Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead consultative, value-driven enterprise sales to plan, orchestrate, and deliver AI Workforce solutions (Copilot, Windows 365, Viva, Agents). Build stakeholder strategies, drive pipeline, cross-sell/up-sell, and partner with internal teams to scale AI adoption and measurable business outcomes.

Design, build, and maintain Azure-based full-stack skilling platforms and CI/CD pipelines. Implement scalable microservices, REST APIs, automation, and AI/LLM features, improve site reliability, automate testing, and collaborate across teams to ensure secure, high-quality production deployments.

Design and lead development of Azure platform capabilities and services. Partner with stakeholders to define requirements, produce design documents, mentor engineers, ensure reliability/observability at scale, serve as DRI and on-call, and drive consistency across distributed systems and lifecycle management.

Design, build, benchmark, and operate large-scale reinforcement learning and pretraining systems on NVIDIA and AMD GPU clusters. Optimize distributed, parallel software for training models, gather compute-roadmap data, and collaborate to deliver production-grade conversational and generative AI features.

Lead data science engagements with customers to acquire, clean, analyze, and model data; develop scalable operational models and evaluation methods; coach engineers on best practices; drive solution strategy, ethics, and industry thought leadership; write extensible code and collaborate across teams to deliver cloud-based AI solutions.

Lead customer-facing data science engagements: manage data acquisition/cleaning, develop and evaluate scalable models, drive modeling best practices, contribute thought leadership, write extensible code, and define solution and business strategy with cross-functional teams.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Lead customer-facing data science engagements: acquire and prepare data, evaluate and operationalize models at scale, drive modeling best practices, research industry trends, write extensible code, and define solution and customer strategy while promoting ethics and privacy.

Senior Software Engineer on the Azure Core New Tech team to design and implement software that automates verification, onboarding, tracking, and lifecycle management of hardware for Microsoft datacenters. Collaborate with stakeholders, create designs and playbooks, write and refactor code, operate on-call monitoring and incident response, and drive improvements in reliability, observability, performance, and security for scalable distributed systems.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.