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Firmware Engineer

Monark

White Rock

On-site

CAD 70,000 - 85,000

Full time

Yesterday

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Job summary

A leading technology company in White Rock is seeking a skilled Firmware Engineer to develop and optimize firmware for embedded devices, particularly those utilizing NVIDIA Jetson platforms. The ideal candidate will have a strong background in low-level programming, real-time operating systems, and hardware integration, working on cutting-edge technologies in AI and embedded systems.

Benefits

Competitive salary

Benefits

Career growth opportunities

Qualifications

Experience in firmware development for embedded systems, including Jetson-based applications.
Strong proficiency in C, C++, Python, and embedded Linux development.
Hands-on experience with NVIDIA Jetson SDKs, CUDA, TensorRT, and DeepStream.

Responsibilities

Design, develop, and optimize embedded firmware for microcontrollers and Jetson platforms.
Collaborate with hardware and software teams to integrate firmware with Jetson modules.
Implement firmware solutions using FreeRTOS or other real-time operating systems.

Skills

Embedded Systems Development

Low-level Programming

Real-time Operating Systems

Hardware Integration

C/C++ Programming

Python Programming

CUDA

Debugging Tools

Job Openings

Firmware Engineer

Critical Insights - White Rock, British Columbia

Department

Critical Insights

Employment Type

Permanent - Full-Time

Minimum Experience

Experienced

Compensation

$70,000 - $85,000

Job Summary

We are seeking a skilled Firmware Engineer with expertise in embedded systems development and NVIDIA Jetson platforms. The ideal candidate will have a strong background in low-level programming, real-time operating systems, and hardware integration. You will be responsible for designing, developing, and optimizing firmware for embedded devices, including Jetson-based AI/ML systems, and collaborating with cross-functional teams to deliver high-performance solutions.

Key Responsibilities

Firmware Development: Design, develop, and optimize embedded firmware for microcontrollers, ARM-based processors, and Jetson platforms.
Jetson Platform Development: Work with NVIDIA Jetson Nano, TX2, Xavier, AGX Orin, and related tools for edge AI applications.
Jetson SDK & CUDA Integration: Implement and optimize CUDA-based processing and leverage NVIDIA JetPack SDK for AI and embedded computing.
System Integration: Collaborate with hardware and software teams to integrate firmware with Jetson modules, sensors, and peripherals.
Embedded Systems Programming: Develop efficient, low-level C/C++ and Python code for real-time and AI-driven applications.
Device Driver Development: Create and optimize Linux kernel drivers for peripherals such as UART, SPI, I2C, and GPIO.
RTOS & Bare Metal Development: Implement firmware solutions using FreeRTOS or other real-time operating systems.
Connectivity & Communication Protocols: Work with Ethernet, Wi-Fi, BLE, MQTT, Modbus, CAN, and USB.
Power & Performance Optimization: Optimize low-power firmware and AI inferencing performance on Jetson platforms.
Testing & Debugging: Utilize Jetson Debug Tools, Nsight Systems, JTAG, oscilloscopes, and logic analyzers for testing and debugging.
Documentation & Compliance: Maintain detailed documentation and ensure firmware meets industry standards and safety regulations.

Required Qualifications

Experience in firmware development for embedded systems, including Jetson-based applications.
Strong proficiency in C, C++, Python, and embedded Linux development.
Hands-on experience with NVIDIA Jetson SDKs, CUDA, TensorRT, and DeepStream.
Experience with RTOS-based and bare-metal embedded development.
Strong understanding of ARM Cortex architectures and microcontroller programming.
Familiarity with Jetson tools (JetPack SDK, Nsight Systems, DeepStream, GStreamer, L4T, cuDNN).
Hands-on experience with debugging tools like JTAG, UART, SPI/I2C sniffers.
Knowledge of Git, CI/CD pipelines, and software version control systems.

Preferred Qualifications

Experience with AI/ML inferencing on edge devices using TensorRT.
Knowledge of secure boot, encryption, and cybersecurity for embedded devices.
Experience in medical, automotive, or industrial firmware development.
Understanding of FPGA programming and hardware acceleration techniques.
Proficiency in OpenCV, GStreamer, ROS (Robot Operating System), or TensorFlow for embedded AI applications.

Why Join Us?

Work on cutting-edge embedded and AI-powered technologies.
Opportunity to collaborate with industry experts in AI, robotics, and IoT.
Competitive salary, benefits, and career growth opportunities.

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