Simulation Engineer

IIT Mandi Ihub And Hci Foundation

Mandi

On-site

INR 609,000 - 730,000

Full time

4 days ago
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Job summary

IIT Mandi Ihub And Hci Foundation is seeking a Simulation Engineer to build the virtual side of our multimodal pipeline. You will develop digital twins, run physics-based simulations, and contribute to 3D reconstruction and robotics simulation using NVIDIA stack.

Ideal candidates have 2–4 years post-degree experience, strong Python, and familiarity with environments like NVIDIA Isaac Sim, MuJoCo, Gazebo, and OpenUSD. This role is based in India with on-site lab work.

Qualifications

  • M.Tech or M.E. preferred; B.Tech with strong portfolio also welcome.
  • 2 to 4 years of post-degree experience.
  • Experience in simulation across mechanical, physics, electronics or software domains.
  • Proficient in Python; comfortable with C++ or CUDA.
  • Experience with NVIDIA ecosystem and modern simulation environments.

Responsibilities

  • Build digital twins of factory cells and scenes from MI-RA data.
  • Set up robotics and human-in-the-loop simulations and conduct sim-to-real experiments.
  • Perform 3D reconstruction using Gaussian Splatting, NeRF variants, and neural methods.
  • Wiring real-time and batch data pipelines from lab sensors into the simulator.
  • Validate synthetic data with temporal alignment, calibration, and anomaly checks.
  • Package work as reusable services and document for reuse by others.

Skills

Finite Element Analysis
Computational Fluid Dynamics
Multiphysics simulation
Discrete-Event Simulation
Robotics simulation
Process control simulation
Circuit/VLSI simulation
Digital twin development
Python
C++
CUDA
NVIDIA Isaac Sim
MuJoCo
Gazebo
Ansys
COMSOL
Unity
Unreal
Linux
Docker
Git
PyTorch/JAX

Education

M.Tech / M.E. preferred
B.Tech with strong portfolio

Tools

NVIDIA Isaac Sim
NVIDIA Isaac Lab
MuJoCo
Gazebo
Ansys
COMSOL
Unity
Unreal
Linux
Docker
Git

Job description

The Role

MI-RA (Multimodal Intelligence for Real-World Applications) Lab at iHub is one of India's most complete synchronized multimodal capture and compute labs: a 16-camera volumetric rig, OptiTrack motion capture, LiDAR, mmWave radar, an anechoic audio array, and a full physiological suite, all bound to a single master clock. We turn that captured reality into digital twins, sim-to-real training data, and validated Physical AI for partners across healthcare, robotics, manufacturing, and mobility.

We are hiring a Simulation Engineer to build the virtual side of this pipeline. We seek candidates with experience in mechanical and physical simulation (Finite Element Analysis, Computational Fluid Dynamics , and multiphysics simulation), systems and process simulation (Discrete-Event Simulation, robotics simulation, and process control simulation), or electronics and software simulation (Circuit/Very Large-Scale Integration (VLSI) simulation, digital twin development, and physics-based simulation).

The role will involve building digital twins, working on physics simulation, 3D reconstruction, robotics simulation, and the engagement in NVIDIA Physical AI stack.

Responsibilities:
  • Digital twins. Building digital twins of factory cells, clinical spaces, and outdoor scenes from MI-RA capture data, and keeping them in sync with the physical world.
  • Simulation and Sim-to-Real. Setting up robotics and human-in-the-loop simulations, running sim-to-real experiments, and measuring the gap between simulated and measured behaviour.
  • 3D reconstruction. Reconstructing scenes from multi-view video and sensor data (Gaussian Splatting, NeRF-family methods, neural reconstruction) and preparing them for downstream training.
  • Data plumbing. Wiring real-time and batch data pipelines from lab sensors, ROS 2, and industrial protocols into the simulator, with proper schema and provenance discipline.
  • Validation. Running validation on synthetic and generated data: temporal alignment, calibration, and anomaly checks so bad data does not poison downstream models.
  • Productization. Packaging your work as reusable services (containers, inference microservices), and documenting it so faculty, industry partners, and future team members can build on it.
Core Experience and Skills Required:
  • Experience in one or more areas of simulation, including in mechanical and physical simulation (Finite Element Analysis, Computational Fluid Dynamics , and multiphysics simulation), systems and process simulation (Discrete-Event Simulation, robotics simulation, and process control simulation), or electronics and software simulation (Circuit/Very Large-Scale Integration (VLSI) simulation, digital twin development, and physics-based simulation).
  • Strong Python; comfortable in C++ or CUDA when performance matters.
  • Practical experience with at least one modern simulation environment: NVIDIA Isaac Sim / Isaac Lab, MuJoCo, Gazebo, Ansys, COMSOL, Unity, or Unreal.
  • Working knowledge of the NVIDIA ecosystem (any subset of Isaac, Omniverse, OpenUSD, Cosmos, NuRec, PhysicsNeMo, NIM, Triton, or Holoscan), and a demonstrated habit of keeping up with new releases.
  • Foundations in rigid-body dynamics, coordinate frames, and 3D geometry; comfort with PyTorch or JAX for anything model-shaped.
  • The usual professional toolkit: Linux, Docker, Git, and a habit of writing tests and documentation without being asked.
Qualification

M.Tech / M.E. preferred; B.Tech with a strong portfolio equally welcome

2 to 4 years of post-degree experience.

Desirable Experience & Skills:
  • Prior work on a shipped digital twin in industry, healthcare, mobility, or infrastructure.
  • Hands-on with 3D Gaussian Splatting, NeRF variants, or differentiable rendering.
  • Experience with vision-language-action models, GR00T-style pipelines, MimicGen, or synthetic data generation at scale.
  • Familiarity with multi-view capture, camera calibration, or motion capture workflows.
  • Open-source contributions, publications at CVPR / ICRA / RSS / CoRL / SIGGRAPH, or NVIDIA-DLI certifications.
  • Exposure to regulated environments (medical devices, automotive, aerospace) where simulation supports evidence.
Renumeration:

Up to INR 60,000/- per month based on experience.

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