Senior Software Engineer building and improving AI management systems for healthcare startup. Collaborating with cross - functional teams to address high - level engineering challenges.
About the role
- GPU Software Engineer developing GPU-accelerated software for real-time analysis on DNA sequencing instruments. Collaborating on neural network implementations and complex technical solutions.
Responsibilities
- Develop GPU-accelerated software targeted for real-time analysis on a DNA sequencing instrument
- Implement neural network algorithms on GPU, optimized for our unique characteristics of very high throughput and model types
- Be proficient in C++ and CUDA, and have familiarity in Python for modeling-related tasks
- Self-motivation to individually research and design solutions for complex technical problems
- Author dependable, readable, maintainable, and well-structured code, and encourages best practices with the team
Requirements
- BS in Computer Science, Computer Engineering, or related field plus 5 years of direct related experience
- MS/PhD is a plus
- Object-oriented programming in C++ and experience with GPU-accelerated C/C++ libraries such as CUDA, cuDNN, or Thrust
- Advanced experience in systems programming, specifically writing, debugging, and optimizing parallel (CPU and GPU) Linux applications
- Good understanding of machine learning, particularly neural networks
- Experience with a deep learning framework, such as PyTorch, JAX, or TensorFlow
- Basic experience with Python
- Ability to multitask and work with little direction in a collaborative fast-paced environment
- Strong problem-solving skills and ability to track software issues to successful resolution
- Excellent oral and written communication skills, and interpersonal communication skills with internal and external partners
Benefits
- A competitive salary with a rich benefits package
- Discretionary annual bonus based on performance
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