know different work cultures from different regions and we like to implement the best from each in our team. Professionalism and commitment are the key values at the core of ESPL team.

We ensure development of our employee’s professional career by providing long term opportunities to work on challenging tasks, developing expertise required for the execution and maintaining work- life balance in a supportive and approachable manner.

Various team bonding activities ensures that at the end we stand strong together as one unit. Knowledge sharing and communication plays a vital role in development of each and every person individually as well as in a team.

Why Work with ESPL

We are committed to delivering comprehensive virtual engineering solutions from concept to prototype. Our team of skilled engineers resonates with this objective and stays at the core of every project. Here’s what makes ESPL a great place for engineers.

Advanced Engineering Challenges

Addressing and resolving engineering challenges is one of the factors defining our existence. With us, you will have the opportunity to solve complex problems in fields like Model-Based System Engineering (MBSE), AI-driven Data Engineering, and E-Powertrain development for global automotive brands. Are you game for it?

Professional Development

We prioritize continuous learning to keep our engineers at the forefront of technology and innovation. That’s one reason our engineers consistently deliver competent solutions.

Collaborative Culture

At ESPL, we value collaborations and nurture a culture that drives inter-team collaborations. We boast a team-oriented workplace where you get the opportunity to work with top and seasoned engineers.

Please send your profile at [email protected]

Multi-Body System Simulation Engineer

Key Responsibilities

• Perform multi-body dynamics (MBD) simulations using Simpack or Adams to analyze the behavior of mechanical systems, including automotive components, machinery, and suspension systems.
• Develop, test, and validate dynamic models of complex mechanical systems, including modeling kinematics, dynamics, and vibrations.
• Conduct system-level analysis, including load analysis, motion analysis, and component interactions, to improve system performance and durability.
• Analyze simulation results, identify potential improvements, and provide recommendations to enhance product design, performance, and safety.
• Prepare detailed technical reports and presentations to communicate findings and recommendations to clients and stakeholders.

Qualifications

• Experience: 3-5 years of relevant experience.
• Education: Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering,
• Technical Skills:
  • Proficiency in Simpack or Adams for multi-body dynamics simulations.
  • Strong understanding of mechanical system dynamics, kinematics, and vibrations.
  • Experience with system-level simulations for automotive, machinery, or suspension systems.
  • Familiarity with model validation, sensitivity analysis, and optimization techniques.