Firmware Engineer

Fluid - Solutions de Talents/Workforce Solutions; Surrey; On-site; CAD 80,000 - 100,000; Full time

Job summary

A cutting-edge technology firm in Surrey is seeking a skilled Firmware Engineer to develop embedded systems for NVIDIA Jetson platforms. The ideal candidate has expertise in low-level programming, real-time operating systems, and works well in a collaborative environment. The position offers competitive salary, benefits, and opportunities for career growth.

Benefits

Competitive salary

Benefits

Career growth opportunities

Qualifications

• Experience in firmware development for embedded systems.
• Strong proficiency in C, C++, and Python.
• Hands-on experience with NVIDIA Jetson SDKs.

Responsibilities

• Design, develop, and optimize embedded firmware for microcontrollers.
• Work with NVIDIA Jetson platforms for edge AI applications.
• Collaborate with hardware and software teams for firmware integration.

Skills

Embedded systems development

C

C++

Python

Firmware development

Low-level programming

Real-time operating systems

NVIDIA Jetson SDKs

Debugging tools

Education

Bachelor's or Master's degree in Electrical Engineering

Tools

Jetson Nano

Jetson TX2

Jetson Xavier

Jetson AGX Orin

FreeRTOS

CUDA

JetPack SDK

Job description

Overview

Job Title: Firmware Engineer (Embedded Systems & Jetson Platforms)

Location: Surrey, Canada

Job Type: Full-Time

Experience Level: 3+ years Qualification: Bachelor\'s or Master\'s degree in Electrical Engineering, Computer Engineering, Embedded Systems, or a related field

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.

Fluid thanks you for your interest in this opportunity. However, only candidates with the required qualifications will be contacted.

Fluid adheres to the principles of equal employment opportunity and affirmative action. We welcome and encourage diversity in our workplace.

Candidates must be eligible to work in Canada.