What are the responsibilities and job description for the Chief Architect - GPU Orchestration - Cloud Native - Startup - Remote position at Living Talent?
Chief Architect
Cloud Native Orchestration Platform - Cloud Native AI
Startup (revenue-generating, Series A)
Company size : 40
REMOTE first culture
Smart, fun, low-ego team culture
Compensation : Base Salary 200k - 300k Equity
Key Responsibilities :
Extending capabiliti es beyond the current CPU optimization into GPU optimization.
Develop capabilities to help customers rapidly set up ML Environment
Architecture & Development : Kubernetes-based ML / AI platform.
Leadership & Collaboration : with C-staff, product management, engineering, and design partners.
Communication : Create detailed architecture diagrams, documents, and presentations.
Focus on the User Experience (K8s users, Infrastructure Admin, MLOps staff, etc).
Open Source Community : Stay actively involved with CNCF and related projects.
Enterprise-Class Solutions : Drive & deliver solutions for enterprise-class data, ML, AI applications.
FinOps & SRE Best Practices : FinOps for cloud financial management, modern SRE practices.
Qualifications :
Entrepreneurial, Startup Experience
10 years infrastructure level software architecture and development.
Extensive Experience :
Linux, Virtualization platforms (hands-on)
AWS, GCP or Azure.
Strong experience :
Kubernetes-based ML / AI systems (Kubeflow, Kueue, KServe, GPU Operators, DRA, Karpenter)
Deep knowledge :
ML / AI use cases & customer stories of model development, training, inference, & hardware accelerator usage (CPU, GPU, TPU).
Modern cloud-native architectures (scalability, availability, reliability, security, observability).
Proven track record of delivering complex distributed systems.
Active involvement in open-source communities, particularly CNCF and related projects.
Strong leadership and team collaboration skills.
Excellent communication skills, both verbal and written.
Preferred Qualifications :
Knowledge of additional ML / AI frameworks and tools.
Experience in DevOps practices and tools.
Certification in Kubernetes or related technologies.
Awareness of FinOps and SRE best practices
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Chief Architect - GPU Orchestration - Cloud Native - Startup - Remote?
Sign up to receive alerts about other jobs on the Chief Architect - GPU Orchestration - Cloud Native - Startup - Remote career path by checking the boxes next to the positions that interest you.
Not the job you're looking for? Here are some other Chief Architect - GPU Orchestration - Cloud Native - Startup - Remote jobs in the Burlington, MA area that may be a better fit.
We don't have any other Chief Architect - GPU Orchestration - Cloud Native - Startup - Remote jobs in the Burlington, MA area right now.
