Member of Technical Staff, Simulation

Brahma Consulting Group; New York (NY); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Brahma Consulting Group is seeking a Member of Technical Staff (Simulation) in the United States to own customer system onboarding for multi-modal robotic systems. You will translate real-world robots and environments into validated digital twins with physics-based fidelity.

Reporting to the CTO, you will build high-fidelity sensor models, calibrate physics-based simulations, and work with telemetry to push fidelity toward near-100% accuracy, while developing scalable Python tooling and

Competenze

• 5+ years of professional robotics/hardware simulation experience (or PhD/research credentials in Sim2Real / Robot Learning).
• Degree in Robotics, Computer Science, Mechatronics, Mechanical, or Electrical Engineering.

Mansioni

• End-to-End System Onboarding: Own the full pipeline of ingesting physical robots, complex environments, and sensor configurations into our cloud simulation engine.
• Sensor & Physics Calibration: Build, tune, and calibrate physics-based simulation models for diverse sensing modalities (cameras, LiDAR, Radar, UV, thermal/IR) from first principles.
• Sim-to-Real Validation: Define test suites and quantitative benchmarks to validate simulation fidelity against real-world hardware telemetry.
• Tooling & Automation: Architect high-performance internal tools and automation scripts in Python to make system onboarding repeatable and scalable.
• Direct Customer Technical Integration: Collaborate with autonomy teams to tune edge-case behaviors and bring digital twins to production grade.

Conoscenze

Python Proficiency

C++

Robotics simulation

System onboarding

Formazione

B.S. in Robotics/CS/Mechatronics/EE

Strumenti

NVIDIA Isaac Sim

Omniverse

Isaac Lab

MuJoCo

Gazebo

Descrizione del lavoro

As a Member of Technical Staff (Simulation), you will be a foundational engineer owning customer system onboarding end-to-end. You will take ambiguous, real-world robotic systems, environments, and multi-modal sensors and translate them into validated, physics-based digital twin simulations.

Reporting directly to the CTO, you will build high-fidelity sensor models from first principles and work directly with physical robot telemetry to bring simulation fidelity to near-100% accuracy.

Key Responsibilities

• End-to-End System Onboarding: Own the full pipeline of ingesting physical robots, complex operational environments, and sensor configurations into our cloud simulation engine.
• Sensor & Physics Calibration: Build, tune, and calibrate physics-based simulation models for diverse sensing modalities (cameras, LiDAR, Radar, UV, thermal/IR) from first principles.
• Sim-to-Real Validation: Define test suites and quantitative benchmarks to validate simulation fidelity against real-world hardware telemetry.
• Tooling & Automation: Architect high-performance internal tools and automation scripts in Python to make system onboarding repeatable and scalable.
• Direct Customer Technical Integration: Collaborate hands-on with autonomy teams to tune edge-case behaviors and bring digital twins to production grade.

What We’re Looking For

• Deep Robotics Simulation Ownership: Proven track record building, calibrating, and validating physics-based simulations against real hardware.
• Simulation Frameworks: Hands-on experience with NVIDIA Isaac Sim / Omniverse / Isaac Lab (strongly preferred), or extensive depth in MuJoCo or Gazebo.
• Python Proficiency: Strong Python skills for tooling, automation, data analysis, and calibration scripts.
• Experience & Credentials: 5+ years of professional robotics/hardware simulation experience (or PhD/research credentials in Sim2Real / Robot Learning from a top-tier lab).
• Education: Degree in Robotics, Computer Science, Mechatronics, Mechanical, or Electrical Engineering.
• Nice-to-Haves: Low-level programming in C++ or Rust; experience with non-visible sensing modalities (radar, LiDAR, thermal/IR).