Senior Simulation Engineer W2 Role

Mountain View, CA - USA

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Senior Simulation Engineer

Location: Mountain View CA (Hybrid Onsite)

Job Type: W2 Contract

Job Description:

We are seeking a highly skilled Senior Simulation Engineer to own and accelerate our synthetic data generation capabilities.
This role is crucial for bridging the gap between our high-fidelity simulation environment and our production ML models.
You will be responsible for architecting implementing and maintaining the entire simulation-to-data pipeline ensuring a consistent and massive flow of quality training data.

Key Responsibilities:

Simulation Acceleration & Data Collection: Directly utilize expertise in NVIDIA Isaac Sim to design script and optimize simulation scenarios specifically tailored to generate high-quality diverse data for VLA (Vision-Language Alignment) and NOVA model training objectives.
Pipeline Architecture: Design build and maintain robust scalable pipelines for CAD ingestion scene creation sensor emulation and data processing within the Isaac Sim framework.
Synthetic Data Management: Implement and manage advanced auto-annotation tools within the simulation environment to rapidly label complex sensory data (e.g. 3D bounding boxes semantic segmentation depth maps) for supervised learning.
Environment Maintenance: Take ownership of setting up configuring and maintaining the simulation environment (including hardware/software dependencies GPU utilization and headless operation) to ensure reliable large-scale parallel execution.
Cross-Functional Support: Collaborate closely with the Machine Learning Engineering team to analyze data gaps iterate on simulation parameters and ensure the synthetic data distribution matches the necessary complexity and variability of real-world deployment.
Performance Tuning: Profile and optimize simulation execution speed to maximize data throughput essential for rapid iteration cycles in model tuning.

Required Qualifications:

Expertise in Simulation: 3 years of hands-on experience with NVIDIA Isaac Sim (or a comparable high-fidelity physics simulator like Unity/Unreal used for robotics).
Programming Proficiency: Expert-level proficiency in Python for scripting automation data pipeline construction and tool development.
Robotics Fundamentals: Strong understanding of robotics kinematics sensor physics (LIDAR RGB-D cameras IMU) and their accurate representation in simulation.
ML Data Pipeline Experience: Proven experience setting up automated data collection pipelines for Deep Learning projects including experience with data versioning and metadata management.
CAD/3D Workflow: Familiarity with 3D assets CAD formats and procedural generation techniques to create complex virtual scenes.

Preferred Qualifications:

Familiarity with VLA/NOVA model architectures or similar foundation models in robotics.
Experience with cloud computing environments (AWS Azure GCP) for scaling simulation jobs.
Familiarity with other robotics simulation/middleware like ROS/ROS 2.
Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SITL) testing methodologies.

Role: Senior Simulation Engineer Location: Mountain View CA (Hybrid Onsite) Job Type: W2 Contract Job Description: We are seeking a highly skilled Senior Simulation Engineer to own and accelerate our synthetic data generation capabilities. This role is crucial for bridging the gap between o...