Lead architect and operator of the data layer for a vertically integrated AI cloud, managing worldwide storage environment and influencing vendor roadmaps.
Compensation
Compensation will be paid in the range of up to $215,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Evaluate performance of block, file, and object storage systems
Design and execute PoC exercises
Own bring-up, configuration, and performance tuning of large enterprise arrays
Collaborate with Compute and Networking teams to build cloud infrastructure
Lead technical evaluation of new storage technologies
Design and build the AI data layer for a multi-cloud GPU fleet, including data placement, caching, and lifecycle management, while owning reliability and capacity across research teams.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and build the AI data layer for a multi-cloud GPU fleet
Build high-throughput data paths for training and RL
Build Kubernetes-native APIs, operators and storage integrations
Own quotas, capacity and data lifecycle across hundreds of research teams
Measure workloads use of data and build I/O telemetry
Requirements
BS or MS in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience
Design and deploy large-scale HPC and GPU infrastructure and architect scalable AI solutions on OCI, serving as a technical advisor for enterprise customers.
Responsibilities
Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI)
Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes.
Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements.
Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline
Nice to have: Experience with Oracle Cloud Infrastructure (OCI)
Nice to have: Experience with large GPU clusters based on Kubernetes and/or Slurm
Nice to have: Experience supporting AI startups, research organisations, or enterprise AI programmes
Nice to have: Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud)
Staff Software Engineer to build and operate large-scale services for Splunk Cloud, using AWS, GCP, and Kubernetes to handle large volumes of data.
Compensation
$151,600.00 to $222,400.00
Responsibilities
Own features end-to-end across the complete software development lifecycle including AI, spanning requirements gathering, technical design, implementation, testing, automation, deployment, and ongoing operational ownership in production.
Translate customer and business needs into clear technical solutions.
Design, build and maintain highly scalable, distributed systems.
Identify and resolve pre-production bottlenecks and production issues, improving system resilience and performance.
Participate in design and code reviews, contributing to shared engineering standards and long-term system health.
Requirements
Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience
Backend engineer responsible for building and maintaining the core backend services of Triumph Arcade, including matchmaking, real‑time multiplayer, rewards, fraud detection, and scalability.
Compensation
Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.
Responsibilities
Build consumer facing features to help Triumph's core business metrics
Work closely with data team to solve difficult data driven problems
Help drive complex solutions into production
Iterate on engineering processes to allow the growing team to ship fast
Build and evolve async tournaments, blitz, streaks, leagues, challenges and new formats
Lead and own the global infrastructure operations for Runware’s AI inference platform, managing servers, storage, networking, and a high‑performance team across US and Europe.
Responsibilities
Build and run global infrastructure operations across pod sites in the US and Europe
Own server, storage and network layers end‑to‑end
Define site go‑live processes and automate deployment
Set reliability targets and manage capacity planning
Hire, lead and develop a high‑performance engineering team
Staff Storage EngineerNewCrusoe · Sunnyvale, US
Principal Cloud Architect – HPC/GPU & AI Platform SolutionsOracle · Hong Kong, China
Staff Software EngineerCisco · Durham, US
Software Engineer, Arcade (Backend)Triumph · San Francisco, US