hpc jobs in San Diego

Senior AI Engineer role focused on designing and leading scalable, high-performance data architecture solutions that support AI/GenAI use cases. The role involves building and optimizing data pipelines, defining database schemas (Graph, SQL, NoSQL), and leading infrastructure for AI model deployment across cloud and on-premises environments.…See more Requires 4+ years in data engineering/MLOps with hands-on AWS/Azure/GCP experience, 2+ years managing technical teams, and expertise in DevOps, CI/CD, containerization (Kubernetes, Docker), and ML deployment frameworks. The position includes mentoring junior engineers and driving technology modernization initiatives.

Senior Network Specialist supporting high-performance computing environments, responsible for designing, integrating, and maintaining complex IT systems and network solutions. Role involves systems engineering, software development, integration, testing, and IT infrastructure design to support mission-critical environments.…See more Requires 4+ years of technical experience with systems engineering, software development, and enterprise computing, plus an active Top Secret clearance.

Senior Network Engineer to design, build, and operate critical network infrastructure for cloud, AI/GPU, and high-performance computing environments. Responsibilities include managing multi-homed internet edge networks with BGP/eBGP, designing high-availability architectures with redundant firewalls and load balancing, deploying InfiniBand/GPU networks, automating configuration with Python/Ansible, and leading incident response.…See more Requires 7+ years of network engineering experience, strong BGP and TCP/IP expertise, hands-on work with Cisco/Arista/Fortinet platforms, and network automation skills.

Build and maintain computational pipelines for sequence analysis and genotyping in HPC and cloud environments, using tools like PLINK, GATK, and BEAGLE. Perform quality control on data inputs and outputs, document work meticulously, and develop new pipelines under supervision by selecting and testing computational approaches.…See more Requires expertise in Bash scripting, bioinformatics software, Linux, cloud platforms (AWS EC2, All of Us Research workbench), and programming languages (R, Python), plus strong written and verbal communication skills.

This role combines computational research, HPC system optimization, and AI/ML deployment support at UC San Diego's Supercomputer Center. The incumbent will develop and deploy AI inference services on cutting-edge HPC platforms (PNRP, Expanse, Voyager), support researchers integrating these services into workflows, collaborate on hardware integration (FPGAs, accelerators), maintain benchmark suites on Kubernetes clusters, and contribute to proposals characterizing system performance.…See more The position requires advanced skills in HPC performance analysis, machine-learning deployment on innovative hardware, complex computing environment troubleshooting, and hands-on Kubernetes experience.

Lead complex debugging and root-cause analysis of system-level issues in high-performance Linux environments, spanning hardware, firmware, OS, and networking layers. Design and optimize high-throughput, low-latency data transport protocols, leveraging deep expertise in Linux kernel development, InfiniBand/Ethernet networking (RDMA, RoCE), and bare-metal/virtualized systems.…See more Partner with cross-functional teams to prototype, benchmark, and productionize platform enhancements while mentoring engineers through design and code reviews. Conduct research initiatives and proof-of-concepts to validate new technologies and influence platform roadmaps.

Linux Systems Engineer II role supporting biotech/scientific computing environments. Responsible for designing, implementing, and maintaining Linux systems (Red Hat, Rocky, CentOS, Ubuntu), storage infrastructure (NFS, ZFS), HPC clusters (Slurm), virtualization, and containerized environments.…See more Requires 3–5+ years of hands-on Linux administration, scripting (BASH, Python), disaster recovery, and backup solutions; will also mentor junior IT staff and participate in cross-functional projects.

Linux Infrastructure Engineer responsible for designing, building, and maintaining ultra-high-performance data center infrastructure supporting scientific computing and operational technology systems. Core duties include architecting and tuning software-defined storage (ZFS, BeeGFS, NVMe), managing 100GbE networking with RDMA, automating bare-metal provisioning via Ansible and Bash, and ensuring OT security through segmented, firewalled network architecture.…See more Requires 15+ years of systems administration experience, expert-level Linux (RHEL) and storage knowledge, and hands-on data center operations including physical deployment, diagnostics, and hardware lifecycle management.

Support and maintain an Engineering Workspace environment spanning Windows VDI, Citrix, Linux HPC platforms, and simulation applications for a technical user community. Design and maintain automated functional application testing frameworks and CI/CD pipelines, with 5+ years of enterprise Windows/virtual desktop support required.…See more Deploy engineering and simulation applications, drive automation initiatives, and participate in Agile/DevOps practices to improve system reliability and end-user productivity. Collaborate with IT teams, vendors, and infrastructure partners to diagnose and resolve complex technical issues.

Staff Software Engineer role leading the design, development, and evolution of networking software for Teradata's massively parallel processing (MPP) platform. Responsibilities include architecting scalable and fault-tolerant networking software for high-speed, low-latency interconnects, evaluating emerging technologies (DPUs, accelerators, interconnect fabrics), leading complex debugging and root-cause analysis across hardware/firmware/OS/networking layers, and mentoring engineers.…See more Required expertise: HPC and distributed systems development, Linux kernel and driver development in C, InfiniBand and Ethernet networking with RDMA/RoCE, TCP/IP and UDP networking, packet-level analysis tools, high-throughput low-latency protocol design, and proficiency in C, Bash, and Python.

AMD seeks a Principal Compiler Architect to lead the design and optimization of LLVM-based compilers for AMD GPUs, focusing on performance improvements for ML frameworks and HPC applications. The role involves working with architecture specialists on hardware bring-ups, debugging compiler issues, and developing groundbreaking compilation technologies for current and future GPU hardware.…See more The candidate will apply data-driven optimization strategies, stay current with hardware and software trends, and collaborate across teams to enhance compiler support for ML and HPC workloads. Required expertise includes strong C/C++ programming, understanding of GPU execution models, and ideally a track record of open-source LLVM contributions.

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams.…See more The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

Join Singular Genomics' core software team as a generalist Software Engineer contributing to the sequencing analysis pipeline, operational tooling, and field support. You'll work across Python development, CI/CD infrastructure (Jenkins, Bitbucket), HPC job execution, and diagnostic troubleshooting of production failures on genomic sequencers.…See more Responsibilities include pipeline bug fixes and features, build system maintenance, field triage, data handling logic, and developing lightweight web services and internal APIs. You need 2–5 years of professional experience, solid Python fundamentals, Linux/HPC familiarity, and the ability to debug and move fast across a large, real production codebase.