Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead developer advocacy for AI and agentic security: advise security companies, accelerate NVIDIA stack adoption, guide partner integrations, map ecosystems, collaborate cross-functionally, run community events, and feed product teams with field insights.

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.

Design and implement lane-level localization, perception-map association, and lane selection systems using navigation maps. Develop efficient, safe C++ algorithms and productize software to automotive quality and safety standards for deployment in consumer autonomous vehicles. Work with large-scale real and synthetic datasets and collaborate across teams.

Develop and maintain CAE solver benchmarks on NVIDIA platforms, create technical marketing content (benchmarks, guides, briefs), present findings, and produce training/documentation to enable developers to adopt GPU-accelerated CAE workflows.

Design, develop, and optimize high-performance C++ systems for ultra-low-latency media streaming. Build and improve streaming pipelines (WebRTC, GStreamer, RTP/RTCP), analyze performance across server, network, and media pipelines, and collaborate with encoding, cloud networking, and systems teams to define KPIs and reduce latency for cloud gaming and related use cases.

Design and implement Rust-to-GPU compiler backends, IR frameworks, and JIT/AOT toolchains. Lower Rust AST/MIR to MLIR/LLVM/PTX, build GPU-specific optimizers, enforce safe parallel abstractions across host/device boundaries, and expose ergonomic device-side primitives. Drive projects from research to production and support profiling, debugging, and benchmarking workflows.

The role involves driving the adoption of NVIDIA Omniverse, collaborating with partners on technical solutions, and providing support to overcome integration challenges while engaging at all levels.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Lead strategic GTM and co-selling initiatives with Google Cloud to drive NVIDIA AI adoption. Develop and maintain technical enablement assets, run developer activations and events, collaborate with Google Cloud field and engineering teams, convert samples into demos and labs, and translate customer feedback into product and roadmap insights.

Design and validate Ethernet networking fabrics for AI/HPC clusters; mentor customers; build demos/POCs; create reference architectures and training; collaborate with engineering, product, and sales to secure design wins and drive product feature development.