On-site
Full Time
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
• 5–10+ 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 parijat.patel@merai.co with the subject line: “Simulation Expert Application”.
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