Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead global go-to-market and co-sell strategies with AI-native ISVs and foundational model providers. Drive joint-selling, co-marketing, pipeline management, sales enablement, and cross-functional coordination with NVIDIA product and account teams to create repeatable partnership GTM motions and measurable revenue outcomes.

Support global immigration processes outside the U.S., guide employees and managers on policies, coordinate with vendors and outside counsel, assess sponsorship eligibility, mitigate risk, resolve complex immigration issues, monitor shared mailbox, and drive process improvements to enhance employee experience.

Lead developer relations for CAE by building technical expertise, integrating NVIDIA software stacks into partner projects, supporting onboarding with code samples and demos, monitoring ecosystem trends, and collaborating with partners and internal teams to drive adoption of NVIDIA AI and accelerated computing technologies.

Lead research and engineering to improve LLM inference algorithms and systems: analyze and optimize agentic LLM workloads for latency and throughput, design scalable datacenter systems, and collaborate across software, hardware, and external partners to integrate performance improvements.

Design, develop, test, and optimize system software for next-generation ARM SoCs in pre- and post-silicon phases. Analyze system-wide performance bottlenecks, recommend HW/SW policies, perform competitive workload comparisons, and drive full-stack adoption of performance optimizations across NVIDIA software and OSS SDKs.

Define high-level SoC subsystem and I/O architecture for LPU products, translate product requirements into architecture and IP specifications, build and validate functional/architectural models (C++, SystemC, Python), and drive tradeoffs across performance, power, reliability, and security while coordinating with IP, firmware, software, RTL, verification, and post-silicon teams.

Drive deployment of NVIDIA GPU and networking solutions at customer data centers: advise on network/compute/storage design, perform bring-up visits, debug performance, build POCs/demos, and liaise with product, engineering, and sales teams.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.

Lead developer advocacy for payments, driving adoption of NVIDIA AI and computing platforms. Support partner integrations, provide code samples and demos, research ecosystem trends, collaborate with engineering and partners, present at conferences, and promote co-innovation for payments use cases like fraud detection and personalization.

Serve as technical lead between NVIDIA and hyperscale CSPs on GPU firmware and system software. Drive firmware update orchestration, recovery procedures, multi-GPU coordination, telemetry/health monitoring, and incorporate CSP feedback into NVIDIAs roadmap to improve fleet-scale manageability and reliability.