Staff Software Engineer, ML Acceleration

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency in the trucking transportation industry. The Staff Software Engineer for ML Acceleration will focus on accelerating machine learning iterations, optimizing ML models, and promoting engineering excellence within the team.

Responsibilities:

• Analyze ML models to identify and resolve performance bottlenecks
• Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models
• Deliver solutions to streamline model deployment across various hardware platforms
• Collaborate with ML researchers to balance model accuracy and speed
• Implement optimizations using CUDA, Triton, and custom kernels
• Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience (including experience with GPU programming and optimization)
• Strong programming skills in C++ and Python
• Proven experience in GPU programming and optimization
• Familiarity with deep learning frameworks, especially PyTorch
• CUDA programming
• Triton language for GPU kernels
• PyTorch optimization techniques
• TensorRT implementation
• ONNX model conversion and deployment
• Custom GPU kernel development
• Deep understanding of GPU architectures and performance optimization
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Autonomous vehicles (AV) experience is a bonus