Senior Software Architect, Enterprise AI
21 hours ago
Unlock the Power of Generative AI with SambaNova Systems
SambaNova Systems is at the forefront of the generative AI revolution, empowering organizations to unlock hidden value in their data and accelerate processes. As a Principal Software Engineer, you will play a pivotal role in shaping the future of our full-stack, generative AI platform.
The era of pervasive AI has arrived, and organizations are eager to leverage its transformative potential. Our platform, powered by the intelligent SN40L chip, offers a fully integrated solution for enterprise and government organizations. With state-of-the-art open-source models that can be easily fine-tuned using customer data, we enable customers to retain model ownership in perpetuity.
This high-visibility position offers a unique opportunity to shape the future of AI and drive innovation across every aspect of an organization's business and operations. You will be responsible for delivering best-in-class software solutions within SambaStudio, our cutting-edge development environment.
Responsibilities:
- Drive the end-to-end software development lifecycle, ensuring high-quality and timely delivery of features and enhancements.
- Partner with leaders from architecture, engineering management, & product management on project requirements, designs, & development plans
- Keep product quality top of mind by creating automated tests for the software that you help create & helping in code reviews.
- Achieve a deep knowledge of our product architecture, usage patterns, & real-world deployment scenarios to develop an understanding of which solutions will bring value to our customers.
- Contribute to and improve existing systems with architectural and technological decisions for the team.
Salary: $250,000 - $350,000 per annum
Basic Qualifications:
- 8+ years in software engineering and technology architecture with a demonstrated ability to design, implement, and maintain secure, scalable, and resilient systems to support software development and deployment
- Strong computer science fundamentals
- Experience building enterprise-grade software with Python, Go, or other modern programming languages
- Strong technical acumen with Kubernetes and hands on experience with deploying and managing services on clusters using tools like Helm and ArgoCD
Additional Required Qualifications:
- Experience building and deploying robust and secure web APIs and microservices
- Proven ability to lead technical teams and mentor junior members
- Proven startup experience in scaling and supporting engineering teams, with the ability to lead by example and foster a high-performance culture
Preferred Qualifications:
- Deep knowledge of distributed systems. Solid understanding of fundamental CI/CD, DevOps or MLOps development experience will be a plus.
- Security hardening will be a plus.
- Experience with one or more cloud platforms (e.g., AWS, Azure, GCP) and familiarity with related services and tools.
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