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Virtual Robotics Engineer Jobs (NOW HIRING)

Research Engineer, Robotics Responsibilities: * Design and implement a custom compute renderer ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18 years of experience in ... Deep understanding of modeling, simulation, virtual testing, and hardware-in-the-loop validation ...

Engineer

Georgetown, KY · On-site

$38 - $42/hr

Conduct digital engineering (DE) studies to develop virtual robot programs and validate new model process feasibility. * Verify and maintain accuracy of Digital Factory conditions. * Create weld ...

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18 years of experience in ... Deep understanding of modeling, simulation, virtual testing, and hardware-in-the-loop validation ...

S. in Robotics, Mechatronics, Aerospace Engineering, or related field; 18+ years of experience in ... Deep understanding of modeling, simulation, virtual testing, and hardware-in-the-loop validation ...

www.offworld.ai Robotics Test & Integration Engineer Based in Pasadena, CA OffWorld is a robotics ... These testing and integration activities span virtual tests (e.g., simulation), subsystem and ...

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Virtual Robotics Engineer information

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$29K

$105.6K

$169K

How much do virtual robotics engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for virtual robotics 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.

Can a Robotics Engineer work remotely?

Robotics Engineers can often work remotely, especially in roles focused on software development, simulation, and design using tools like CAD and programming languages. However, positions requiring hands-on work with hardware, assembly, or testing may require on-site presence. Remote work availability depends on the employer and specific job responsibilities.

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.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, logistics, and research. Robotics engineers develop and maintain automated systems using skills in programming, sensors, and control systems, and demand for these professionals continues to increase as automation advances.

What engineers make $300,000 a year?

Senior robotics engineers, especially those with advanced skills in AI, machine learning, and automation, can earn $300,000 or more annually, often in leadership roles or specialized industries. High compensation typically requires extensive experience, advanced degrees, and expertise in designing complex robotic systems or managing large projects.

What are virtual robotics engineers?

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 engineers make $500,000?

Senior robotics engineers, especially those with advanced expertise in automation, AI, and machine learning, can reach or exceed a $500,000 annual salary, often in high-demand industries or senior leadership roles. Achieving this level typically requires extensive experience, specialized skills, and sometimes working in high-cost-of-living areas or for large technology companies.

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 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.

More about Virtual Robotics Engineer jobs
What cities are hiring for Virtual Robotics Engineer jobs? Cities with the most Virtual Robotics Engineer job openings:
What are the most commonly searched types of Robotics Engineer jobs? The most popular types of Robotics Engineer jobs are:
What states have the most Virtual Robotics Engineer jobs? States with the most job openings for Virtual Robotics Engineer jobs include:
Infographic showing various Virtual Robotics Engineer job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Research Engineer, Robotics

Research Engineer, Robotics

Meta

Remote

$219K/yr

Full-time

Posted 12 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

Reality Labs Research (Reality Labs Research) brings together a multidisciplinary and highly interdisciplinary team of researchers and engineers to create the future of dexterous robotic manipulation. We are seeking a senior staff Research Engineer to design and build a custom CUDA-based compute renderer for robotics. You will own this end-to-end — architecting and implementing a novel GPU rendering system that serves as the visual backbone for robot learning at scale. This is a deeply technical, hands-on IC role for someone who has built rendering systems before.
Research Engineer, Robotics Responsibilities:
  • Design and implement a custom compute renderer: Build a CUDA compute renderer supporting rasterization and ray tracing, optimized for high-throughput batch rendering on datacenter GPUs
  • Write high-performance GPU kernels: Develop and optimize kernels for core rendering operations including geometry processing, shading, light transport, and image synthesis
  • Produce ML-ready rendering outputs: Generate rendering outputs (RGB, depth, segmentation) suitable for direct consumption by ML training pipelines
  • Integrate into policy and training pipelines: Embed rendering capabilities into policy training loops, evaluation harnesses, and dataset generation workflows enabling end-to-end visual learning for robotic manipulation
  • Integrate with physics simulation: Render dynamic scenes including articulated rigid bodies, deformable objects, and skinned meshes in coordination with physics simulation systems
  • Collaborate on speed/quality tradeoffs: Partner closely with Research Scientists and ML Engineers to understand requirements and make principled tradeoffs between rendering fidelity and throughput
  • Own the full rendering stack: Maintain end-to-end ownership from scene ingestion through final image output, driving architectural decisions and performance optimization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Physics, or Mathematics (or equivalent practical experience)
  • 10+ years of experience in GPU programming and real-time or offline computer graphics
  • Expert-level CUDA development including kernel optimization, GPU memory hierarchy, and performance tuning
  • Deep expertise in ray tracing and/or rasterization algorithms and their GPU implementations
  • Track record of building rendering systems or GPU compute pipelines
  • Experience with C++ and systems programming, including performance-critical codebases

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master's or Ph.D. in Computer Science, Computer Graphics, Physics, or related field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with physically-based rendering, global illumination, or production rendering pipelines
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with NVIDIA datacenter GPU architectures (Hopper, Blackwell) and how they differ from consumer GPUs for rendering workloads
  • Knowledge of robotics simulation or physics engines (MuJoCo, PhysX, Isaac Sim)
  • Experience integrating rendering systems into ML training pipelines (PyTorch, JAX)
  • Experience building renderers or graphics engines from scratch in a professional setting
  • Familiarity with OptiX, Vulkan, or custom ray tracing implementations on NVIDIA hardware

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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