Senior Engineering Manager, Compute
Crusoe Energy Systems
Requirements Leadership Experience: 5+ years of experience in engineering management, specifically leading teams that build distributed systems, cloud infrastructure, or high-performance computing platforms
- Technical Depth: A strong background in systems programming (Go, C/C++, or Rust) and a deep understanding of Linux internals and virtualization technologies
- Execution at Scale: Proven ability to lead teams through ambiguity and deliver mission-critical software in a fast-paced, high-growth environment
- Strategic Mindset: You can bridge the gap between low-level technical trade-offs and high-level business goals, clearly communicating complex concepts to stakeholders
- Passion for Sustainability: A genuine interest in Crusoe’s mission to reduce the environmental impact of the AI revolution
- (Desirable) Experience at a major Cloud Service Provider (CSP) or in a high-scale AI infrastructure company
- (Desirable) Familiarity with GPU-based workloads, InfiniBand, or RoCE networking
- (Desirable) Contributions to open-source projects in the Linux kernel or virtualization space
- As a Senior Engineering Manager on the Compute Team, you will lead the engineers responsible for our vertically integrated AI cloud
- This team sits at the intersection of high-performance hardware and cloud-native software, ensuring that our GPU clusters—powered by stranded and renewable energy—deliver world-class performance and reliability for the world’s most demanding AI and HPC workloads
- You will manage a high-caliber team of systems and software engineers focused on virtualization, bare-metal provisioning, kernel-level optimization, VM as a Service, and Cloud Hypervisor Development, Open Source contributions
- As we look to rapidly scale, your team’s code directly impacts the performance-per-dollar for the world’s leading AI Enterprises
- You are building a leaner, faster, and more specialized cloud from the ground up. Your leadership will directly influence how Fortune 500 companies and leading AI researchers access sustainable, hyperscale compute power
- Team Leadership & Growth: Hire, mentor, and scale a world-class team of engineers. You will define performance expectations, foster a culture of technical excellence, and build career growth paths for your direct reports
- Compute Infrastructure Strategy: Lead the development and optimization of Crusoe’s compute stack, from bare-metal orchestration to hypervisor tuning (KVM/QEMU) and kernel subsystems (NUMA, memory management, scheduling)
- High-Performance AI Optimization: Collaborate with hardware and networking teams to optimize performance for massive GPU/TPU clusters, SmartNICs, and high-speed interconnects
- Operational Excellence: Oversee the reliability and scalability of our compute services. You will guide the team through complex distributed systems challenges and ensure high availability across our global data center footprint
- Cross-Functional Roadmap: Partner with Product, Infrastructure, and Site Reliability Engineering (SRE) to define and execute a roadmap that balances rapid innovation with the stability of a "gold standard" cloud provider
Vacancy posted 1 day ago
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