Simulation Engineer

Office in United States of America:
Mountain View

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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. This will be an on-site position, working alongside our client in Mountain View, CA.

Req#:

• 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

• 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
• 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

• Health benefits:
  
  High Deductible Health Plan with an attached HSA (Health Savings Account) which includes Pharmacy coverage, after 60 days from start of employment
• Condition Management resources
• Family Planning resources
• Vision Plan

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations.

Most candidates are hired at a salary within the range disclosed. Salary range: $85,000 - $160,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applicants and Employees in Unincorporated Los Angeles County:
The Los Angeles Fair Chance Ordinance (LAFCO) requires employers conducting criminal history checks for applicants or employees to state the job duties for which certain criminal history may have a direct, adverse and negative relationship. For this position, these job duties include:…