Staff Engineer- Linux Application Developer

About Macnica:

Macnica Americas, Inc. is the North American division of Macnica Fuji Electronics Holdings, Inc. a $10 billion technology solutions provider with a stronghold in semiconductor distribution. Macnica excels in customizing solutions to client requirements and leveraging skilled engineers to expedite product development without compromising outcomes for our clients.

Company perks:

• 15 days of vacation, plus 12 days of national holidays

• 40 hrs. of paid sick time off

• Health, dental, and vision insurance

• 401 (k) with company matching

• HSA/ FSA

Job Summary:

We are seeking a highly skilled and experienced Staff Embedded Engineer to join our dynamic team. This role requires a proactive and hands-on professional with expertise in embedded systems, software development, multimedia frameworks, and protocol management. As a Staff Engineer, you will be involved in designing, developing, and maintaining advanced embedded systems while collaborating with cross-functional teams to achieve product milestones.

Responsibilities:

• Develop, implement, and maintain complex Linux applications, writing efficient code primarily in C/C++ or other relevant languages. Optimize applications for performance and reliability in resource-constrained environments.

• Integrate Linux applications with various subsystems, including multimedia, network protocols, and device drivers, ensuring seamless communication and interoperability.

• Analyze and optimize application performance at both software and system levels, using profiling tools and techniques to enhance responsiveness, stability, and resource usage.

• Provide solutions to complex issues in collaboration with other team members.

• Work closely with hardware, firmware, and product teams to understand hardware dependencies, application requirements, and overall product goals.

• Develop thorough documentation for applications, APIs, and system integration points.

• Conduct and participate in code reviews to ensure code quality and maintainability across the team.

• Engage with stakeholders as needed to gather requirements, provide updates, and manage expectations regarding project timelines, deliverables, and potential challenges.

• Drive continuous improvement by identifying and addressing inefficiencies in software and hardware interfaces.

Requirements:

• Ability to travel up to 10%

• Design and develop embedded software solutions for various platforms, ensuring high performance and reliability.

• Architect, code, and optimize embedded applications and systems using C, C++, STL, Python, and shell scripting.

• Excellent in Linux programming, IPC, multi-threaded programming & Socket programming.

• Utilize object-oriented design principles (UML, design patterns) to build scalable and maintainable software.

• Debug and troubleshoot issues using tools such as GDB, Valgrind, Clang, TCP dump, and Wireshark.

• Proficiency or familiarity with one of the build systems such as CMake, Make or Ninja.

• Work with embedded systems build environments (Buildroot, Yocto).

• Awareness of Linux driver models, including board bring-up processes, Bootloaders and Device tree concepts.

• Knowledge of communication protocols, including UART, I2C, SPI, TCP, UDP.

• Understanding of real-time operating systems (RTOS), such as FreeRTOS or Zephyr, and their integration within embedded systems.

• Multimedia frameworks (GStreamer, FFmpeg) to handle audio and video functionalities in embedded environments using protocols RTSP and RTP is preferred.

• Ability to collaborate and write integration code on cloud technologies including REST APIs, MQTT, AWS, and SaaS for connected device solutions.

• Familiarity with version control systems like Git, SVN, or Mercurial for code management and version tracking.

• Experience setting up unit tests, integration tests, and system tests in the CI/CD pipeline.

• Domain knowledge in Pro-AV/Broadcast or Imaging solutions is a plus.

Preferred experience:

• Experience with NVIDIA GPU programming, including CUDA fundamentals, GPU memory management, and parallel computing optimizations.

• Familiarity with related technologies such as CUDA libraries (cuDNN), GPU-accelerated frameworks, and performance tuning tools like NVIDIA Nsight

Education: 

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.

• Minimum 8 years of hands-on experience in embedded systems development.