Senior Principal Solution Engineer
AI Systems
Confirmed live in the last 24 hours
SambaNova Systems

51-200 employees

Hardware for AI
Company Overview
SambaNova's mission is to enable the future of AI today by providing purpose-built deep learning solutions, delivered as a service and deployable in weeks rather than years to accelerate AI adoption and value creation.
AI & Machine Learning
Financial Services
Government & Public Sector

Company Stage

Series D

Total Funding

$1.1B

Founded

2017

Headquarters

Palo Alto, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

1%

2 year growth

1%
Locations
Palo Alto, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Pytorch
Data Analysis
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
Requirements
  • Bachelor's or Master's degree in a relevant field, such as Computer Science, Electrical Engineering, Applied Math or related disciplines.
  • 7+ years of proven experience in the AI/ML related fields with a strong track record of solving complex AI System issues across domains.
  • Strong problem solving skills
  • Strong communication and collaboration skills
  • Strong programming skills in Python
  • Strong data analysis skills
  • Proficiency in AI/ML frameworks and tools (e.g., PyTorch etc.)
  • Extensive experience working with software and hardware teams in building AI System solutions
  • Solid understanding of LLM models and extensive experience with model performance and accuracy evaluation
  • Good understandings of computer architecture and AI accelerator architecture
  • Model roofline analysis is a plus
Responsibilities
  • Lead technical deep-dive discussion sessions with customers
  • Analyze, synthesize and confirm customer use cases and requirements
  • Prepare and deliver PoC demos for clients
  • Architect and develop E2E AI System solutions based on use-case analysis
  • Fine-tune domain-specific models (large language models, vision models) and workflows that are tailored to address industry-specific challenges
  • Plan and drive rigorous testing and validation of E2E performance and accuracy
  • Drive cross-functional triage on any AI System issues
  • Maintain comprehensive documentation of the solutions provided, E2E workflows, along with best practices for addressing challenges in various industries
  • Stay up-to-date with the latest developments in AI/ML and different industries to drive innovation.