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Maven Robotics

Embedded Software Engineer, Real-Time Linux

Santa Clara, California, United States

Location
Santa Clara, California, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
18 months ago

Pay and the market here

367 engineering jobs open in Santa Clara: 10% remote, 68 posted in the last 30 days.

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About the role

About Maven

Maven Robotics designs, builds, and deploys intelligent robotics for logistics and manufacturing. Maven is building the first general-purpose robotics system for industrial work. Our mission is to activate autonomous labor at scale and build toward infinitely elastic industrial capacity. We’re a team of engineers, researchers, and operators who have spent our careers working on the hardest problems in AI, robotics, engineering, and autonomous systems. We work at the intersection of advanced research and real-world engineering, turning ideas into prototypes and deployed systems.

At Maven, we build around the realities of industrial work. The robots are designed from first principles for complex physical environments and rigorous commercial standards. They master real tasks that deliver immediate impact, industrial-grade reliability, and intelligence that compounds at scale. We’re growing an ambitious team of people who think in systems, move quickly, and are builders at heart.

About the Role

As an Embedded Software Engineer at Maven Robotics, you will 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.

What You’ll Do

  • Design, develop, and integrate POSIX-compliant systems for advanced robotics and machine learning applications
  • Build frameworks that integrate controls, machine learning, and supporting algorithms with real-time tasks
  • Collaborate with Controls and ML engineers to develop and optimize high-performance autonomous systems
  • Develop and maintain drivers and interfaces for real-time robotic middleware
  • Build tools to monitor, validate, and optimize system performance, ensuring reliable and deterministic behavior
  • Establish reproducible build and test environments to support efficient development and deployment
  • Develop robust solutions for over-the-air (OTA) updates, calibration management, and software deployment
  • Partner with cross-functional teams to solve complex technical challenges while supporting functional safety, compliance, and traceability

What We’re Looking For

  • MS in Computer Engineering, Computer Science, or a related field
  • Production experience with Linux PREEMPT_RT or similar real-time operating systems (e.g., QNX)
  • Strong understanding of Linux device trees, scheduling, memory management, and multicore ARM SoCs
  • Experience with interprocess/intercore communication, message passing, and robotic middleware (e.g., ROS 2, FastDDS, CycloneDDS, Zenoh)
  • Proficiency in C/C++ and familiarity with development toolchains, including compilers, linkers, debuggers, and static analysis tools
  • Familiarity with container technologies and runtimes (e.g., Docker, containerd, OverlayFS)
  • Self-driven problem solver with strong prioritization skills and the ability to 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)

Equal Opportunity

Maven Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Source

Posted by Maven Robotics on their own hiring page, boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:26 UTC; the original is the reference.

View the original ad ↗

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