De Circle

60 De Circle Full Stack Software Engineer Jobs Hiring Near You

Semiotic Labs - Rust Engineer

San Francisco, CA · On-site +1

$67.75 - $91/hr

We are a team of multidisciplinary experts in artificial intelligence, cryptography, and software engineering who collaborate to build solutions for unsolved problems in web3. We work on challenges ...

Steakhouse Finance - Senior Engineer

New York, NY · On-site +1

$114K - $157K/yr

Role Overview As a Senior Market Infrastructure Software Engineer, you will lead the development of core market infrastructure powering decentralized finance markets. You will design, build, and ...

Chaos Labs - AI Engineer

New York, NY · On-site +1

$130K - $150K/yr

Mentor engineers and establish agentic best practices * 5+ years software engineering; 2+ years building production AI/ML systems * Hands-on experience with agentic architectures and tool calling

Data & BI Engineer - Odos

San Francisco, CA · On-site +1

$134K - $162K/yr

Role Overview We are seeking a Data & BI Engineer responsible for the design, reliability, and scalability of Odos's transaction data pipelines, business intelligence metrics, and Tableau dashboards

... programmable control over how money moves in their ecosystems, and giving financial institutions ... Hands-on mastery across the full creative stack: brand identity, art direction, copywriting, design ...

Polymarket - Senior Platform Engineer

New York, NY · On-site +1

$134K - $176K/yr

About the role Polymarket is looking for a world-class backend engineer to join our platform engineering team as we scale. The ideal candidate is obsessed with performance, security, and scalability ...

Role Overview We're looking for a Protocol Engineer to join our core blockchain team and help build the foundation of Web3 payments infrastructure. This high-impact role offers the opportunity to ...

Odos - Integrations

San Francisco, CA · On-site +1

$122K - $164K/yr

About the Role Odos is looking for a fast-paced, detail-oriented Integration Engineer to join our lean, high-impact team. You'll own the full lifecycle of integrating new liquidity sources into the ...

We are looking for a Senior Smart Contract Engineer to help architect and build the core primitives behind Spark's vault infrastructure, AMM integrations, and yield-generating systems. This is a ...

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Hyperbolic Labs - Senior GPU Infrastructure Engineer

De Circle

San Francisco, CA • On-site, Remote

$127K - $173K/yr

Full-time

Posted 17 days ago


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