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Real Time Linux Software Engineer Jobs (NOW HIRING)

Mantu

Embedded Linux Software Engineer - C/C++

Westford, MA · On-site

$136K - $179K/yr

Senior Embedded Linux Software Engineer - C/C++ Location: Westford, MA -- Hybrid, 3 days/week ... Strong understanding of multithreaded, multi-process, and real-time embedded application ...

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How much do real time linux software engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for real time linux software engineer in the United States is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $67.07 per hour, depending on experience, location, and employer.

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Infographic showing various Real Time Linux Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $124,247 per year, or $59.7 per hour.

Embedded Software Engineer - Real-Time Linux

San Francisco, CA • On-site

Maven Robotics
See more jobs at Maven Roboticsexternal

$154K - $203K/yr

Full-time

Re-posted 23 days ago

Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Embedded Software Engineer - Real-Time Linux to help build the foundational real-time Linux platform powering the brains of our autonomous robotics systems. This is a critical role for developing high-performance, GPU-accelerated compute platforms tailored to robotics and machine learning workloads.
In this role you will:
  • Design, adapt, and integrate POSIX-compliant systems for advanced robotics and machine learning (ML) applications.
  • Develop the framework for integration of controls, machine learning and supporting algorithms with real-time tasks.
  • Collaborate with Controls and Machine Learning engineers to develop and optimize high performance autonomous systems.
  • Develop and maintain drivers for integration with real-time robotic middleware.
  • Build tools to monitor, verify and optimize system performance, ensuring reliable and deterministic behavior.
  • Contribute to a deterministic and reproducible build and test environment for efficient development.
  • Work with functional safety engineers to support standards compliance, audit readiness, and traceability.
  • Develop robust solutions for over-the-air (OTA) updates, calibration management and software deployment strategies.
  • Tackle complex, real-world challenges alongside a multidisciplinary team of experts.
Qualifications
Must-have:
  • MS in computer engineering, computer science or a related discipline.
  • Production experience with bringup and configuration of Linux PREEMPT_RT and similar operating systems (e.g. QNX).
  • Strong understanding of Linux device trees, scheduling and memory management.
  • Experience with multicore ARM SoCs, interprocess/intercore communications and message passing.
  • Proficiency in C and C++
  • Experience with ROS 2 middleware and alternatives (Eg. FastDDS, CycloneDDS, Zenoh).
  • Familiarity with container technologies, container runtimes and related concepts (Eg. Docker, Containerd, Overlayfs).
  • Understanding of toolchains (compilers, linkers, debuggers, static analysis tools)
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Proactive, self-driven mindset with a strong ability to prioritize and deliver in a fast-paced startup environment.

Nice-to-have:
  • Familiarity with communication protocols (e.g. Ethernet, EtherCAT, CAN, CANOpen).
  • Knowledge of ARM SIMD/NEON architecture extensions.
  • Proficiency in additional programming languages (e.g. Python, Rust, Golang).
  • Expertise with multi-language build systems (e.g. Bazel, Bob).
  • Experience with Hypervisors (e.g. QNX Hypervisor, Jailhouse, Xen).
  • Understanding of container orchestration systems and tools (Eg. Kubernetes).

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