Overview
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
At Nscale, our Software engineers form the backbone of our product offering. We build state of the art AI products allowing our clients to move quickly in an increasingly competitive digital landscape. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. If you join our team, you’ll be contributing to building the technology that powers the future.
What You'll Be Doing
- Build and own the control plane and data plane services that power our cloud platform. Contribute to APIs and SDKs for platform consumption, implement reliable distributed state management and storage systems, and create services that coordinate workload scheduling and orchestration across multiple regions.
- Engineer the infrastructure for processing and managing high-throughput workloads and distributed data flows. Solve complex challenges around data capture, storage, and accessibility for AI/ML training and inference.
- Drive technical decisions for your systems and champion engineering best practices across the team. Uphold high standards for reliability, testing, monitoring, and CI/CD in a fast-paced, research-driven environment, and provide technical mentorship to engineers on your team.
- Own the operational health of your systems in production. Implement observability, respond to incidents, optimise performance, and continuously improve reliability based on production feedback and metrics.
- Develop entirely new platform services and methods, leveraging cloud-native technologies and AI to create novel platform and product capabilities.
About You (Skills / Qualifications)
- Extensive hands-on experience designing, building, and operating scalable production systems on or for a major cloud provider (e.g., AWS, GCP), including data-intensive distributed workflows, backend services, and APIs.
- Use AI tools as a core part of your development workflow — not as a novelty — and are committed to mastering how to collaborate with AI while maintaining high code quality and architectural coherence.
- Strong proficiency with typed languages. Our primary stack is Go, with some services in Rust and Python. Comfortable working across different languages and applying various technical approaches to find the best solution.
- Experience delivering multi-service distributed systems from ambiguous requirements to high-adoption operational systems in production, with hands-on experience in day 2 operations including monitoring, alerting, incident response, and performance optimisation at scale.
- Thrives in an ambiguous, fast-paced environment with high levels of agency and ownership. Pragmatic problem-solver who is biased towards action and impact.
Nice To Have
- Experience designing developer-friendly APIs, SDKs, or platform services that customers and other teams depend on
- Experience with Kubernetes, infrastructure-as-code (Terraform, Pulumi), event-driven architectures, and message queues (NATS, Kafka, RabbitMQ)
- Experience with GPU orchestration and workload scheduling for AI/ML inference and training workloads
- Contributions to open-source projects in the cloud-native ecosystem
- Comfortable contributing throughout the stack including frontend to accelerate delivery when needed
What We Can Offer You
- Highly competitive package (base + equity) with reviews every 12 months.
- Join a fast-growing tech startup and work on cutting-edge AI with brilliant minds.
- Dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact with full support.
- Human-First Flexibility: flexible workplace with autonomy to shape your day around life moments.
Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you wherever you work.
Equal Opportunities Statement
At NScale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
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Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
At Nscale, our Software engineers form the backbone of our product offering. We build state of the art AI products allowing our clients to move quickly in an increasingly competitive digital landscape. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. If you join our team, you’ll be contributing to building the technology that powers the future.
What You’ll Be Doing
- Build and own the control plane and data plane services that power our cloud platform. Contribute to APIs and SDKs for platform consumption, implement reliable distributed state management and storage systems, and create services that coordinate workload scheduling and orchestration across multiple regions.
- Engineer the infrastructure for processing and managing high-throughput workloads and distributed data flows. Solve complex challenges around data capture, storage, and accessibility for AI/ML training and inference.
- Drive technical decisions for your systems and champion engineering best practices across the team. Uphold high standards for reliability, testing, monitoring, and CI/CD in a fast-paced, research-driven environment, and provide technical mentorship to engineers on your team.
- Own the operational health of your systems in production. Implement observability, respond to incidents, optimise performance, and continuously improve reliability based on production feedback and metrics.
- Develop entirely new platform services and methods, leveraging cloud-native technologies and AI to create novel platform and product capabilities.
About You (Skills / Qualifications)
- Extensive hands-on experience designing, building, and operating scalable production systems on or for a major cloud provider (e.g., AWS, GCP), including data-intensive distributed workflows, backend services, and APIs.
- Use AI tools as a core part of your development workflow — not as a novelty — and are committed to mastering how to collaborate with AI while maintaining high code quality and architectural coherence.
- Strong proficiency with typed languages. Our primary stack is Go, with some services in Rust and Python. Comfortable working across different languages and applying various technical approaches to find the best solution.
- Experience delivering multi-service distributed systems from ambiguous requirements to high-adoption operational systems in production, with hands-on experience in day 2 operations including monitoring, alerting, incident response, and performance optimisation at scale.
- Thrives in an ambiguous, fast-paced environment with high levels of agency and ownership. Pragmatic problem-solver who is biased towards action and impact.
Nice To Have
- Experience designing developer-friendly APIs, SDKs, or platform services that customers and other teams depend on
- Experience with Kubernetes, infrastructure-as-code (Terraform, Pulumi), event-driven architectures, and message queues (NATS, Kafka, RabbitMQ)
- Experience with GPU orchestration and workload scheduling for AI/ML inference and training workloads
- Contributions to open-source projects in the cloud-native ecosystem
- Comfortable contributing throughout the stack including frontend to accelerate delivery when needed
What We Can Offer You
- Highly competitive package (base + equity) with reviews every 12 months.
- Join a fast-growing tech startup and work on cutting-edge AI with brilliant minds.
- Dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact with full support.
- Human-First Flexibility: flexible workplace with autonomy to shape your day around life moments.
Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you wherever you work.
Equal Opportunities Statement
At NScale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
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