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Home Based Robotic Simulation Engineer Jobs (NOW HIRING)

JR Automation

Simulation Engineer

Lake Orion, MI · On-site +1

Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ... Some travel required and willingness to commit to extended travel periods for project-based work ...

New

Hitachi, Ltd.

Simulation Engineer

Holland, MI · On-site

Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ... Some travel required and willingness to commit to extended travel periods for project-based work ...

Hitachi

Simulation Engineer

Holland, MI · On-site +1

Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ... Some travel required and willingness to commit to extended travel periods for project-based work ...

Hitachi, Ltd.

Simulation Engineer

Lake Orion, MI · On-site

Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ... Some travel required and willingness to commit to extended travel periods for project-based work ...

Humble Robotics

Simulation Engineer

San Francisco, CA · On-site

About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground ... vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit ...

Hitachi

Simulation Engineer

Holland, MI · On-site +1

Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ... Some travel required and willingness to commit to extended travel periods for project-based work ...

Mytra

Senior Robotics Simulation Engineer

Brisbane, CA · On-site

$190K - $200K/yr

... Engineer to build and own the simulation platform for the entire robotics software stack. This ... Compensation for this position will be set based on the candidate's experience level and location.

Hitachi

Simulation Engineer

Holland, MI · On-site +1

Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ... Some travel required and willingness to commit to extended travel periods for project-based work ...

Skild AI

Simulation Engineer

San Mateo, CA · On-site

Position Overview We are seeking talented simulation engineers to create expansive simulated worlds to scale up robotic experience. You will have a dual focus: designing high-level virtual ...

UnitX

Simulation Engineer

Milpitas, CA · On-site

Required : • Bachelor's degree in Computer Science, Robotics, Engineering, or a related field ... on simulation (e.g., robotic digital twins, autonomous vehicles, UAV systems, or AAA video games ...

1X Technologies AS

Simulation Engineer

San Carlos, CA · On-site

$119K - $253K/yr

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots ... As a Simulation Engineer at 1X Technologies, you will lead thermal and multi-body structural ...

1X Technologies AS

Simulation Engineer

San Carlos, CA · On-site

$119K - $203K/yr

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots ... As a Simulation Engineer at 1X Technologies, you will lead thermal and multi-body structural ...

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How much do home based robotic simulation engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for home based robotic simulation engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Home Based Robotic Simulation Engineer, and why are they important?

A Home Based Robotic Simulation Engineer typically requires a background in robotics, computer science, or engineering, with strong programming skills in languages such as Python or C++. Familiarity with simulation tools like ROS (Robot Operating System), Gazebo, or MATLAB Simulink, and relevant certifications in robotics or automation are highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in a virtual work environment. These competencies are crucial for developing accurate robotic simulations, collaborating with remote teams, and delivering innovative automation solutions.

How does a Home Based Robotic Simulation Engineer typically collaborate with on-site engineering teams and clients?

A Home Based Robotic Simulation Engineer often works remotely but remains highly connected to both on-site engineering teams and clients through regular video meetings, screen sharing, and collaborative project management tools. They contribute by developing and testing robotic simulations, then sharing results and updates for review and feedback. Effective communication and documentation are crucial, as is the ability to troubleshoot issues remotely and align with the broader project goals. This collaborative approach ensures that simulation models are accurate and meet client specifications, while also supporting seamless integration with physical robotics systems.

What are Home Based Robotic Simulation Engineers?

Home Based Robotic Simulation Engineers are professionals who design, develop, and test robotic systems using simulation software, all while working remotely from their homes. They create virtual models of robotic equipment or processes to analyze performance, troubleshoot issues, and optimize designs before actual implementation. This role typically involves using specialized simulation tools, collaborating with cross-functional teams online, and ensuring that robotic solutions meet technical and operational requirements.
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Home Based Robotic Simulation Engineer jobs near you
Senior Simulation Engineer

Senior Simulation Engineer

EPAM Systems

Mountain View, CA

Other

Posted 28 days ago

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.

This will be an on-site position, working alongside our client in Mountain View, CA. Req#: 906141765 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 Requirements 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, Google Cloud Platform) 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

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