Senior / Staff Software Engineer — Infrastructure (GPU, Kubernetes, Rust) — United States — Remote

Boundless is building a decentralized proving network focused on large-scale ZK proof generation. This Infrastructure Engineer role sits within blockchain infrastructure roles where reliability, throughput, and distributed coordination are critical. The position focuses on designing and operating GPU-heavy infrastructure across on-premises environments and major cloud providers (AWS, GCP, Azure).

You will architect Kubernetes-based container systems, optimize CUDA-powered GPU clusters, manage release pipelines, and maintain high-throughput systems supporting multi-chain proving workloads. The role combines bare-metal Linux systems administration with cloud-native DevOps practices, including infrastructure-as-code and distributed performance monitoring.

This position operates at the core of distributed proving systems, where scaling a web3 team depends on stable, high-performance infrastructure.

🔹 Responsibilities

• Design and deploy large-scale proving clusters with thousands of GPUs across on-premises data centers and cloud platforms (AWS, GCP, Azure)
• Build and maintain infrastructure that coordinates proving workloads across multiple blockchains
• Optimize Kubernetes and Docker container topologies to reduce latency and improve proof-generation throughput
• Perform bare-metal GPU optimization, including CUDA management and kernel tuning
• Architect highly available, auto-scaling, multi-region cloud infrastructure
• Manage release pipelines, AMI and Docker image packaging, and zero-downtime deployments
• Implement monitoring and alerting systems for GPU utilization, proof metrics, and system health
• Develop cost-optimization strategies including spot instance management and resource scheduling

These expectations reflect what recruiters look for in crypto jobs when evaluating senior infrastructure candidates.

🔹 Requirements

• 5+ years of infrastructure or DevOps experience, including 2+ years managing large-scale GPU clusters
• Experience operating both on-premises compute environments and cloud platforms (AWS, GCP, Azure)
• Proficiency with infrastructure-as-code tools such as Terraform, Ansible, or Pulumi
• Deep expertise in Kubernetes, Docker, and large-scale container orchestration
• Experience with GPU computing infrastructure and CUDA
• Experience releasing complex distributed software, including AMI builds, Docker images, binaries, and distribution channels
• Proven experience managing mission-critical, high-throughput systems
• Strong Linux systems administration and bare-metal optimization skills
• Proficiency in Rust and low-level systems programming

🔹 Nice to Have

• Familiarity with ZK proof generation or blockchain infrastructure
• Experience operating cryptocurrency mining or ML training infrastructure
• Knowledge of network optimization and topology design
• Experience managing globally distributed, multi-region systems

🔹 Compensation & Benefits

• Competitive salary plus equity/token allocation
• Health, dental, and vision coverage (for U.S. employees; region-adjusted globally)
• Flexible PTO and home-office/equipment stipend
• Professional development budget and conference travel support
• Remote-first work model with regular off-sites

🔖 Curated by ArtofBlockchain.club
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