Top Tech Jobs & Startup Jobs in Austin, TX

Build and operate AI-powered automation, CI/CD systems, distributed services, developer tools, validation platforms, and code-intelligence capabilities. Own significant systems from architecture through production, improve engineering workflows using measurable results, scale reliable automation and delivery platforms, and integrate capabilities through APIs and MCP. Establish operational practices, participate in on-call support, conduct technical reviews, mentor engineers, and lead cross-team delivery of dependable engineering platforms.

Leads global datacenter conceptual design and strategy for building, power, cooling, telecom, controls, and infrastructure systems. Coordinates internal and external stakeholders, oversees multiple concurrent design projects, evaluates operational and implementation impacts, resolves complex technical challenges, develops schedules and business cases, and advises leadership on scalable, innovative datacenter solutions. The role also supports technical documentation, intellectual property development, industry analysis, and cross-group collaboration.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, PCIe, GPUs, firmware, drivers, and software. Develop automation, telemetry, diagnostic tools, operational playbooks, and escalation procedures to improve observability and reduce mitigation time. Partner with engineering teams and manufacturers to resolve systemic issues affecting AI training stability, GPU availability, and customer SLAs.

Lead commercial strategy, deal-making, and complex negotiations for Microsoft’s strategic U.S. customers. Develop commercial and account plans, optimize pricing and concessions, manage renewals, and align customer, partner, and internal stakeholders. Build trusted relationships while ensuring compliant, profitable deal execution and supporting revenue, quota, and consumption targets. The role requires strong sales and negotiation expertise, strategic thinking, and knowledge of Microsoft licensing and contracting programs.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Originate and build expressive interactive graphics and motion experiences for Copilot using code, shaders, and real-time browser rendering. Develop production-ready components, optimize CPU/GPU performance, ensure accessibility and reduced-motion support, and collaborate with product engineering on integration and maintenance. Create reusable graphics systems and tools, document technical and artistic decisions, mentor teammates, and guide ambiguous projects from creative concept through delivery.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.