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How much do real time systems jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for real time systems in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $31.97 per hour, depending on experience, location, and employer.

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

To thrive as a Real-Time Systems Engineer, you need a solid background in computer science or electrical engineering, with expertise in real-time operating systems (RTOS), embedded programming, and system design. Familiarity with tools such as RTOS (e.g., VxWorks, FreeRTOS), C/C++ programming, debugging tools, and sometimes certifications like Certified Embedded Systems Engineer are typical requirements. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this field. These skills ensure the delivery of reliable, responsive systems that meet stringent timing and safety requirements in industries like automotive, aerospace, and telecommunications.

What are some common challenges faced by professionals working in Real Time Systems, and how can they be addressed?

Professionals in Real Time Systems often face challenges such as meeting strict timing constraints, managing system reliability, and ensuring real-time responsiveness under varying workloads. These issues require careful system design, thorough testing, and continuous monitoring. Collaboration with hardware and software teams is essential to optimize performance and quickly resolve bottlenecks. Staying updated with the latest tools and methodologies, like real-time operating systems and simulation tools, can also help address these challenges effectively.

What are real-time systems?

Real-time systems are computer systems that must process data and provide responses within a strict time constraint, often to control or interact with physical equipment. These systems are commonly used in industries like automotive, aerospace, telecommunications, and industrial automation, where delays can lead to failures or safety issues. Real-time systems are designed to guarantee that critical tasks are completed on time, whether the deadlines are hard (must always be met) or soft (can occasionally be missed). They typically involve specialized hardware and software to ensure reliability, predictability, and speed.

What is the difference between Real Time Systems vs Embedded Systems?

AspectReal Time SystemsEmbedded Systems
Primary FocusEnsuring timely processing and responses within strict deadlinesPerforming specific functions within a device or system
Certifications/SkillsReal-time OS knowledge, programming, system designEmbedded programming, hardware integration, microcontroller expertise
Work EnvironmentIndustrial, aerospace, automotive, healthcareConsumer electronics, appliances, automotive
Industry UsageCritical systems requiring real-time guaranteesDevice-specific applications with limited resources

While both roles involve specialized system development, Real Time Systems focus on ensuring timely responses for critical applications, whereas Embedded Systems are designed for specific functions within devices. Understanding these differences helps professionals choose the right career path or specialization in the industry.

What cities are hiring for Real Time Systems jobs? Cities with the most Real Time Systems job openings:

Network Software Engineer, Real-Time Systems

FieldAI

Irvine, CA • On-site

$70K - $200K/yr

Other

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

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
We're looking for a Software Engineer to build the connectivity layer powering FieldAI's robotic platforms in the real world.
In this role, you'll design and deploy low-latency, high-reliability communication systems that enable seamless, real-time interaction between robots and remote operators. You'll work across cellular networks (4G/5G), edge-to-cloud systems, and distributed device infrastructure to ensure robust performance in dynamic, unpredictable environments.
You'll tackle hard problems like network handoffs, intermittent connectivity, and maintaining real-time performance under mobility, interference, and degraded conditions. This includes building systems that gracefully adapt to changing network quality while preserving responsiveness and reliability.
This is a deeply hands-on role at the intersection of robotics, networking, and distributed systems. Your work will directly determine how our robots perceive, communicate, and operate in the field.
What You Will Get To Do

  • Build low-latency, bidirectional audio/video streaming systems for telepresence and teleoperation
  • Design and optimize real-time communication over private 5G and heterogeneous networks
  • Monitor and improve network performance (latency, jitter, packet loss, throughput) in dynamic environments
  • Implement QoS strategies, congestion control, and adaptive streaming for reliable operation
  • Develop, test, and deploy communication systems directly on robotic platforms
  • Ensure robust performance under mobility, degraded connectivity, and real-world conditions
What You Have
  • MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
  • Strong experience building real-time or near real-time communication systems (e.g., TCP/UDP, RTP/RTCP, WebRTC)
  • Solid understanding of networking fundamentals, especially in wireless and cellular contexts (latency, jitter, handoffs, bandwidth constraints)
  • Experience working with Linux networking and debugging tools (e.g., tcpdump, iperf, ss, iw)
  • Familiarity with distributed systems and device-to-cloud communication architectures
  • Experience developing and validating systems on physical hardware, not just simulations
  • Working knowledge of ROS/ROS2 or similar frameworks for distributed robotic systems
What Will Set You Apart
  • Experience deploying systems over cellular networks (LTE/5G), including private 5G setups
  • Background in telepresence, teleoperation, or real-time audio/video streaming systems
  • Deep understanding of adaptive bitrate, congestion control, QoS, and fault-tolerant networking
  • Experience with media and streaming frameworks (e.g., WebRTC, GStreamer, RTP pipelines)
  • Familiarity with mesh networking or device-to-device communication systems
  • Experience designing systems that gracefully handle intermittent connectivity and mobility
  • Strong ownership mindset, from system design through real-world deployment and iteration

$70,000 - $200,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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