Senior Firmware Engineer - RTOS
We are seeking a high-caliber Senior Firmware Engineer to design and develop high-performance, real-time systems for cutting-edge camera-based sports equipment. This position combines expertise in embedded firmware and real-time performance optimization to meet the precision and speed demands of an industry-leading product. You will work closely with hardware engineers, systems engineers, and QA teams to bring innovative solutions to life.
This position reports to the Firmware Engineer RT Supervisor and is based out of our San Diego office. This role is currently based in San Diego but will be moving to our new, state of the art Golf Technology headquarters in Carlsbad, CA. The move will roll out in phases across 2026, beginning with initial team moves in June and continuing throughout the year.
As the Senior Firmware Engineer, you will have an opportunity to:
Collaborate with hardware engineers, system architects, and application developers to integrate firmware with other systems.
Mentor and guide junior engineers, providing technical leadership and support in firmware development and real-time systems design.
Perform rigorous debugging, optimization, and testing to ensure reliability, robustness, and fault tolerance of embedded systems.
You have:
- 6+ years of experience in embedded systems development, with a focus on real-time, performance-critical applications.
- B.S. in related field
- Mastery in bare metal/real-time development using C/C++ for embedded systems.
- Proven experience interfacing with components such as DDR, Flash Memory, I2C, SPI, RTOS, LVDS, and timing, and understanding their interactions in real-time systems.
- Comfortable in embedded Linux environments, particularly for managing embedded Linux systems alongside real-time processors.
- Experience in performance-critical applications, such as high data rate or low latency scenarios.
- Experience in hardware debugging, including JTAG and other diagnostic tools.
- Strong understanding of real-time systems and performance metrics such as latency, throughput, and timing constraints in embedded applications.
- Advanced knowledge of object-oriented programming (OOP) design and software engineering best practices.
- Familiarity with performance benchmarking tools and optimization techniques for embedded systems.
Nice to Haves (Not Required):
- FPGA design and development using Xilinx toolset (VHDL/Verilog), with experience in designing for Xilinx Zynq, Versal, or Artix SoCs.
- Familiarity with Vitis/Vivado Toolchain and hardware-software co-design.
- Develop and optimize embedded firmware and FPGA logic for high-speed, precision camera-based systems in a real-time environment.
- Experience in image processing, machine vision, or similar domains, including filters, transforms, convolution kernels, and algorithm optimization for embedded systems.
- Background in algorithm development for real-time computer vision or signal processing, with a focus on performance optimization.
- Experience working with bare metal microcontrollers in time-critical applications
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