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parallel-programming jobs in San Diego

$158,500 – $277,400 · Posted 1 day ago

ServiceNow is hiring a Staff Software Engineer to design and optimize data persistence infrastructure for the ServiceNow platform. You will write highly scalable code managing data lifecycles, data loss detection and recovery, and distributed storage systems, while collaborating with cross-functional teams on data architecture and telemetry.… The role requires 8+ years of software development experience (or equivalent with advanced degrees), deep expertise in Java, concurrency, relational databases, Kubernetes, and distributed systems like S3 and Apache Iceberg.

San DiegoLast seen today
$140,800 – $211,200 · Posted 1 month ago

Qualcomm seeks a Staff Engineer to lead development of LLVM-Ripple, a compiler toolchain for massively parallel applications on Snapdragon platforms. You will design and optimize compiler components (front-end, middle-end, back-end), parallel runtimes, and developer-facing features for heterogeneous compute architectures.… Key responsibilities include architecting runtime improvements, evolving programming abstractions, collaborating with hardware teams to expose new parallel features, and driving performance optimization across the full ecosystem. The role requires deep expertise in compiler internals, parallel programming models (CUDA, OpenCL, OpenMP, SIMD/SIMT), C/C++, and performance analysis on modern SoCs.

San DiegoLast seen 22 days ago
$158,400 – $237,600 · Posted 1 month ago

Build and optimize scalable LLM inference platforms at Qualcomm's Cloud AI team, implementing advanced serving techniques like KV-cache management, speculative algorithms, and model optimization. Contribute to production serving frameworks (vLLM, SGLang, Triton, TGI) and work with customers on deployment solutions.… Collaborate with compiler, firmware, and platform teams to drive efficient serving through autoscaling, load balancing, and routing. Requires deep understanding of transformer architectures, strong PyTorch and Python skills, computer architecture knowledge, and hands-on experience profiling and optimizing deep learning workloads.

San DiegoLast seen 1 day ago