Top 9 Devsecops research Jobs

Hyperbolic Labs - Senior GPU Infrastructure Engineer
deCircle —San Francisco, CA
- Full-time
- Remote
- DevOps
- Senior level
- Communication skills
Quick Apply
Security Research Engineering Technical Leader
Cisco Systems, Inc. —Raleigh, NC
- $121,200 - $176,100 a year
- Full-time
- Computer Science
- DevOps
- Windows
- Employee stock purchase plan
- Paid holidays
Quick Apply
DevSecOps Research and Development Engineer
Penn State University —University Park, PA
- $76,700 - $129,500 a year
- Online Application
- Background check
- Pass drug screening
- Children
- Paid holidays
- Health insurance
Secure Research Devops Engineer
Old Dominion University —Norfolk, VA
- $75,423 a year
- Full-time
- Mid-level
- Windows
- AWS
Secure Research Devops Engineer
VP DIGITAL TRANSFORMATION & TECHNOLOGY —Norfolk, VA
- Full-time
- Research
- Windows
- Analysis skills
Senior R&D DevOps Engineer
FANUC America —Rochester Hills, MI
- Computer Science
- 5 years
- Master's degree
- Wellness program
- Disability insurance
Senior Specialist, Security Research Engineer
L3Harris Technologies —Washington, DC
- $111,500 - $207,500 a year
- 8 hour shift
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
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Hyperbolic Labs - Senior GPU Infrastructure Engineer

deCircle
San Francisco, CA

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Job Details

Full-time

Qualifications

Continuous Delivery (CD) implementation
Distributed file systems
Infrastructure as Code (IaC)
DevOps
Configuration management
Object storage systems
Infrastructure architecture design
Virtualization projects
Production systems
Computer hardware
Distributed systems
Terraform
Vendor communication
Server virtualization
Storage management (system administration)
Cloud Architecture Design (Architecture design skills)
Cloud automation
Distributed computing
DevOps automation
API integrations
Senior level
Cross-functional collaboration
Server configuration
Cloud storage services
Communication skills
Cross-functional communication

Full Job Description

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.

As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.

About the Role

We're seeking a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.

Who You Are

Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
Proficiency with API design and cloud-init for automated provisioning and configuration
Solid understanding of GPU architecture, CUDA, and GPU compute optimization
Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
Experience building and scaling cloud infrastructure or distributed systems in production environments

Quick Apply

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devsecops research jobs

Hyperbolic Labs - Senior GPU Infrastructure Engineer

Security Research Engineering Technical Leader

DevSecOps Research and Development Engineer

Secure Research Devops Engineer

Secure Research Devops Engineer

Senior R&D DevOps Engineer

Senior Specialist, Security Research Engineer

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