Software Engineer (Platform Infrastructure, Rust, C++)

• Design, build, and implement a large-scale distributed system that powers one of the world’s largest supercomputing clusters
• Dive into the low-level stack to profile, debug, and optimize performance across diverse systems, including GPUs, Linux kernel, networking, and filesystems, to achieve peak efficiency
• Collaborate on hardware, software, and algorithm co-design to push the boundaries of AI training
• Maintain and innovate on our codebase to ensure scalability and reliability
• Develop tools to enhance team productivity and streamline workflows

Benefits

• Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
• Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
• Flexible vacation: We work hard but avoid burn out. Take time off when you need it
• Visa sponsorship: We support international talent with visa sponsorship to join our team
• 401(k) plan: Retirement savings plan to secure your financial future

• All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence
• Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates
• Hands-on expertise with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operations
• Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications
• Systems programming experience in C, C++, or Rust
• Collaborate in a fast-paced, open environment to design and foundational systems
• Strong debugging skills across the full stack — from kernel and OS up through container orchestration layers
• Deep knowledge of operating systems internals (process scheduling, memory management, file systems, and synchronization primitives)
• Proficiency in performance analysis, profiling, and low-level optimization techniques
• Solid understanding of computer networks and the TCP/IP stack
• Experience working with Linux kernel concepts or systems-level debugging tools (e.g., perf, gdb, strace, Wireshark)
• Proficiency deploying and managing workloads using Kubernetes manifests, Helm, Operators, and GitOps workflows
• Solid understanding of containerization technologies (Docker, containerd, crio) and their interaction with the Linux kernel
• Experience with observability and monitoring in distributed systems (Prometheus, Grafana, VictoriaMetrics, OpenTelemetry, or similar)