DeepSight Technology
Staff Software Engineer, GPU Algorithms
- Compensation
- Not disclosed
- Location
- Santa Clara, CA, US
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- BS in an engineering or computer science field
- Familiarity in ultrasound physics, signal and image processing, beamforming, simulation, algorithm development, or tool development
- Strong background in object-oriented programming, software architecture, and design patterns
- Proficiency with C++ programming
- Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL, Halide)
- Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing
- Passionate about medical devices, with excellent communication and teamwork skills
Full description
Staff Software Engineer, GPU Algorithms
We are looking for a full-time Staff Software Engineer, GPU Algorithms with a strong background in ultrasound, medical image reconstruction, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform.
As a Staff Software Engineer, you will work on developing and optimizing GPU algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this software engineering role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system.
WE OFFER GREAT BENEFITS AND PERKS TO OUR SOFTWARE ENGINEERING TEAM:
- Competitive salary of $170,000-$220,000
- Stock options
- Medical, dental, and vision insurance
- 401(k) retirement plan
AS A STAFF SOFTWARE ENGINEER SPECIALIZING IN GPU ALGORITHMS, YOUR RESPONSIBILITIES ARE:
- Developing advanced beamforming techniques to enhance the spatial resolution and image quality of ultrasound scans.
- Designing algorithms for image enhancement, noise reduction, edge detection, and speckle reduction in ultrasound images.
- Developing algorithms for reconstructing 2D or 3D images from acquired ultrasound data. This involves handling data interpolation, scan conversion, and geometric transformations.
- Designing algorithms to extract relevant features and perform segmentation of structures or regions of interest in ultrasound images.
- Developing techniques to compensate for motion artifacts caused by patient movement or tissue motion during ultrasound scanning. This can involve image registration, motion estimation, and correction algorithms.
- Exploring the application of machine learning and artificial intelligence (AI) techniques to improve ultrasound image analysis, automate diagnosis, or assist in image interpretation tasks.
- Collaborating with systems and hardware engineers to optimize the integration of ultrasound imaging systems, ensuring efficient data acquisition, processing, and display.
- Implement proposed solutions using C++ and CUDA programming languages.
REQUIRED QUALIFICATIONS:
- BS in an engineering or computer science field
- Familiarity in ultrasound physics, signal and image processing, beamforming, simulation, algorithm development, or tool development
- Strong background in object-oriented programming, software architecture, and design patterns
- Proficiency with C++ programming