HPC Systems Engineer, Consumer Products

About the Team

The Consumer Products Infrastructure team builds and operates the high-performance computing platforms that support product design simulation and validation across OpenAIs consumer-facing hardware and software efforts. We partner closely with product engineers designers and applied scientists to ensure fast iteration cycles predictable performance and highly available systems that directly impact shipped products.

About the Role

We are seeking an experienced HPC Systems Engineer to design scale and operate large-scale HPC environments that power simulation-driven product development. These clusters support 1000 compute nodes per environment and are used heavily for engineering simulations such as FEA CFD multiphysics and optimization that inform real-world product decisions.

In this role you will work directly with consumer product and simulation engineers to optimize scheduling reduce iteration latency ensure license availability and maintain highly reliable on-prem and hybrid-cloud HPC systems that accelerate product timelines.

In this role you will:

• Architect deploy and operate large-scale HPC clusters (1000 nodes) supporting simulation workloads critical to consumer product development (Abaqus Ansys COMSOL LS-DYNA and similar tools).

• Optimize workload management using NC IBM/Platform LSF and Slurm with a focus on throughput fairness and minimizing queue wait times for product teams.

• Design and implement strategies for workload balancing cluster federation and multi-scheduler environments that support diverse product workflows.

• Partner closely with product design mechanical electrical and simulation engineers to debug jobs improve parallel scaling and accelerate design-to-validation cycles.

• Administer and harden Linux-based HPC systems (RHEL Rocky Linux AlmaLinux) including patching kernel tuning and performance optimization.

• Operate and optimize software licensing infrastructure (FlexLM DSLS LUM RLM) to maximize utilization and prevent license-related development bottlenecks.

• Deploy and manage Azure CycleCloud and/or TotalCAE to enable elastic capacity cloud bursting and hybrid HPC workflows during peak product development cycles.

• Configure and tune high-speed interconnects including InfiniBand (HDR/EDR/FDR) to support low-latency tightly coupled simulation workloads.

• Design and maintain high-performance storage systems (NFS DFS Lustre GPFS / Spectrum Scale BeeGFS Azure NetApp) optimized for simulation I/O patterns.

• Build automation and internal tooling using Python and Bash to streamline provisioning monitoring diagnostics and job submission workflows.

• Implement monitoring alerting and capacity planning systems (Grafana/Prometheus Slurm accounting LSF monitoring) to ensure predictable performance for product teams.

• Ensure high availability and resiliency across globally distributed HPC clusters and hybrid cloud environments.

• Manage authentication networking and secure access (LDAP/AD integration networking VPNs).

• Produce clear documentation on cluster architecture policies and best practices tailored to consumer product engineering workflows.

Minimum Qualifications:

• 7 years of experience designing and operating large-scale HPC clusters (1000 nodes).

• Deep expertise with NC IBM/Platform LSF and Slurm workload managers.

• Strong Linux system administration experience (RHEL-family preferred).

• Hands-on experience with MPI parallel scaling and performance tuning for simulation workloads.

• Experience using Azure CycleCloud to provision and manage HPC clusters in hybrid cloud environments.

• Proven experience operating InfiniBand or other high-speed interconnects.

• Strong Python and Bash skills for automation tooling and workflow optimization.

• Experience with distributed filesystems (NFS DFS Lustre GPFS BeeGFS).

• Deep familiarity with HPC licensing systems (FlexLM DSLS RLM LUM).

• Experience supporting product-oriented engineering or simulation teams.

• Strong networking fundamentals (DNS DHCP VLANs routing security).

Preferred Qualifications:

• Experience supporting simulation-driven consumer product development (hardware devices or integrated systems).

• Familiarity with containerized HPC workflows (Apptainer/Singularity).

• Exposure to infrastructure-as-code tools such as Terraform or Ansible.

• Experience with HPC profiling and performance analysis tools (VTune mpiP TAU Nsight).

• Background in consumer electronics product design automotive aerospace or similar environments.

• Strong cross-functional communication skills and a collaborative working style.

• High-ownership mindset with comfort operating in fast-moving product-critical environments.

• Strong debugging instincts and attention to operational detail.

• Clear documentation habits and a user-centric approach to infrastructure design.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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