Senior HPC AI Engineer




Multiple Locations


Position summary


What you will be doing:

  • Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting

  • Manage Linux job/workload schedules and orchestration tools

  • Develop and maintain continuous integration and delivery pipelines

  • Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources

  • Deploy monitoring solutions for the servers, network and storage

  • Perform troubleshooting bottom up from bare metal, operating system, software stack and application level

  • Being a technical resource, develop, re-define and document standard methodologies to share with internal teams

  • Support Research & Development activities and engage in POCs/POVs for future improvements

What we need to see:

  • A degree in Computer Science, Engineering, or a related field

  • 5+ years of experience

  • Knowledge of HPC and AI solution technologies from CPU's and GPU's to high speed interconnects and supporting software

  • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s

  • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.

  • Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.

  • Python programming and bash scripting experience.

  • Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef

  • Deep knowledge of Networking Protocols like InfiniBand, Ethernet

  • Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)

Ways to stand out from the crowd:

  • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

  • Knowledge of CPU and/or GPU architecture

  • Knowledge of Kubernetes, container related microservice technologies

  • Experience with GPU-focused hardware/software (DGX, Cuda)

  • Background with RDMA (InfiniBand or RoCE) fabrics

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.