ZipRecruiter

Log In

1

Virtual Robotics Engineer Jobs in Fremont, CA (NOW HIRING)

Skild AI

Simulation Engineer

San Mateo, CA

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 ...

Menlo Ventures

Simulation Engineer

San Mateo, CA · On-site

$100 - $300/hr

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 ...

next page

Showing results 1-20

All JobsRobotics Engineer JobsVirtual Robotics Engineer JobsVirtual Robotics Engineer Jobs in Fremont, CA

Virtual Robotics Engineer information

See Fremont, CA salary details

$31.7K

$115.6K

$185K

How much do virtual robotics engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for virtual robotics engineer in Fremont, CA is $115,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a virtual robotics engineer?

Virtual robotics engineers are professionals who design, develop, and test robotic systems using virtual simulation environments. Instead of building physical robots, they use specialized software to model, program, and analyze robot behavior in a digital space. This allows for rapid prototyping, troubleshooting, and optimization before any physical construction occurs. Virtual robotics engineers often work in fields like automation, manufacturing, artificial intelligence, and research, ensuring that robotic systems function as intended before real-world deployment.

What are the key skills and qualifications needed to thrive as a virtual robotics engineer, and why are they important?

To thrive as a Virtual Robotics Engineer, you need strong proficiency in robotics principles, programming (such as Python, C++, or ROS), and a relevant engineering degree. Familiarity with simulation tools like Gazebo, V-REP, or Unity, along with experience using CAD software and version control systems, is typically required. Excellent problem-solving, collaboration, and adaptability are crucial soft skills for excelling in virtual team environments and tackling complex tasks. These skills and qualifications are essential for designing, testing, and deploying effective robotic solutions in a virtual setting, ensuring both innovation and reliability.

What are some typical challenges faced by virtual robotics engineers when collaborating remotely with cross-functional teams?

Virtual Robotics Engineers often work with diverse teams including software developers, hardware engineers, and project managers, many of whom may be distributed across different locations. A common challenge is ensuring clear communication and alignment on project requirements, especially when integrating virtual simulations with real-world robotics systems. To address this, engineers frequently use collaborative tools, maintain thorough documentation, and participate in regular sync meetings. Fostering strong teamwork and proactively clarifying technical details can help minimize misunderstandings and keep projects on track.

What is the difference between Virtual Robotics Engineer vs Robotics Software Developer?

AspectVirtual Robotics EngineerRobotics Software Developer
Required CredentialsBachelor's in Robotics, Computer Science, or related; certifications in robotics or programmingBachelor's in Computer Science, Robotics, or related; programming certifications
Work EnvironmentRemote or on-site, designing and testing virtual robotics systemsPrimarily software development, often remote or on-site
Employer & Industry UsageRobotics companies, research labs, tech firmsTech companies, startups, research institutions
Common Search & ComparisonYesYes

The Virtual Robotics Engineer focuses on designing, testing, and simulating robotics systems in virtual environments, often requiring knowledge of robotics hardware and simulation tools. In contrast, a Robotics Software Developer primarily writes and maintains software for robotics applications, emphasizing programming skills. Both roles often overlap in skills and industry usage but differ in their core responsibilities and work environments.

Can a virtual robotics engineer work remotely?

Yes, virtual robotics engineers can often work remotely, especially if their role involves designing software, programming, simulation, or remote collaboration. However, some tasks may require on-site presence for hardware setup, testing, or maintenance, depending on the company's policies and project requirements.

Is there a high demand for virtual robotics engineers?

Virtual robotics engineers are in growing demand as industries increasingly adopt automation, simulation, and remote development tools. Skills in robotics programming, CAD, and simulation software like ROS or Gazebo enhance employability in this expanding field.

What are the most commonly searched types of Robotics Engineer jobs in Fremont, CA?

The most popular types of Robotics Engineer jobs in Fremont, CA are:

What are popular job titles related to Virtual Robotics Engineer jobs in Fremont, CA?

For Virtual Robotics Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Virtual Robotics Engineer jobs in Fremont, CA look for?

The top searched job categories for Virtual Robotics Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Virtual Robotics Engineer jobs?

Cities near Fremont, CA with the most Virtual Robotics Engineer job openings:

Virtual Robotics Engineer jobs near you

Machine Learning Engineer (Robotics / Embodied AI)

Avatar Robotics

San Francisco, CA • On-site

Full-time

Re-posted 11 days ago

Job description


Overview
We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities.
What we do
Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous.
With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where billions of machines make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes.
At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone).
We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide.
What you'll do
  • Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots.
  • Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback).
  • Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems.
  • Deploy trained models to edge compute devices with real-time inference constraints.
  • Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack.
What you bring
  • 3+ years of hands-on ML experience, preferably in robotics, computer vision, or embodied AI.
  • Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models.
  • Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems.
  • Proficiency with computer vision techniques (object detection, segmentation, point cloud processing).
  • Understanding of robotics fundamentals (kinematics, control theory, sensor fusion).
  • Strong Python skills and experience with ML libraries.
  • Bonus: Experience with Vision-Language-Action models, foundation models, or deploying models to edge devices.
Additional Notes
  • Our team develops on physical robots in person-expect hands-on testing and debugging
  • Need to be located or willing to relocate to San Francisco, CA
  • Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet

Come join us in building a new global economy, where anyone can do manual work remotely and with robo-scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth.

Apply