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Home Based Robotic Simulation Engineer Jobs in New York

PhysicsX

Principal CFD Engineer

Manhattan, NY · On-site

$100 - $130/hr

You're confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement. Note: Due to the nature of our ...

Momentum Power

Robotics AI Engineer

Manhattan, NY · On-site

$115K/yr

... SDKs, and simulation environments, with real software-engineering practice. • Develop ... robotic, autonomous, or remotely operated systems outside purely academic software environments ...

New

LG Electronics

Embodied AI Engineer

Englewood Cliffs, NJ · On-site

$150K - $210K/yr

Building data pipelines for robot learning (simulation, teleoperation, generative data augmentation ... Performance based Short-Term Incentives (varies by role). * Access to confidential mental health ...

Jerseydigs

Embodied AI Engineer

Englewood Cliffs, NJ · On-site

$150 - $210/hr

Building data pipelines for robot learning (simulation, teleoperation, generative data augmentation ... Performance based Short-Term Incentives (varies by role). * Access to confidential mental health ...

New York University

Research Scholar

New York, NY · On-site

$48K - $62K/yr

Robot Simulation: Train and deploy models within a simulated robot environment. * Exceptional ... Qualifications Candidates should have a Masters in Mechanical Engineering or a degree in a related ...

Aaru

Product Engineer

New York, NY · On-site

$200K - $600K/yr

Each simulation contains a population of AI agents, each representing a person who could plausibly ... are based on evidence rather than anecdotes. * Own the operational quality of what you ship ...

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Home Based Robotic Simulation Engineer information

What is a home based robotic simulation engineer?

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.

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 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.

What are the most commonly searched types of Robotic Simulation Engineer jobs in New York?

The most popular types of Robotic Simulation Engineer jobs in New York are:

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For Home Based Robotic Simulation Engineer jobs in New York, the most frequently searched job titles are:

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Home Based Robotic Simulation Engineer jobs near you

Embodied AI Engineer

LG Electronics

Englewood Cliffs, NJ • Hybrid

Full-time

Re-posted 10 days ago

LG Electronics rating

7.1

Company rating: 7.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

114th of 160 rated electronics manufacturers

Job description

About the Team - LG's Emerging Technology Lab

LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG's CTO organization. Located in the Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value.

 

About the Position - Embodied AI Engineer

We are seeking an exceptional Embodied AI Engineer to build the foundation of LG's vision of the Zero-labor Home. This hybrid role offers a unique opportunity to design, build, and scale the technology and tooling that turn generalist robot intelligence into deployable capability on next-generation LG home robot platforms. You will work at the frontier of embodied AI engineering, building the infrastructure, pipelines, and training systems that let research ideas run at scale and ship into real products used by millions.

What You Will Do

  • Implement, debug, and optimize model architectures (VLA, diffusion/flow-matching policies, world models) taking them from prototype to reliable and reproducible systems.
  • Build and maintain scalable training and evaluation infrastructure for Robot Foundation Models and on-robot deployment stacks.
  • Architect and operate large-scale data pipelines that combine high-fidelity simulation, generative AI, teleoperation, and real-world data collection to fuel model training.
  • Work hands-on with robot hardware to bring up new platforms, debug real-world failures, and close the loop between simulation and deployment.
  • Collaborate with global research teams and hardware partners to integrate embodied AI systems into LG's consumer ecosystem, and contribute engineering input to technical roadmaps.

Why This Opportunity Is Unique

  • Operate at the intersection of frontier AI research and large-scale consumer deployment, where systems you build carry algorithms directly from prototype to product.
  • Take ownership of core infrastructure and tooling that the broader research org depends on and contribute with measurable impact.
  • Engage with leading industry, university, and startup teams to co-develop hardware-software systems and validate them in real-world conditions.

Expected Qualifications

  • Bachelor's degree and 5+ years of relevant industry and/or research experience, or Master's degree and 3+ years of relevant industry and/or research experience, in Computer Science, Mechanical Engineering, Electrical Engineering, or a related technical field. PhD preferred but not required.
  • Strong software engineering proficiency in Python or C++, experience working across the full stack from data pipeline to deployed model.
  • Hands-on experience with one or more of the following:
    • Training and deploying Robot Foundation Models (e.g., VLA, diffusion/flow-matching policies for manipulation or locomotion)
    • Building data pipelines for robot learning (simulation, teleoperation, generative data augmentation)
    • Developing and maintaining robot system infrastructure for robot manipulators or mobile robots, RGB/Depth cameras, FT/tactile sensors
  • Excellent written and verbal communication skills, with the ability to work closely with research scientists and translate ideas into shipped systems.

 

Nice-to-Have

  • Familiarity with the robot learning research literature (world models, spatial intelligence, learning from demonstration) sufficient to collaborate closely on architecture decisions.
  • Contributions to open-source robotics or ML infrastructure tooling.

Please note: the compensation range is dependent on experience and location.

#LI-JH1  #LI-Hybrid

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