Working at SambaNova
SambaNova Systems is hiring a Senior Principal Solution 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
- Customer Engagement:
- Lead technical deep-dive discussion sessions with customers
- Analyze, synthesize and confirm customer use cases and requirements
- Prepare and deliver PoC demos for clients
- Solution Development, Validation and Triage:
- 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
- Documentation: Maintain comprehensive documentation of the solutions provided, E2E workflows, along with best practices for addressing challenges in various industries.
- Continuous Learning: Stay up-to-date with the latest developments in AI/ML and different industries to drive innovation.
Basic Qualifications
- 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.
Additional Required Qualifications
- 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
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