TensorWave

Build high-performance customer and internal dashboards for real-time GPU telemetry using TypeScript, React, and modern frontend tooling. You’ll own frontend architecture and quality while partnering with backend engineers and designers and mentoring junior teammates.

Build production-grade software integrations, services, and tooling that connect large-scale infrastructure platforms supporting high-performance AI workloads. The role combines software development with DevOps automation, orchestration, observability, and distributed-systems reliability.

Build the automation and platform tooling that provisions, configures, validates, and operates large-scale GPU clusters across bare metal, Kubernetes, and Slurm environments. This hands-on backend role focuses on reliable cluster lifecycle management, observability, and day-2 operations at scale.

Build and operate the AWS infrastructure powering TensorWave’s scalable AMD GPU AI/HPC cloud platform. This hands-on DevOps role focuses on Infrastructure-as-Code, reliability, observability, security, cost optimization, and cloud automation.

Own the architecture, reliability, performance, and automation of critical production databases supporting TensorWave’s AI compute platform. This staff-level role combines deep PostgreSQL/MySQL expertise with incident leadership, observability, infrastructure collaboration, and technical mentoring.

Own the architecture and reliability of TensorWave’s multi-region Kubernetes platform supporting high-performance AI workloads. This staff-level role combines deep Kubernetes systems design with hands-on production operations, scaling, networking, and incident leadership.

Build and operate the infrastructure powering large-scale ML training and inference across shared GPU environments. This role combines workload orchestration, cluster operations, performance optimization, and developer tooling at massive scale.