Hyperbolic Labs

Senior Accountant

Hyperbolic Labs

11 days ago

## **Who We Are** 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 our first **Accountant** to establish and own the financial operations foundation for Hyperbolic as we scale our GPU marketplace and AI infrastructure business. This is a foundational role where you'll build accounting processes from the ground up, manage day-to-day financial operations, and work closely with leadership to ensure accurate financial reporting and compliance. You'll be responsible for the full accounting cycle, from accounts payable and receivable to month-end close and financial reporting, while helping us navigate the unique challenges of operating a two-sided marketplace with hundreds of GPU suppliers and thousands of customers. In this role, you'll: - Own general ledger accounting and reconciliations. - Manage accounts payable and accounts receivable workflows. - Prepare monthly financial statements and reports. - Coordinate with our external accounting firm and auditors. - Establish and document accounting policies and internal controls. - Handle sales tax compliance and reporting across multiple jurisdictions. - Support financial planning and budgeting processes. You'll work cross-functionally with our engineering, product, and operations teams to ensure billing accuracy, revenue recognition, and financial data integrity as we process payments between customers and suppliers at scale. This is a high-impact opportunity to build the accounting function at a fast-growing AI infrastructure startup. ## **Who You Are** - 8+ years of accounting experience with strong foundation in full-cycle accounting, including AP, AR, general ledger, and month-end close. - Bachelor's degree in Accounting, Finance, or related field; CPA or CPA candidate strongly preferred. - Deep understanding of GAAP accounting principles and financial reporting standards. - Experience with QuickBooks and implementing AI accounting systems. - Strong Excel skills and financial modeling experience. - Detail-oriented with exceptional accuracy in data entry, reconciliations, and financial reporting. - Self-starter mentality with ability to build processes and systems from scratch in a fast-paced startup environment. - Strong organizational and time management skills to handle multiple priorities and meet deadlines. - Excellent communication skills with ability to explain financial concepts to non-finance stakeholders. - Comfortable working collaboratively across teams and building relationships with external partners (auditors, tax advisors, banking partners). ## **Preferred Qualifications** - Experience at a high-growth technology startup or SaaS company. - Familiarity with marketplace or two-sided platform business models and their unique accounting challenges. - Knowledge of revenue recognition standards (ASC 606) for subscription and usage-based businesses. - Experience with sales tax compliance, nexus determination, and multi-state tax reporting. - Background working with external accounting firms and managing audit processes. - Experience implementing or improving accounting systems, tools, and automation. - Familiarity with venture-backed startups and their financial reporting requirements. - Interest in technology and AI with desire to understand the business deeply. *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

Senior AI Infrastructure Engineer

Hyperbolic Labs

16 days ago

## **Who We Are** 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 ## **Preferred Qualifications** - Familiarity with high-performance networking technologies such as InfiniBand and RoCE (RDMA over Converged Ethernet) - Experience with distributed storage systems such as Ceph, Weka, or VAST Data *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

Senior Site Reliability Engineer

Hyperbolic Labs

16 days ago

## **Who We Are** 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 **Site Reliability Engineer** to ensure Hyperbolic's GPU marketplace and AI infrastructure operate with exceptional reliability, performance, and security. As an aggregator of compute resources from hundreds of global suppliers, our SLOs, trust, and economic efficiency are product-critical. You'll be responsible for defining and maintaining service level objectives for job success rates, building robust incident response systems, managing capacity across our distributed GPU network, and implementing secure rollout and rollback mechanisms that keep our platform running smoothly 24/7. In this role, you will: * Establish the reliability standards that define customer trust in our platform. * Design monitoring and alerting systems that provide deep visibility into our infrastructure. * Build automation for capacity management and resource allocation. * Lead incident response and post-mortem processes. * Work closely with engineering teams to improve system resilience. * Focus on security and infrastructure hardening, ensuring strong isolation between tenants and suppliers, implementing key management systems, and building compliance frameworks. This is a high-impact position where your work directly influences our ability to deliver on our promise of affordable, accessible AI compute at scale. ## **Who You Are** * Expert in site reliability engineering with proven experience defining, monitoring, and maintaining SLOs and SLAs for production systems. * Strong background in capacity planning and management, including forecasting, resource allocation, and cost optimization for distributed systems. * Experienced in incident response, on-call rotations, and post-mortem processes with a track record of reducing MTTR and improving system resilience. * Deep knowledge of deployment systems including progressive rollouts, canary deployments, feature flags, and automated rollback mechanisms. * Proficient in observability tools and practices including metrics, logging, tracing, and alerting systems (Prometheus, Grafana, ELK stack, or similar). * Strong understanding of infrastructure security including tenant isolation, workload isolation, network segmentation, and security hardening. * Experience with secrets management, key management systems (KMS), certificate management, and secure credential rotation. * Knowledge of compliance frameworks and security best practices for cloud platforms (SOC 2, ISO 27001, or similar). * Excellent problem-solving skills with ability to debug complex distributed systems issues under pressure. * Strong automation mindset with experience using infrastructure-as-code, configuration management, and CI/CD pipelines. ## **Preferred Qualifications** * Experience operating GPU infrastructure, AI/ML platforms, or compute marketplaces at scale. * Background in distributed systems, peer-to-peer networks, or decentralized infrastructure. * Knowledge of multi-tenancy security patterns, container security, and runtime security tools. * Experience with chaos engineering, fault injection, and resilience testing. * Familiarity with cost optimization strategies for cloud infrastructure and GPU resources. * Experience building and operating systems with demanding uptime requirements (99.9%+ SLAs). * Background at companies like AWS, Google Cloud, Azure, or fast-growing infrastructure startups. * Contributions to open-source reliability, observability, or security tools. *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

Head of Marketing

Hyperbolic Labs

51 days ago

## **Who We Are** 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 **Head of Marketing** to build and lead our marketing function from the ground up. This is a foundational role where you'll own demand generation strategy and execution. You’ll drive both product-led and sales-led growth for our GPU marketplace and AI infrastructure platform. You'll collaborate closely with product, sales, and engineering teams to build our go-to-market engine, focusing on sign-ups, leads, and creating systematic marketing processes that reach and convert highly technical audiences. ## **Who You Are** - 5+ years of marketing experience and a proven track record in demand generation, with measurable results driving leads and sign-ups - Expert in paid advertising, SEO, and organic growth strategies - Proficient with HubSpot and modern marketing technology stacks - Experience at a technical company marketing to technical audiences - Proven ability to build systematic marketing processes and frameworks from scratch or at very early stage - People management experience with the ability to lead, develop, and delegate to team members - Highly quantitative mindset focused on metrics, conversion rates, and understanding how users sign up and engage with products - Strong interpersonal and communication skills for effective cross-functional collaboration with product, sales, and engineering - Experience building a marketing function from scratch or being part of an early marketing team in a startup environment ## **Preferred Qualifications** - Deep knowledge of GPU compute, AI infrastructure, or cloud computing space - Experience developing and executing referral program tactics - Track record of proactive channel growth tactics and creative experimentation - Experience delegating tasks and projects to marketing support positions or agencies *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* *When applying, mention the word CANDYSHOP to show you read the job post completely.*

Senior Data Analyst

Hyperbolic Labs

51 days ago

## **Who We Are** 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 our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights. As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands. ## **Who You Are** - 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership - Strong SQL and Python scripting skills for data manipulation and analysis - Expert at data debugging and ensuring data correctness with a proactive approach to data health - Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar) - Exceptional attention to detail with consistent review and improvement of data systems - Strong communication and collaboration skills with the ability to articulate complex data insights to leadership - Experience working with highly technical teams and understanding technical business models - Proactive in seeking clarification when needed and comfortable navigating ambiguity - Ability to accept direct feedback and continuously improve ## **Preferred Qualifications** - Experience in GPU compute infrastructure or cloud computing space - Background in AI infrastructure or related technical domains - Data engineering skills or familiarity with data pipeline development - Experience at high-growth, early stage, technical companies *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

Head of Infrastructure

Hyperbolic Labs

116 days ago

## **Who We Are** Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle 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, backed by industry leaders, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing. ## **About the Role** We are hiring a **Head of Infrastructure** to lead the design, evolution, and reliability of Hyperbolic’s globally distributed GPU cloud. This role sits at the center of our mission: you will architect and scale the systems that power our peer-to-peer GPU marketplace, inference fabric, and core platform primitives. You’ll own the infrastructure roadmap end-to-end—from distributed systems design and resource orchestration to networking, security, and global capacity strategy. You’ll grow and mentor a world-class engineering organization, establish engineering excellence standards, and partner closely with Product, Security, Platform, and GTM leadership to translate future AI workloads into infrastructure reality. ## **Who You Are** You are an infrastructure leader with a track record of scaling complex systems, guiding high-impact teams, and making deeply technical decisions in environments where reliability and performance are existential. ### **Leadership & Strategic Execution** - 10+ years in infrastructure, systems engineering, or distributed systems, including 5+ years leading managers and senior ICs. - Proven ability to own multi-year infrastructure roadmaps, align stakeholders, and translate ambiguous requirements into crisp technical direction. - Experience building, scaling, and mentoring high-performing engineering orgs across infrastructure, platform, and SRE disciplines. - Exceptional judgment in balancing velocity with reliability, cost, and security. - Comfortable working in fast-moving, high-stakes environments where infrastructure is the product. ### **Technical Depth & System Design** - Deep expertise in distributed systems, operating systems internals, networking, and resource orchestration. - Hands-on experience with container orchestration systems (Kubernetes, Nomad, SLURM, custom schedulers) at global scale. - Strong engineering background with the ability to read and write production code (Go, Rust, Python, or similar). - Experience architecting multi-cloud + on-prem + edge topologies, including GPU-centric workloads. - Expert-level understanding of infrastructure-as-code, automation frameworks, and GitOps workflows. - Expertise in designing observability systems (metrics, tracing, logging, alerting) and building operational excellence. ### **Operational Excellence & Security** - A track record of owning 99.9–99.99% uptime targets, incident response processes, and resilience engineering. - Passionate about security-first infrastructure, including workload isolation, network security, IAM, hardening, and compliance. - Experience leading major capacity planning, load forecasting, and cost optimization initiatives. ### **Bonus Experience** - Contributions to open-source infra tools, kernels, schedulers, or distributed systems libraries. - Familiarity with service mesh, mTLS, RPC frameworks, or low-latency communication patterns. ## **Why You Should Join Us** - **High impact:** your work affects the entire stack and enables all engineering teams. - **Ownership:** you’ll own production systems and have real autonomy. - **Learning:** exposure to new infrastructure challenges and the chance to grow. - **List of perks & benefits:** e.g. equity, health, remote policy, hardware budget, offsites, etc. - **Inclusive culture:** we strive to build a diverse, supportive team. *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

Member of Technical Staff - Full Stack

Hyperbolic Labs

116 days ago

## **Who We Are** Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle 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, backed by industry leaders, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing. ## **About the Role** As a **Full Stack Engineer** at Hyperbolic Labs, you’ll work closely with our Product and Engineering teams to design, build, and scale end-to-end applications that power our AI cloud platform. You’ll contribute across the stack — from infrastructure and backend systems to intuitive frontend interfaces — helping us deliver a seamless experience for our GPU marketplace, inference tools, and platform services. In this role, you’ll be deeply involved in shaping both our product and the technology behind it. You’ll architect scalable systems, implement new features, and continuously improve our development practices to support rapid growth. This is a high-impact role where you’ll collaborate with talented engineers to build the backbone of Hyperbolic’s core products. ## **Who You Are** - 8+ years of experience in full-stack development, preferably in high-growth product environments. - Expert in TypeScript, with Python fluency for backend systems. - Experience with Drizzle ORM, Postgres, and Vercel and Github-based CI/CD pipelines. - Strong product sense — you care about user experience as much as technical elegance. - Effective communicator who thrives in fast-paced, cross-functional teams. - Demonstrated experience shipping production-ready features end-to-end. - Skilled in structuring, running, and interpreting A/B and multivariate experiments to inform data-driven product decisions. - Experience designing and building large-scale applications, from data modeling and API design to front-end architecture. ## **Preferred Qualifications** - Strong Python expertise and familiarity with scripting for automation or integration. - Experience working on AI developer tools or at-scale distributed systems. - Experience with Supabase, Figma, or design collaboration workflows. - Familiarity with A/B testing and feature flag systems (PostHog). - Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and AI integration patterns. - Previous leadership or mentorship experience within engineering teams. - Passion for building tools that empower developers and accelerate innovation. *Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.