Hardware Engineer

Optimize compute, memory, storage, networking, and GPU performance for AI workloads.

Benchmark and analyze system performance under production-scale AI deployments.

Identify hardware bottlenecks and implement improvements to maximize throughput, latency, and infrastructure efficiency.

Validate hardware compatibility across multiple AI frameworks and deployment environments.

Build reliable and fault-tolerant hardware infrastructure capable of supporting mission-critical AI workloads.

Develop hardware validation, diagnostics, stress testing, and failure analysis processes.

Support hardware lifecycle management including provisioning, upgrades, maintenance, and replacement strategies.

Collaborate with vendors and partners to evaluate emerging hardware technologies.

Support hardware deployment across enterprise customer environments and internal infrastructure.

Develop automation and operational procedures for hardware provisioning, monitoring, and troubleshooting.

Ensure infrastructure meets enterprise standards for availability, security, and operational excellence.

Work closely with customer-facing teams to resolve deployment and infrastructure challenges.

Establish best practices for hardware validation, documentation, testing, and operational readiness.

Conduct technical reviews and contribute to infrastructure architecture decisions.

Collaborate across hardware, software, platform, and AI engineering teams to continuously improve system performance and reliability.

AI Infrastructure: Experience deploying and optimizing infrastructure for large language models, deep learning, or distributed AI workloads.

Hardware Validation: Experience in hardware qualification, manufacturing validation, stress testing, and performance benchmarking.

Enterprise Infrastructure: Experience supporting enterprise data centers, on-premises deployments, or hybrid cloud infrastructure.

Platform Engineering: Exposure to infrastructure automation, provisioning systems, Infrastructure-as-Code, or hardware management platforms.

Founder-level ownership and bias for action.

Strong strategic thinking and ability to connect technical decisions to business impact.

Excellent communication and mentoring skills.

Thrives in ambiguity, fast-paced environments, and early-stage startup culture.

Work directly with high-pedigree founders shaping technical and product strategy.

Build infrastructure powering the future of AI compute globally.

Significant ownership and impact with equity reflective of your contributions.

Competitive compensation, flexible work options, and wellness benefits