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.