hpc jobs in San Diego

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.