About the Role
This position involves deep collaboration with external technology partners to integrate advanced AI capabilities into scalable, open-source solutions, with a focus on system architecture, performance optimization, and developer enablement.
Responsibilities
- Collaborate with partner engineering teams to align integration roadmaps
- Design and implement system-level software integrations for AI platforms
- Diagnose and resolve complex interoperability issues across hardware and software layers
- Develop reference architectures for enterprise deployment scenarios
- Contribute to open-source projects related to AI infrastructure
- Document integration patterns and best practices for internal and external use
- Support go-to-market initiatives through technical enablement
- Work closely with quality assurance teams to validate integration points
- Optimize system performance for AI workloads on enterprise hardware
- Translate partner requirements into technical implementation plans
- Participate in joint design reviews with external engineering teams
- Maintain up-to-date knowledge of AI and machine learning trends
- Assist in the development of proof-of-concept implementations
- Ensure compliance with security and scalability standards
- Provide feedback to upstream projects based on integration findings
- Drive resolution of critical technical escalations
- Facilitate knowledge transfer across distributed teams
- Evaluate new technologies for compatibility with existing platforms
- Support field teams with technical guidance during customer engagements
- Contribute to continuous improvement of integration methodologies
- Coordinate release timelines with cross-functional stakeholders
- Promote developer experience through tooling and automation
- Ensure documentation reflects real-world deployment scenarios
- Advocate for customer needs within engineering and product teams
- Maintain alignment with long-term platform strategy
Nice to Have
- Experience with Nvidia GPU platforms and software stack
- Familiarity with CUDA or related acceleration libraries
- Contributions to AI infrastructure projects
- Knowledge of data center networking and storage
- Experience in developer tools or SDKs
- Exposure to machine learning operations (MLOps)
- Background in technical partnerships or alliances
- Understanding of firmware and driver interactions
- Involvement in performance benchmarking initiatives
- Prior work with enterprise AI deployment
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid remote with regional considerations
Team
Part of a global engineering team focused on open-source integration and collaboration with leading technology partners
About the Team
This role is part of a specialized engineering group focused on deep collaboration with strategic hardware and software partners to deliver integrated solutions for enterprise AI.
What You'll Achieve
You will enable seamless adoption of AI technologies by building robust integrations between enterprise platforms and cutting-edge hardware, improving developer productivity and system reliability.
Available for qualified candidates
