Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, build, and operationalize large-scale AI and HPC hybrid compute solutions for partners. Guide adoption of NVIDIA compute, networking, and software stacks, deliver demos and POCs, troubleshoot cluster, network, and storage issues, and collaborate with engineering and executives to deploy AI factories at scale.

Design and build agentic workflows that automate code generation, testing, and tuning across NVIDIA frameworks and compilers. Partner with internal engineering teams to identify high-impact automation, iterate on proofs of concept, integrate agents into git-native CI pipelines, and enable closed-loop validation on real GPUs. Contribute to multi-agent orchestration, performance optimization, and reusable internal tooling to scale agentic engineering practices.

Design and build real-time, physics-informed AI models and synthetic data pipelines for quantum calibration and decoding. Develop surrogate models and GPU-accelerated implementations, apply reinforcement and online learning for calibration policies, co-design low-latency calibration-decoding systems, and collaborate across engineering and research to enable fault-tolerant quantum hardware.

The role involves defining verification strategies, building infrastructure for SoC verification, and collaborating with various teams to meet project requirements.

The role involves validating clocking structures in products, developing test plans, automation, and partnering with design teams to ensure high-quality verification of ASIC designs.

Design, implement, and extend compute debugger tools and libraries for NVIDIA GPUs across Windows, Linux, and embedded RTOS. Apply debugger, binary-instrumentation, and computer-architecture expertise to integrate new features, collaborate with cross-functional teams, document designs, estimate work, perform peer reviews, and mentor junior engineers.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.

As a Senior DFT Engineer, you'll develop DFT architecture for AI Chips, collaborating on DFT methodologies and ensuring product quality.

Design, deploy, and operate Kubernetes-based large-scale storage and data platforms. Build automation, tooling, telemetry, and observability. Troubleshoot distributed systems, support CI/CD and IaC, participate in on-call rotations, capacity planning, and launch readiness.

Design, build, and operate exascale distributed systems and orchestration for AI research. Implement storage and compute scheduling across multi-region clusters, improve reliability and observability, collaborate with security and platform teams, and translate researcher requirements into scalable, high-performance infrastructure.