Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design scalable multimodal data pipelines, develop algorithms and systems for training and inference efficiency, optimize large-scale distributed training, contribute to open-source GenAI infrastructure, and collaborate with research, product, and infra teams across the model lifecycle.

Lead architecture and performance work on Dynamo, integrating open-source frameworks (vLLM, SGLang, TRTLLM). Optimize inference latency, throughput, and efficiency across runtimes, kernels, networking, and orchestration. Develop scheduling, disaggregation, KV caching, and autoscaling optimizations and collaborate with research, software, systems, and hardware teams and external partners.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Design, build, and deploy AI/ML tools and LLM/agent-based systems for GeForce NOW SRE. Transform production signals, metrics, and logs into actionable intelligence, automate root-cause analysis, manage large-scale data pipelines, and operate ML tooling on Kubernetes and AWS with monitoring and visualization (Grafana).

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Lead product definition, execution, and go-to-market for AI physics models, libraries, and frameworks. Collaborate with engineering, developer relations, marketing, and sales; present to internal and external audiences; prioritize projects; translate technical capabilities into developer and customer value.

Lead technical partnership with Alphabet teams to drive adoption and integration of NVIDIA libraries, models, and frameworks. Coordinate cross-functional engineering and GTM teams, resolve integration challenges, influence product roadmaps, and deliver joint solutions that accelerate partner workloads and developer adoption.

Design, build, and deploy end-to-end AI-powered media and broadcasting solutions using NVIDIA's AI/media stack. Act as a hands-on technical advisor in pre/post-sales, create POCs and reference architectures, optimize performance and TCO, and collaborate with customers and internal teams to scale solutions and provide technical collateral.

As a Senior AI Solutions Architect, you'll drive the use of NVIDIA AI solutions, support developers, and analyze application architectures to enhance performance.

Lead design and implementation of agentic AI systems to automate data-science pipelines—data elicitation, curation, experimentation, model training/evaluation, diagnostics, and benchmarks. Collaborate with software and solutions teams and integrate solutions into enterprise projects and products.