JOB DESCRIPTION CAD and Simulation Engineer Product Design, Digital Simulation and AI Environments Location: New Delhi Employment Type: Full-time Experience Level: 2-4 Years Department: Engineering / Mechanical Design & Simulation Role Purpose The engineer will convert product and system requirements into manufacturable mechanical designs and credible digital models. The position requires practical ownership of CAD, design for manufacture, structural and fluid analysis, simulation validation, AI training environments, and simulator integration with hardware, firmware, controls, and autonomy teams. Key Responsibilities • Mechanical CAD: Create parametric parts, assemblies, mechanisms, enclosures, mounts, frames, fixtures, and production drawings with controlled revisions and clear design intent. • Prototype design: Design parts for additive manufacturing, machining, sheet fabrication, and rapid assembly while accounting for tolerances, supports, orientation, finishing, and iteration speed. • Production design: Develop parts for injection moulding and other scalable processes, including draft, wall thickness, ribs, bosses, undercuts, parting lines, ejector access, tooling constraints, and assembly features. • Engineering definition: Apply material selection, geometric dimensioning and tolerancing, tolerance-stack analysis, fastening, sealing, surface finish, fit, and serviceability requirements. • Structural simulation: Perform finite-element analysis for stress, strain, displacement, contact, buckling, fatigue, vibration, thermal stress, safety factors, and stress-relief design features. • CFD and thermal analysis: Model airflow, pressure drop, cooling, heat transfer, fluid forces, and environmental conditions; refine mesh, boundary conditions, and assumptions to support design decisions. • Simulation validation: Define load cases, simplify geometry responsibly, assess convergence and sensitivity, compare results with calculations or tests, and document model limits. • AI training environments: Build physically credible 3D scenes in Unreal Engine, NVIDIA Isaac Sim, or similar platforms with terrain, lighting, materials, collision, sensors, assets, scenarios, and synthetic-data outputs. • System simulator development: Create software-in-the-loop and hardware-in-the-loop simulators that model vehicle, robotic, sensor, actuator, communication, environmental, and operator behavior. • Cross-functional delivery: Work with mechanical, electronics, firmware, controls, autonomy, testing, manufacturing, and field teams to review interfaces, resolve faults, and maintain shared models and evidence. Core Technical Areas Area Expected Knowledge and Application CAD modelling Parametric solid and surface modelling, large assemblies, mechanisms, configurations, design tables, drawing release, revision control, and CAD data exchange. Manufacturing design Design for additive manufacturing, machining, sheet fabrication, injection moulding, assembly, tooling, inspection, maintenance, and cost-effective production. Mechanical definition Materials, fits, fasteners, seals, geometric tolerances, datum schemes, tolerance stacks, surface finishes, clearances, and interface control. Structural FEA Meshing, contacts, constraints, load cases, linear and nonlinear response, stress and strain, deflection, buckling, fatigue, vibration, and result validation. CFD and thermal Fluid domains, turbulence models, heat transfer, rotating or moving regions, pressure loss, cooling performance, mesh independence, and correlation with tests. AI environments Unreal Engine and Isaac Sim scene construction, USD assets, materials, collision, sensor models, synthetic data, domain randomization, and ground-truth generation. System simulation Real-time physics, vehicle or robot dynamics, actuator and sensor models, scenario control, telemetry, software-in-the-loop, hardware-in-the-loop, and operator interfaces. Programming and tools Python and C++ for simulation logic, automation, data processing, integration, and test tooling, together with real-time platform scripting or visual scripting. Requirements Required Qualifications • Bachelor's degree or diploma in Mechanical Engineering, Mechatronics, Aerospace Engineering, Automotive Engineering, Robotics, Simulation Engineering, or a closely related discipline. • Demonstrated experience creating production-quality 3D CAD models, assemblies, drawings, and revision-controlled mechanical design packages. • Practical understanding of both rapid-prototyping methods and production-scale manufacturing, particularly additive manufacturing and injection moulding. • Experience performing structural FEA and CFD or thermal analysis, including model setup, meshing, boundary conditions, convergence checks, interpretation, and reporting. • Ability to select materials, define fits and tolerances, read engineering drawings, and design reliable interfaces with electronic, electromechanical, and structural components. • Experience building or integrating interactive 3D environments, real-time simulations, or engineering visualizations in Unreal Engine, Isaac Sim, or a comparable platform. • Working ability in Python or C++ and disciplined use of source control, issue tracking, technical documentation, and design review. Preferred Experience • Mechanical design for unmanned vehicles, drones, robotics, defence, aerospace, automotive, industrial, or other reliability-sensitive systems. • Experience with vibration, modal, fatigue, impact, nonlinear contact, thermal-stress, conjugate heat-transfer, or rotating-flow simulations. • Tooling reviews, mould-flow awareness, production supplier coordination, first-article inspection, tolerance studies, and design changes based on manufacturing feedback. • Use of URDF, SDF, USD, robot kinematics, actuator models, sensor models, and interfaces to autopilot or control software. • Synthetic-data generation, domain randomization, photorealistic rendering, camera and LiDAR simulation, annotation pipelines, or simulation-based AI validation. • Real-time simulation experience involving Unreal C++, Blueprints, Unity, physics systems, environment and asset optimization, collision, animation, user interfaces, networking, or scenario editors. • Development of simulators with software-in-the-loop or hardware-in-the-loop integration, real-time telemetry, fault injection, replay, and performance measurement.