Infrastructure Software Engineer, Fleet & Automation

Nscale is the GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. We enable AI-focused companies to achieve superior results by reducing the complexity of AI development, supporting strategic business outcomes like cost management, rapid innovation, and environmental responsibility. Our culture thrives on relentless innovation, ownership, and accountability, where every team member drives excellence and urgency.

About the role

As an Infrastructure Software Engineer for Fleet & Automation, you will be a critical member of the AI Infrastructure Operations team. Your work will focus on building and maintaining the control plane, tooling, and automation that supports Fleet Operations, Network Operations, and Observability functions. Your contributions will directly improve system availability and reduce operational costs.

Responsibilities

• Perform technical architecture, roadmap, and implementation for workflow automation systems, balancing automation complexity, reliability, and maintainability.
• Identify and resolve performance and scalability issues.
• Establish technology and product direction in collaboration with tech leads, managers, and senior leadership.
• Own end-to-end delivery of device provisioning, validation, testing, and remediation workflows at scale.
• Design and build workflow orchestration systems for hardware lifecycle management, including GPU nodes and network switches.
• Partner with Infrastructure, Platform, and SRE teams to translate operational needs into robust, scalable automation.
• Establish engineering standards for reliability, observability, and operational excellence across all services.
• Help set up engineering best practices in collaboration with the broader engineering team.
• Build production-grade Python systems for hardware lifecycle automation, leveraging AI tools to accelerate delivery.
• Assess impact to team software stack from new hardware product programs and explore AI-driven process improvement and automation.
• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build efficient, interoperable, and maintainable automated systems.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 5+ years of relevant experience building large-scale infrastructure applications or similar experience.
• Experience with languages such as C, C++, Java, and scripting languages like Python for API design and unit testing.
• Deep understanding of Linux operating systems, networking fundamentals (TCP/IP, BGP), and familiarity with configuration management tools (e.g., Ansible, Terraform).
• Experience building, running, and debugging large-scale infrastructure, stateful and stateless services for distributed systems or networks.
• Experience with compute technologies, storage, or hardware architecture.
• Experience integrating with infrastructure tooling such as DCIMs, NetBox, OpenStack, bare metal APIs (MAAS, Ironic, IPMI).

Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience designing, analyzing, and improving efficiency, scalability, and performance of system resources.
• Direct experience with AI/HPC infrastructure, including NVIDIA GPUs, InfiniBand or high-speed Ethernet fabrics, and related management software (e.g., NCCL, SLURM).
• Experience with advanced observability and monitoring systems (Prometheus, Grafana, OpenTelemetry) for complex, high-cardinality telemetry data.
• Familiarity with cloud-native technologies (Kubernetes, Docker) and infrastructure-as-code principles.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Familiarity with SLOs/metrics measurement, logs/telemetry/metrics integration with tools for enhanced operator experience.

Benefits

• Highly competitive package (base + equity) with reviews every 12 months.
• Opportunity to join the fastest-growing tech startup, collaborate with brilliant minds, and make an impact on cutting-edge AI.
• Dynamic progression plan tailored to your ambitions, with support for growth through new challenges and leadership opportunities.