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Rust Embedded Jobs in Anaheim, CA (NOW HIRING)

Panasonic

Sr. Embedded Software Engineer - Platform

Irvine, CA · On-site

$133K - $174K/yr

Golang and Rust are preferred, but strong C++ experience is acceptable. * Experience developing software under Linux in embedded or resource-constrained environments. * Experience with data-centric ...

Panasonic

Sr. Embedded Software Engineer - Platform

Irvine, CA · On-site

$133K - $174K/yr

Golang and Rust are preferred, but strong C++ experience is acceptable. * Experience developing software under Linux in embedded or resource-constrained environments. * Experience with data-centric ...

Slope

Senior Embedded Linux Engineer

Costa Mesa, CA · On-site

$220 - $292/hr

Experience with C or Rust * Familiarity with MCU basics, RTOS, and MCU‑level interfaces ... Experience developing embedded Linux systems using Yocto, buildroot, or similar systems

Freeform

Software Engineer (Embedded)

Los Angeles, CA · On-site

$125K - $150K/yr

As an Embedded Software Engineer at Freeform, you will be responsible for contributing to the ... Experience with Rust * Experience with high-speed data acquisition and real time closed-loop ...

Freeform

Software Engineer (Embedded)

Los Angeles, CA · On-site

$125K - $150K/yr

As an Embedded Software Engineer at Freeform, you will be responsible for contributing to the ... Experience with Rust * Experience with high-speed data acquisition and real time closed-loop ...

Freeform

Software Engineer (Embedded)

Los Angeles, CA · On-site

$115K - $145K/yr

As an Embedded Software Engineer at Freeform, you will be responsible for contributing to the ... Experience with Rust * Experience with high-speed data acquisition and real time closed-loop ...

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All JobsRust Embedded JobsRust Embedded Jobs in Anaheim, CA

Rust Embedded information

See Anaheim, CA salary details

$73.3K

$160.6K

$182.2K

How much do rust embedded jobs pay per year?

As of Aug 20, 2026, the average yearly pay for rust embedded in Anaheim, CA is $160,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,700.00 and $181,100.00 per year, depending on experience, location, and employer.

What is a Rust Embedded?

A Rust Embedded job involves developing software for embedded systems using the Rust programming language. These systems include microcontrollers, IoT devices, and real-time applications where performance, safety, and reliability are critical. Rust's memory safety features and concurrency support make it well-suited for embedded development, reducing common issues like buffer overflows and data races. Developers in this field work with low-level hardware interactions, device drivers, and firmware while optimizing for constraints like power consumption and processing speed.

What does a Rust Embedded do?

As a Rust Embedded engineer, your daily tasks often include designing, coding, and debugging firmware or low-level drivers in Rust, conducting hardware-software integration tests, and working closely with cross-functional teams such as hardware engineers and QA specialists. You may also participate in code reviews, optimize system performance, and document technical specifications to support maintainable development. Troubleshooting and resolving issues that arise during real-world device deployment is also a common responsibility. This role involves a mix of independent problem-solving and collaborative teamwork to ensure reliable, high-performance embedded solutions.

What are the key skills and qualifications needed to thrive in the Rust Embedded position, and why are they important?

To thrive as a Rust Embedded professional, you need strong proficiency in the Rust programming language, embedded systems design, and low-level hardware interaction, often supported by a degree in computer engineering, electrical engineering, or a related field. Experience with microcontroller platforms (such as ARM Cortex-M), version control systems like Git, and tools such as embedded debuggers or simulators is commonly required; certifications in embedded development or safety standards (e.g. ISO 26262) can be advantageous. Effective problem-solving, attention to detail, and strong collaboration skills are essential for successful project delivery. These skills ensure reliability, efficiency, and safety in developing robust embedded software for critical hardware applications.

Is Rust good for embedded systems?

Rust is increasingly used for embedded systems development due to its focus on safety, performance, and low-level control. It offers features like ownership and zero-cost abstractions, making it suitable for resource-constrained environments, and is supported by tools like Cargo and embedded-specific crates. Many embedded developers choose Rust for its reliability and modern language features.

What are the most commonly searched types of Rust Embedded jobs in Anaheim, CA?

The most popular types of Rust Embedded jobs in Anaheim, CA are:

What are popular job titles related to Rust Embedded jobs in Anaheim, CA?

For Rust Embedded jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Rust Embedded jobs in Anaheim, CA look for?

The top searched job categories for Rust Embedded jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Rust Embedded jobs?

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Rust Embedded jobs near you
Infographic showing various Rust Embedded job openings in Anaheim, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $160,578 per year, or $77.2 per hour.

Embedded Software Engineer, Perception (All Levels)

Parallel Systems

Los Angeles, CA • On-site

$141K - $186K/yr

Full-time

Posted 19 days ago

Job description

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight.
Embedded Software Engineer, Perception (All Levels)
Parallel Systems is seeking an experienced Firmware Engineer to build the low-level software that powers the perception sensing stack on our fully autonomous, battery-electric rail vehicles. In this role, you'll own the drivers, kernel components, and firmware that get high-throughput camera and lidar data off the sensor and into our perception pipeline reliably, in real time, and at scale. You'll work at the boundary of Linux, ARM, and NVIDIA compute platform, partnering closely with the embedded platform engineers who maintain our custom Linux platforms to bring up hardware, harden drivers, and squeeze every millisecond of latency out of our sensing pipeline. If you like living close to the kernel, the hardware, and the timing budget, we'd love to work with you.
We are open to candidates across a range of experience levels, excluding recent graduates.
Responsibilities
  • Develop and maintain drivers, kernel modules, and firmware for embedded Linux systems running on ARM and NVIDIA (Jetson/Tegra) compute platforms.
  • Write low-level systems software in Rust and C/C++ for perception-critical components, from board bring-up through production hardening.
  • Build, modify, and optimize drivers for high-throughput sensors such as camera, lidars, IMUs, including capture pipelines, buffer management, and data integrity under sustained load.
  • Own the performance of sensing hardware and drive real-time optimizations - implementing timesync, reducing latency and jitter, eliminating dropped frames, and keeping multi-sensor pipelines deterministic under load.
  • Test and validate low-level sensor configuration changes across firmware and sensor revisions to confirm correct behavior under different test conditions
  • Profile and optimize GPU and kernel-level performance on NVIDIA platforms (CUDA, TensorRT, scheduling, memory/IO) to meet real-time constraints for perception workloads.

What Success Looks Like:
  • After 30 Days: You've developed a working understanding of our embedded Linux stack, NVIDIA Tegra/Jetson build system, and sensor architecture. You've identified initial performance bottlenecks and created a development plan to address them.
  • After 60 Days: You've landed driver or kernel-level improvements on at least one sensor pipeline, contributed hands-on to the Yocto/Tegra build alongside the embedded platform team, and built diagnostics for latency, dropped frames, and timing drift. You're actively contributing to the real-time system that handles sensor data ingestion and feeds ML model inference in production.
  • After 90 Days: You own a driver or firmware subsystem end-to-end, with a measurable reduction in latency and jitter and improved timesync across the camera/lidar pipeline. You're contributing to the real-time perception pipeline, including the system handling sensor data and ML model inference, and to GPU/kernel optimization work with clear impact on overall perception throughput.

Basic Requirements:
  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related technical discipline
  • 4+ years of hands-on experience in embedded, firmware, or systems software engineering.
  • Strong knowledge of Linux internals and driver development on ARM-based platforms.
  • Proficiency in Rust and C++ for systems-level programming.
  • Experience with NVIDIA embedded platforms (Jetson/Tegra)
  • Experience developing or maintaining drivers for high-throughput sensors such as cameras and/or lidar, including data capture, buffering, and timestamp synchronization.
  • Comfortable debugging across the hardware/software boundary (device tree, kernel logs, oscilloscope, logic analyzer).
  • Excellent communication and collaboration skills, with experience working on interdisciplinary teams.

Preferred Qualifications:
  • Experience with GPU and kernel-level optimization on NVIDIA platforms (CUDA, TensorRT).
  • Experience with Yocto-based builds.
  • Hands-on experience with V4L2, GStreamer, MIPI CSI-2 camera stacks.
  • Experience in autonomous vehicles, robotics, or other safety-critical domains.
  • Familiarity with ROS2, sensor fusion, or SLAM.
  • Knowledge of and experience contributing to real-time perception streaming pipelines, including GStreamer-based media pipelines.

We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below.
Target Salary Range:
$154,000-$212,000 USD
Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work.
Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.

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