Top Tech Jobs & Startup Jobs in Austin, TX

Lead large-scale, cross-functional data center delivery programs by applying technical knowledge in mechanical, electrical, networking, and building automation systems. Drive pilots and transformation initiatives, implement templates and automation, design reporting for actionable insights, manage scope/schedule/budget/quality, and influence executive stakeholders to deliver on-time, on-budget data center projects.

Lead development and deployment of ML and AI solutions for global incentive and quota design. Partner cross-functionally to define quota strategy, build scalable data pipelines and models, create AI agents, evaluate model performance, ensure governance/compliance, and communicate insights to stakeholders to drive business outcomes.

Lead architecture and development of large-scale VM management and monitoring platforms for Azure. Provide technical leadership, design documentation, debugging, performance tuning, operational excellence, mentoring, on-call monitoring, and adoption of AI-assisted workflows to improve reliability, availability, security, and observability across Windows and Linux environments.

Design, develop, and optimize high-performance, low-latency networking infrastructure for large-scale AI training on Azure. Benchmark, debug, and improve scalability, reliability, observability; author design documents; act as DRI and participate in on-call operations.

Design, build, deploy, and operate AI-native systems and LLM-powered applications for Azure capacity orchestration. Lead architecture and design for distributed systems, write and review production-quality code, drive automation and safe deployments, integrate monitoring and on-call reliability practices, and ensure AI safety and security. Collaborate across teams and mentor engineers while shipping scalable, secure solutions.

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.