Role: Embedded Developer
Location: Lafayette, CO (Onsite)
Duration: Full Time or Contract
Job Description & Skill Requirement:
Qualification:
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Role: Principal Embedded SWE - DSP/EM Navigation
Location: Lafayette, CO (Onsite)
Duration: Full Time or Contract
Job Description & Skill Requirement:
• Analyze and understand existing Python code for electromagnetic field computations.
• Translate Python code into efficient, high-performance C++ code for embedded systems.
• Implement and optimize mathematical and computational algorithms to enhance performance, focusing on manipulating and analyzing data in multidimensional spaces.
• Collaborate with cross-functional teams to ensure the accuracy and efficiency of the code conversion.
• Optimize computation to achieve real-time processing performance on embedded platforms.
• Document code and processes to facilitate future maintenance and updates.
Skillsets:
• 7+ years of experience and working at a Senior or Principal level
• Proficiency in designing, implementing, and optimizing Digital Signal Processing algorithms and with embedded systems design.
• Experience optimizing algorithms for embedded targets that are memory and CPU resource constrained with optimizing computations for real-time processing.
• Experience with DSP hardware and software tools and strong debugging and troubleshooting skills with target tools and environments.
• Experience with real-time operating systems (RTOS) requirements
• Experience with working with C++ mathematical libraries and tools that use linear algebra: matrices, vectors, numerical solvers, and geometric transformations
• Familiarity with microcontrollers, DSP processors, and interfacing to FPGA.
• Experience in agile development methodologies
• Languages: C++, Python, MATLAB
• Familiarity with mathematical and scientific simulations software tools like MATLAB, Eigen, Boost
• Experience working with Git
Qualification:
• Minimum M.S. in Electrical Engineering, Computer Engineering, or Computer Science, Mathematics, or a related field.
• Proven experience in C++ development with a strong understanding of Python.
• Experience in embedded systems programming and development.
• Familiarity with Python libraries used for scientific computations (e.g., NumPy, SciPy).
Preferred Qualifications:
• Background in physics or electrical engineering with a focus on electromagnetic fields.
• Knowledge of electromagnetic field computations and related mathematical concepts, and experience with complex number handling.
• Experience in using mathematical libraries and tools, particularly in the context of linear algebra, geometric transformations, and optimization techniques such as iterative algorithms.
• Experience with software development lifecycle (SDLC) in regulated environment
• Experience with optimizing computations for real-time processing is highly desirable.
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Title: Embedded SWE - Signal Image Processing
Location: Lafayette, CO (Onsite)
Duration: Full Time or Contract
Key Responsibilities
• Design, develop, and optimize embedded vision software using Xilinx Kria SOM
• Develop and integrate with FPGA-based image processing pipelines (ISP) for tasks such as:
o Demosaicing, noise reduction, white balancing, gamma correction, and image enhancement.
• Interface with CMOS image sensors (via MIPI CSI-2 or parallel interfaces) and configure them using I2C/SPI.
• Implement real-time image streaming over USB, Ethernet, or HDMI.
• Perform hardware bring-up of the Kria SOM platform with custom carrier boards connected to camera hardware.
• Work closely with clinical teams to tune imaging for optimal visualization in complex airway structures.
• Ensure compliance with medical device development standards, including software lifecycle (IEC 62304) and risk management (ISO 14971).
Qualification:
• Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, or Computer Engineering.
• 5+ years of experience with embedded software development, FPGA programming, and vision systems.
• Proficient in:
• Strong experience in real-time image acquisition and processing from raw image sensors.
• Hands-on experience with Xilinx ISP cores and integrating AI acceleration on FPGA for vision tasks.
• Understanding of MIPI CSI-2, I2C/SPI protocols, and image data formats (RAW10/12, YUV, RGB).
Preferred Qualifications
• Experience in medical imaging, especially flexible endoscopy or chip-on-tip systems.
• Experience in working with medical-grade video pipelines, including latency optimization and surgeon feedback loops.
• Prior use of Kria KV260 Vision AI Starter Kit or production deployment of Kria SOM in embedded vision systems.
• Familiarity with OpenCV, GStreamer, or V4L2 on embedded Linux.
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