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Simulation Engineer

$170k - $400k
Full-time

Noble Machines

Simulation Engineer

Sunnyvale CA Full-time Onsite

About Noble Machines

Noble Machines builds multipurpose robots to support human workers in the worlds toughest jobsturning dangerous work from a necessity into a choice. Our work demands reliability robustness and readiness for the unexpectedon time every time. Were assembling a mission-driven team focused on delivering real impact in heavy industry from construction and mining to energy. If youre driven to build rugged reliable products that solve real-world problems wed love to talk.

Position Overview

Build accurate efficient digital twins of robots objects and industrial environments for robot learning data generation and policy evaluation. Own simulation assets environment performance and measurement of the sim-to-real gap in physical interaction and perception.

Responsibilities

  • Build simulation-ready robot parts tools and scenes from CAD descriptions and scanned or reconstructed scenes. Create reusable assets with consistent scale coordinate frames and structure.
  • Develop collision representations that preserve task-critical geometry and contact behavior. Choose and tune mesh simplification convex decomposition and primitive approximations to balance accuracy stability and computation.
  • Own measurement of the physical sim-to-real gap. Design matched hardware and simulation tests quantify differences in motion and contact behavior and use the results to calibrate mass inertia friction and collision models. Work with hardware and robotics engineers to collect reference measurements and track improvements.
  • Own measurement of the perception sim-to-real gap. Compare rendered and real camera observations under matched viewpoints and conditions and work with learning and evaluation engineers to quantify the effect on downstream perception or policy performance. Use the findings to guide visual meshes materials textures lighting and camera configuration.
  • Profile physics and rendering separately. Optimize geometry and texture budgets asset reuse instancing memory use scene loading and simulation throughput while maintaining numerical stability and preserving details that affect robot interaction or visual learning.
  • Develop programmable task environments scene variations randomization and reset logic for training data generation and evaluation. Integrate them with the learning and evaluation teams pipelines.
  • Automate asset import conversion and validation. Review and improve externally supplied assets and maintain reproducible scenes that teammates can use and extend.

Requirements

  • Experience building digital twins simulation assets or physically interactive environments for robotics industrial simulation or comparable applications.
  • Practical understanding of collision detection and contact modeling including how collision geometry physical parameters and solver settings affect behavior stability and performance.
  • Experience optimizing 3D assets and scenes for runtime use including mesh complexity materials textures rendering cost and memory consumption.
  • Hands-on experience with Isaac Sim Omniverse MuJoCo or a comparable physics-based simulation platform. Familiarity with USD and robot descriptions such as URDF or equivalent formats and workflows.
  • Solid understanding of 3D geometry coordinate transforms rigid-body dynamics and articulated systems with the ability to diagnose incorrect geometry inertial properties joint configuration and contact behavior.
  • Working understanding of how simulation supports robot learning and evaluation and the judgment to choose the level of visual and physical fidelity a task needs.

Especially relevant experience

  • Contact-rich manipulation grasping articulated mechanisms or robotics simulation.
  • Isaac Lab PhysX scene generation or synthetic data pipelines with configurable cameras and annotations.
  • CAD conversion photogrammetry scene reconstruction or asset processing with Blender Houdini or similar tools.
  • Simulation used for imitation learning or reinforcement learning including randomized environments and parallel rollouts.

How to apply

Share your resume and up to two representative simulation projects asset pipelines or interactive demonstrations. Describe the parts you owned how you validated physical or visual fidelity and a performance tradeoff you measured. Examples that show collision geometry and runtime behavior alongside the visual result are especially useful. Apply through our job board or email

California Pay Transparency Statement

Pay Transparency & Compensation In accordance with Californias Pay Transparency Act (SB 1162) the expected base salary range for this position located in Sunnyvale CA is $170000 - $400000 in addition to bonus equity and benefits.

Actual compensation within this range will be determined based on several factors including the candidates qualifications relevant experience technical skills and specialized expertise. Base salary is just one component of Noble Machines total rewards package which may also include equity options comprehensive healthcare benefits retirement plan contributions and performance-based incentives.

Equal Opportunity Employer

Noble Machines is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs job requirements and individual qualifications without regard to race color religion sex sexual orientation gender identity national origin veteran status disability status or any other status protected by applicable federal state or local laws.

Required Experience:

IC

Vacancy posted 15 hours ago
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