GPU Software Engineer (Remote - US) at Jobgether

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GPU Software Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GPU Software Engineer in the United States.. We are seeking a GPU Software Engineer to develop high-performance, GPU-accelerated software for real-time DNA sequencing analysis. This role involves implementing neural network algorithms on GPU architectures, optimizing data processing pipelines, and supporting the deployment of cutting-edge diagnostic technologies. You will collaborate with cross-functional teams, research and design innovative solutions, and ensure high-quality, maintainable software. The position requires deep knowledge of GPU programming, parallel computing, and machine learning frameworks. This role offers the opportunity to contribute to life-changing healthcare solutions while working in a collaborative and fast-paced environment. Remote work is possible for exceptional candidates, though proximity to the Bay Area, California is preferred.. . Accountabilities. Develop GPU-accelerated software for real-time data analysis on sequencing instruments.. Implement and optimize neural network algorithms for high-throughput processing.. Write, debug, and maintain high-quality, object-oriented C++ and CUDA code.. Collaborate with teams to integrate software with hardware and ensure system-level performance.. Participate in research and design to resolve complex technical challenges and improve performance.. Support software deployment, testing, validation, and post-go-live troubleshooting.. Apply best practices in coding, documentation, and software design to ensure maintainability and reliability.. . Bachelor’s degree in Computer Science, Computer Engineering, or a related field; MS/PhD preferred.. 5+ years of experience in GPU programming and parallel computing.. Expertise in C++ and CUDA; familiarity with Python for modeling tasks.. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.. Understanding of neural network modeling, training, and inference optimization on GPUs.. Advanced knowledge of Linux systems programming and performance optimization.. Strong problem-solving skills, ability to work independently, and manage multiple priorities.. Excellent oral and written communication skills, and ability to collaborate across teams.. Willingness to travel occasionally and adapt to fast-paced development cycles.. . Company Location: United States.