5.0 - 10.0 years

0 Lacs

vapi, gujarat, india

On-site

Job Title: Simulation Expert (Sim/Middleware) Location: Vapi, Gujarat Employment Type: Full-Time Overview We are seeking an experienced **Simulation Expert (Sim/Middleware)** to own photorealistic and physics-accurate simulation, scenario generation, and CI-at-scale evaluations. This role will involve developing, maintaining, and optimizing simulation stacks for robotics testing, validation, and deployment readiness across multiple domains including humanoids, AGVs, cars, and drones. Key Responsibilities Deploy and manage simulation stacks such as Isaac Sim, Unity, Unreal Engine, Gazebo, and MuJoCo; support both HIL and SIL. Design and implement scenario generators, rare-event sampling, and domain randomization techniques. Develop and calibrate sensor models (camera, LiDAR, radar, IMU, GPS) with precise timing and synchronization. Build log-replay and closed-loop evaluation harnesses with KPI measurement. Must-Haves 510+ years of experience in simulation for robotics or autonomous systems. Strong proficiency in C++ and Python programming. Hands-on experience with robotics middleware (ROS 2) and containerization. Expertise in large-scale data I/O pipelines and deterministic builds. Nice-to-Haves Experience with digital twins and fleet-in-the-loop simulations. Background in generating synthetic data for VLM and Perception systems. Success Metrics Reduction of sim-to-real performance gaps. Breadth and depth of scenario coverage. Simulation throughput (runs/day). Cost efficiency per run. Domain Notes Humanoids: - Manipulation physics, friction, and contact modeling. AGVs (Autonomous Ground Vehicles): - Warehouse digital twins and traffic rule simulation. Cars: - Adversarial traffic agents; weather and lighting variability sweeps. Drones: - Wind and turbulence modeling; RF/GNSS effect simulation. Application Instructions Interested candidates may apply by sending their resume and cover letter to [HIDDEN TEXT] with the subject line: Simulation Expert Application. Show more Show less

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