Senior HPC Applications Engineer

🔥 33 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $115k - $140k / year

⏰ Full Time

🟠 Senior

💻 Application Engineer

👻 Ghost score 0%

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Parallel Works

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏛️ Government

Artificial Intelligence • SaaS • Government

Parallel Works is a software company that builds ACTIVATE, a control plane for high performance computing (HPC) and AI infrastructure across on-premises systems, hyperscale clouds, and GPU cloud providers. ACTIVATE provisions and manages compute clusters on AWS, Azure, Google Cloud, and Oracle Cloud, integrates with NeoCloud GPU providers (e. g. , CoreWeave, Voltage Park, Lambda), and connects to existing on-premises schedulers; it provides a single login with shared allocations, cost controls and budgets, and workload portability between providers. Parallel Works runs in production for Department of Defense HPC programs, federal science agencies, and commercial research organizations, and operates a FedRAMP High platform authorized at IL5 for government cloud workloads. The company spun out of Argonne National Laboratory in 2015 and is headquartered in Chicago.

📋 Description

• Own the software stack and user experience on Parallel Works platforms • Serve as the escalation point for build failures, failed multi-node jobs, and underperforming jobs • Compile and package MPI implementations, compilers, and scientific libraries using Spack or EasyBuild with Lmod module trees • Install requested AI and ML frameworks and enable multi-node GPU launches • Diagnose NCCL and collective behavior, container and driver mismatches, storage throughput issues, and node faults • Run scaling studies and profile workloads with Nsight, VTune, TAU, HPCToolkit, or Score-P • Hand systems-level findings to the systems team when fixes belong in the fabric or filesystem • Port customer codes to new GPU architectures and venues using containers where appropriate • Triage tickets, diagnose failed jobs to root cause, and provide written explanations • Create user guides, hold office hours, and deliver training for user communities and Government events • Work directly with customers across on-premises clusters, cloud environments, and commercial GPU providers

🎯 Requirements

• 10 or more years supporting scientific or AI application users on Linux HPC systems • Building complex software from source on both RHEL family and Debian or Ubuntu systems • Experience with compilers, MPI, CMake, autotools, and dependency management • Running Spack or EasyBuild and Lmod in production • Experience with multi-node GPU workloads from the platform side • Ability to distinguish framework problems from environment problems • Experience with site-provided software stacks on on-premises systems and cloud images • Working knowledge of at least one application domain: weather and climate, computational fluid dynamics, molecular and materials science, or structural analysis • United States citizenship and eligibility for a Secret clearance • Prior user-facing role at a Government supercomputing center, national laboratory, or university HPC center preferred • Profiling and debugging tools experience preferred, including GPU profilers, CPU profilers, gdb, and MPI tooling • Hands-on distributed training or inference experience with PyTorch DDP or FSDP, DeepSpeed, Megatron-style frameworks, JAX, vLLM, or TensorRT-LLM preferred • Jupyter, remote visualization, or virtual desktop support experience preferred

🏖️ Benefits

• Medical, vision, and dental coverage • 401(k) with company match • Short term disability • Generous paid vacation and sick time • Equal opportunity employer

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