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Robotics Systems Engineer Jobs (NOW HIRING)

Meta

Research Engineer Robotics (Systems)

Redmond, WA · On-site

$183K/yr

Research Engineer Robotics (Systems) Responsibilities: * Architect & Own Real-Time Robotic Systems: Design and maintain real-time dexterous manipulation pipelines that integrate perception, planning ...

Meta

Research Engineer Robotics (Systems)

Redmond, WA · On-site

$183K - $257K/yr

We are seeking a staff Research Engineer with deep expertise in software engineering, robotic systems integration, and machine learning. This role is highly interdisciplinary - you will own the end ...

Pronto

Senior Robotics Systems Engineer

San Francisco, CA · On-site

$176K - $242K/yr

What you'll do Pronto is looking for a Robotics Engineer who thrives at system-level debugging and end-to-end feature delivery-taking autonomy capabilities from prototype to reliable performance on ...

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Robotics Systems Engineer information

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$53.5K

$127.2K

$167K

How much do robotics systems engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for robotics systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior robotics systems engineers with extensive experience, advanced skills in automation, control systems, and programming, and often holding specialized certifications can earn $300,000 or more annually. High-level roles in industries such as aerospace, defense, or large technology companies tend to offer these compensation levels, especially for those leading complex projects or managing teams.

What is the difference between Robotics Systems Engineer vs Mechanical Engineer?

AspectRobotics Systems EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Electrical, or Mechanical Engineering; certifications in robotics or automationBachelor's in Mechanical Engineering; often Professional Engineer (PE) license
Work EnvironmentDesigning, developing, and testing robotic systems in labs or manufacturing settingsDesigning mechanical components, systems, or machinery in various industries
Industry UsageRobotics, automation, manufacturing, researchAutomotive, aerospace, manufacturing, product design

Robotics Systems Engineers focus on designing and integrating robotic systems, combining electrical, software, and mechanical components. Mechanical Engineers primarily work on mechanical design and analysis. While both roles may collaborate, Robotics Systems Engineers have a specialized focus on automation and robotics technology, making their skills more aligned with modern automation industries.

What engineers make $500,000?

Senior robotics systems engineers with extensive experience, specialized skills in automation, and advanced certifications can reach or exceed a $500,000 annual salary, especially in high-demand industries like aerospace, defense, or advanced manufacturing. Such roles often involve leadership responsibilities, complex problem-solving, and working with cutting-edge technologies.

What are the key skills and qualifications needed to thrive as a Robotics Systems Engineer, and why are they important?

To thrive as a Robotics Systems Engineer, you need expertise in robotics design, control systems, programming (such as C++ or Python), and a relevant engineering degree. Familiarity with technical tools like ROS (Robot Operating System), CAD software, and simulation platforms, as well as certifications in robotics or automation, is highly beneficial. Strong problem-solving skills, teamwork, and effective communication help distinguish top performers in this field. These competencies are vital for designing, integrating, and maintaining complex robotic systems that meet operational and safety standards.

What are Robotics Systems Engineers?

Robotics Systems Engineers are professionals who design, develop, integrate, and maintain robotic systems used in various industries such as manufacturing, healthcare, and logistics. They work on both the hardware and software aspects of robotics, ensuring that all components function together effectively. Their responsibilities often include system modeling, simulation, programming, troubleshooting, and collaborating with multidisciplinary teams to create automated solutions. Robotics Systems Engineers play a key role in advancing automation and improving efficiency, safety, and productivity in different sectors.

What are some common challenges faced by Robotics Systems Engineers when integrating hardware and software components?

Robotics Systems Engineers often encounter challenges related to ensuring seamless communication between hardware sensors, actuators, and software algorithms. Synchronizing real-time data streams, addressing hardware compatibility issues, and debugging complex system interactions can be demanding. Engineers frequently collaborate with multidisciplinary teams, including mechanical, electrical, and software engineers, to resolve these challenges and ensure reliable system performance. Adapting quickly to new technologies and troubleshooting unexpected behaviors are crucial skills in this dynamic role.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, automation, and research. Robotics Systems Engineers are in demand for designing, developing, and maintaining robotic systems, often requiring skills in programming, control systems, and hardware integration. The industry continues to evolve with advancements in AI, sensors, and automation technologies.

What does a robotics systems engineer do?

A robotics systems engineer designs, develops, and tests robotic systems and automation solutions. They work with hardware and software components, often using programming languages like C++ or Python, and may utilize tools such as CAD and simulation software to ensure system functionality and integration.
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What job categories do people searching Robotics Systems Engineer jobs look for? The top searched job categories for Robotics Systems Engineer jobs are:
Robotics Systems Engineer jobs near you
Infographic showing various Robotics Systems Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Research Engineer Robotics (Systems)

Research Engineer Robotics (Systems)

Meta

Redmond, WA • On-site

$183K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Reality Labs Research (RL-R) brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of dexterous robotic manipulation.We are seeking a staff Research Engineer with deep expertise in software engineering, robotic systems integration, and machine learning. This role is highly interdisciplinary — you will own the end-to-end technical architecture spanning full-stack robotics development, deployment of learned control policies, and hands-on integration of robotic embodiments with human wearable sensing systems.As a staff individual contributor, you will set the technical direction for complex multi-disciplinary systems, drive innovations that bridge research and production, and mentor engineers across teams. You'll collaborate closely with researchers, engineers, and designers, leveraging cutting-edge technology and advanced research facilities.
Research Engineer Robotics (Systems) Responsibilities:
  • Architect & Own Real-Time Robotic Systems: Design and maintain real-time dexterous manipulation pipelines that integrate perception, planning, and control across multiple robotic platforms. Drive architectural decisions that enable rapid research iteration at scale
  • Lead Data Capture & Retargeting Infrastructure: Architect motion capture integration, novel hardware prototypes, and human demonstration data collection systems. Build scalable processing pipelines for large multimodal datasets that enable efficient model training and real2sim transfer
  • Drive ML-Systems Integration: Deploy and iterate on learned control policies (imitation learning, MPC, reinforcement learning) within full robotic systems. Partner with research teams to bridge the gap between algorithmic advances and real-world system performance
  • Optimize Performance & System Reliability: Own runtime performance, debug complex system behaviors across the stack, and develop interactive demos and benchmarks that demonstrate research progress
  • Set Technical Direction: Identify and drive cross-cutting technical improvements. Influence roadmap and priorities through deep system understanding and proactive problem identification
  • Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader team

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, Robotics, or related technical field (or equivalent practical experience)
  • 5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings
  • Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning)
  • Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems
  • Track record of driving complex, ambiguous technical projects from conception through delivery with minimal direction
  • Experience communicating technical decisions and system designs to cross-functional stakeholders across research and engineering functions (e.g., design documents, technical reviews, project proposals)

Preferred Qualifications:
  • Experience building and operating systems that bridge research exploration and reliable deployment
  • Background in computer vision, imitation learning, reinforcement learning, model-predictive control, or sim-to-real transfer
  • Master's or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in dexterous manipulation, learned robotic policy deployment, or control theory applied to real hardware
  • Experience designing data collection protocols and building high-quality ML datasets at scale
  • History of mentoring engineers and influencing technical direction beyond your immediate team
  • Deep familiarity with robotics frameworks (e.g., ROS/ROS2) and real-time robotic control systems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.
$183,997/year to $257,000/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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