Top Engineering Jobs

Design, implement, test and document a large-scale collectives communication simulator for new AI hardware. Collaborate with cross-functional teams, troubleshoot complex issues, ensure hardware integration, mentor junior engineers, and participate in agile development to deliver high-performance communication primitives.

Build and maintain tools and services to support software teams; deploy and manage Kubernetes infrastructure for development, testing, and scaling; manage cloud infrastructure using IaC; improve CI/CD, build, test, deployment and observability for ML/HPC software stacks.

Develop manufacturing test solutions and diagnostics for AI compute hardware across silicon, boards, servers, and racks. Build test software and automation, design test approaches, lead complex hardware debug, and collaborate with firmware, software, and manufacturing teams to improve testability and product quality.

Develop and maintain tools and services for build, test, deployment, and release of ML software. Deploy and operate services with Kubernetes and Docker, manage cloud infrastructure using Terraform, support CI/CD production deployments, mentor junior engineers, and ensure high reliability with minimal toil for distributed/HPC systems.

Design, deploy, and maintain tools and services for build, CI/CD, packaging, and releases. Manage cloud and Kubernetes infrastructure, use IaC, reduce toil, and support junior engineers for reliable ML software delivery.

Lead and build an SLT test engineering team to develop system-level test capabilities for multi-die AI processors. Define manufacturing test solutions, design test fixtures, write production and characterization test programs on SLT platforms, collaborate across silicon, test, DFT and manufacturing teams, transfer solutions to volume manufacturers/OSATs, and support bring-up, failure analysis and yield improvement.

Develop and maintain internal build, test, and integration tooling for the ML software stack. Build release processes, assist dependency management, guide developers on build best practices, collaborate with QA and engineers to resolve integration issues, and contribute fixes to the ML software stack.

The role involves designing, implementing, testing, and documenting OS Kernel and Device Driver software, collaborating within an agile scrum team, and ensuring tight integration with hardware engineering to optimize performance.

The role involves validating AI chips through designing tests, collaborating with teams, debugging silicon, and developing automation frameworks.

The role involves validating high-performance AI chips, developing tests in C/C++ and Python, leading team members, and optimizing validation processes.