What are the responsibilities and job description for the Robotics Simulation Engineer with Isaac Sim - Onsite position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cerebra Consulting Inc, is seeking the following. Apply via Dice today!
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
Hello,
Hope you are doing well,
Role: Senior Robotics Simulation Engineer
Location: Onsite in Warren, MI or Mountain View, CA.
About The Role
We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar. In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.
At GM's manufacturing technology development team, you'll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.
Key Responsibilities
Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts
Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds)
Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines
Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation
Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer
Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness
Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams
Required Qualifications
MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field
3 years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development
Proficiency with Isaac Sim, Omniverse, or similar simulation platforms
Strong programming skills in Python and C , with experience in simulation APIs and data annotation tools
Familiarity with 3D vision, sensor modeling, and domain randomization techniques
Experience integrating simulation outputs into ML pipelines for training and evaluation
Preferred Qualifications
Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2)
Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity)
Background in industrial automation, autonomous vehicles, or robotic manipulation
Publications or contributions in simulation, synthetic data, or robotics venues (e.g. ICRA, RSS, CVPR)
Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker
Thanks,
Sudhanshu Srivastava
Email -
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
Hello,
Hope you are doing well,
Role: Senior Robotics Simulation Engineer
Location: Onsite in Warren, MI or Mountain View, CA.
About The Role
We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar. In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.
At GM's manufacturing technology development team, you'll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.
Key Responsibilities
Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts
Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds)
Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines
Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation
Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer
Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness
Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams
Required Qualifications
MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field
3 years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development
Proficiency with Isaac Sim, Omniverse, or similar simulation platforms
Strong programming skills in Python and C , with experience in simulation APIs and data annotation tools
Familiarity with 3D vision, sensor modeling, and domain randomization techniques
Experience integrating simulation outputs into ML pipelines for training and evaluation
Preferred Qualifications
Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2)
Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity)
Background in industrial automation, autonomous vehicles, or robotic manipulation
Publications or contributions in simulation, synthetic data, or robotics venues (e.g. ICRA, RSS, CVPR)
Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker
Thanks,
Sudhanshu Srivastava
Email -