SambaNova Systems - Palo Alto, CA

posted 2 days ago

Full-time - Senior
Palo Alto, CA
Publishing Industries

About the position

SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey.

Responsibilities

  • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs.
  • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack.
  • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data.
  • Enable high throughput and low latency inference applications for at-scale deployment.
  • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications.
  • Work with diverse data types: textual, unstructured, tabular and multimodal data.

Requirements

  • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics
  • 5+ years of industry experience, including 3+ in one or more of the following: Deep learning algorithm development, Compiler, Software-Hardware Co-design
  • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning.
  • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX)
  • Experience in machine learning productization and pipeline development in software engineering
  • Real-world experience in multi-lingual LLM applications training and inference.
  • Real-world experience in vision-language multimodality.
  • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot.
  • Development with DeepSeed, Megatron, vLLM, and TensorRT.

Nice-to-haves

  • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT,..) is a plus.
  • First author in CS/ML publication.

Benefits

  • 95% premium coverage for employee medical insurance
  • 77% premium coverage for dependents
  • Health Savings Account (HSA) with employer contribution
  • Dental insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • Voluntary Life insurance
  • AD&D insurance
  • 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
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