Sambanovasystems

Senior AI Performance Engineer

San Jose, California, United States. Posted 11 months ago

The role

You will optimize and scale state-of-the-art foundation models on the SambaNova reconfigurable dataflow platform. You will work across compiler, runtime, and hardware layers to improve throughput, latency, and efficiency.

What you will do

  • Bring up and optimize cutting-edge foundation models on the SambaNova platform through the SambaNova software stack.
  • Profile and enhance model performance across compiler, runtime, and hardware layers.
  • Collaborate with machine learning, compiler, runtime, and hardware teams.
  • Integrate advances in model architecture, quantization, scheduling, and memory optimization.
  • Develop robust, scalable, and efficient end-to-end inference solutions.
  • Identify performance bottlenecks and propose dataflow or scheduling optimizations for single-node and distributed systems.

Required qualifications

  • Bachelor's or higher degree in computer science, electrical engineering, or a related field (e.g., applied mathematics, physics, or statistics).
  • 3+ years of experience in deep learning model development and performance optimization, compiler, runtime, or kernel-level optimization, or software–hardware co-design or systems performance tuning.
  • Proficiency in Python or C++, with strong foundations in algorithms, data structures, and numerical computing.
  • Experience with at least one major ML framework — PyTorch, TensorFlow, or JAX.
  • Demonstrated ability to analyze and optimize performance in real-world ML pipelines.

Nice to have

  • Hands-on experience with LLM or multimodal model training and inference.
  • Background in large-scale distributed training, continuous batching, and high-throughput inference systems.
  • Familiarity with quantization, graph optimization, kernel fusion, and model partitioning.
  • Experience with frameworks such as DeepSpeed, Megatron, vLLM, or TensorRT.
  • Strong GPU programming skills (CUDA, Triton, or OpenCL).
  • Experience with cuDNN, cuBLAS, or similar libraries is a plus.
  • Knowledge of memory hierarchy optimization, caching, and scheduling for large-scale model execution.
  • Publication record or open-source contributions in ML systems or performance optimization is a plus.

Benefits

  • Base salary plus equity
  • 95% premium coverage for employee medical insurance
  • 77% premium coverage for dependents
  • Health Savings Account (HSA) with employer contribution
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
  • Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care
  • Full subscription to Headspace
  • Gympass+ membership with access to physical gyms
  • One Medical membership
  • Counseling services with an Employee Assistance Program

Before you apply

  • You must submit an application form for each position for which you believe you are qualified.

About the company

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide.

Senior AI Performance Engineer at Sambanovasystems | JobZoey