Top Engineering Jobs in Austin, TX

Lead DevOps and platform engineering for VCU/CCU infotainment systems. Define CI/CD architecture, optimize Yocto embedded builds, implement distributed build systems, automate releases, build self-service developer platforms, improve observability and developer workflows, apply AI/ML for predictive build/test optimization, and mentor engineers while driving cross-functional delivery from design to production.

Build and deploy full-stack internal enterprise applications and tooling for Cloudflare’s People & Places organization. Responsibilities include developing production features, writing and reviewing code, integrating APIs and data persistence, working in sprint-based teams, using AI-assisted coding tools, managing tickets and blockers, and demonstrating products to leadership. Interns will contribute to AI-agent foundations and ship production-deployed software.

Owns implementation, integration, reporting, maintenance, and support for Oracle Fusion Financials, Procurement, EPM, and related enterprise systems. Partners with Finance and Accounting teams on requirements, solution design, reconciliations, period close, SOX audits, patching, testing, and production troubleshooting. Develops Oracle-to-Snowflake data pipelines, integrations, reports, and AI agents through Oracle Fusion AI Agent Studio to automate finance workflows and improve operational efficiency.

Lead hardware bring-up, validation, diagnostics, and troubleshooting for Arm-based AI compute platforms across laboratory and data center environments. Investigate server, motherboard, power, thermal, network, BIOS, and BMC failures; perform root-cause analysis; support deployment and qualification; develop troubleshooting documentation; and mentor junior personnel. The role collaborates with engineering, platform, facilities, and data center teams and participates in on-call support during critical milestones.

Develop and extend low-level diagnostics and stress-testing software for next-generation AI SoCs. Build configurable validation tools covering CPUs, AI accelerators, memory, PCIe, storage, firmware, BMC, and other platform components. Investigate hardware failures, silent data corruption, timing issues, and system instability across multiple silicon revisions and environments. Collaborate with hardware, firmware, software, and validation teams to improve observability, fault isolation, silicon bring-up, and platform reliability.

Develop and extend system-level diagnostics, stress-testing tools, and validation utilities for next-generation AI SoCs. Diagnose hardware, firmware, operating system, and driver interactions across CPUs, memory, PCIe, storage, networking, and accelerators. Build configurable automation for silicon validation, expose intermittent failures and silent data corruption, improve observability and fault isolation, and collaborate with hardware, firmware, and validation teams across platforms and silicon revisions.

Lead troubleshooting, hardware bring-up, validation, qualification, and root-cause analysis for Arm-based AI compute platforms, including server blades, motherboards, power systems, and rack-scale infrastructure. Diagnose thermal, power, networking, BIOS, and BMC issues; develop validation documentation and troubleshooting procedures; collaborate with engineering and data center teams; and mentor junior staff while supporting critical deployments and on-call activities.

Provides technical leadership for designing, integrating, validating, and deploying robotic automation systems for data center operations. Leads robotics architecture, partner coordination, verification and validation, troubleshooting across software and hardware, and transition of R&D prototypes into production systems. Works with robotic manipulation, material transport, inspection, autonomous mobile robots, fleet coordination, and scalable deployment infrastructure while mentoring engineers and influencing technical direction.

Develop system-level diagnostic and stress-testing software for next-generation AI SoCs. Build configurable tools that validate CPUs, memory, interconnects, PCIe, firmware, storage, and other platform components; expose intermittent failures and silent data corruption; automate validation across server and rack-scale environments; and improve hardware observability and fault isolation. Collaborate with hardware, firmware, software, and validation teams during silicon bring-up and platform reliability efforts.

Build and secure employee IT systems, focusing on Okta IAM, MDM, identity lifecycle workflows, access policies, device compliance, automation, and integrations. Develop scripts and APIs across Okta, MDM, Google Workspace, Slack, AWS, and IT service systems. Partner with Security on least privilege and endpoint protection, troubleshoot complex issues, document configurations, reduce technical debt, and expand infrastructure-as-code practices using Terraform and AI-assisted workflows.

Define and deploy board- and system-level manufacturing test strategies for high-volume server production. Develop ICT/MDA/board functional tests, fixtures, and test infrastructure; drive yield improvement, failure analysis, and corrective actions; partner with ODMs and cross-functional teams to ensure scalable, reliable production testing and factory readiness.

Lead end-to-end signal integrity analysis and optimization for blade- and rack-level high-speed compute platforms. Perform SI/PI simulations and hands-on lab validation (VNA, TDR, BERT, oscilloscopes), correlate measurements with simulations, debug margin gaps, and collaborate with silicon, package, board, connector, cable, ODMs and vendors to improve I/O channel performance and produce technical validation reports.

Senior Software Engineer responsible for designing scalable, reliable, observable, and well-tested backend or distributed systems. The role requires expertise in C, C++, or Rust; data modeling, APIs, service-oriented architectures, SQL, networking, and infrastructure. The engineer will work in AI-assisted development workflows, validate AI-generated code, contribute to architecture and technical direction, document designs, mentor peers, and collaborate across Product, UX, and Engineering.

Senior Software Engineer responsible for architecting, developing, and scaling consumer- and agent-facing web and mobile experiences. The role involves making technical decisions, building backend APIs and full-stack applications, collaborating across product teams, applying distributed-systems and cloud architecture, improving code quality with AI tools, and mentoring junior engineers.

Develop and deploy robotics software solutions for manufacturing, including machine learning, deep learning, computer vision, simulation, and real-time applications. The role involves designing prototypes, building and testing robotic cells, streamlining robotics engineering processes, integrating systems at scale, and collaborating with manufacturing engineering teams. Travel to GM facilities in the U.S. and Mexico is required up to 25% of the time.

Design and build frontend experiences and components for the Cloudflare dashboard. Collaborate with design and systems engineers, own code from inception to release, and improve developer experience. Debug, optimize, and identify failure modes in large-scale frontend and distributed systems.

Architects and implements scalable managed database control-plane and infrastructure systems. Owns performance, resiliency, failover, backups, recovery, observability, and production operations for PostgreSQL and MySQL services. Translates ambiguous requirements into technical architecture, leads cross-team projects, mentors engineers, reviews designs and code, and improves systems supporting high-concurrency, data-intensive, and AI-adjacent workloads.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Workday Extend and integration technologies. Designs scalable frameworks, APIs, workflows, security models, and engineering standards; mentors engineers; guides Agile delivery; and partners with business, product, security, and engineering teams. Drives automation, AI-enabled modernization, observability, process optimization, platform reliability, and continuous improvement while supporting production issues and technical governance.

Build and scale backend-heavy full-stack features for a high-traffic news platform. Responsibilities include developing Node.js and TypeScript services, GraphQL and REST APIs, React and Next.js interfaces, caching strategies, data integrations, automated testing, CI/CD, cloud deployment, monitoring, incident response, and production reliability. The engineer will also support AI-powered hyperlocal content systems and collaborate with product, editorial, and engineering stakeholders.

Lead development of system-level test capabilities for multi-die AI processors, managing engineers and defining production, engineering, and characterization test solutions. Collaborate with silicon, test, DFT, manufacturing, and external vendors on fixtures, ATE, board-level testing, thermal control, test correlation, NPI transfer, silicon bring-up, defect identification, and yield improvement. Mentor junior engineers and support volume manufacturing.

Develop and deploy system-level test solutions for AI processors, including test content, automation, diagnostics, characterization, and manufacturing screening. Perform silicon bring-up, voltage/frequency margining, reliability testing, failure analysis, and cross-environment correlation. Develop scripts and tools for test execution, telemetry, analysis, and reporting. Support test hardware, production transfer, manufacturing ramp, and cross-functional collaboration with design, validation, manufacturing, and OSAT teams. Mentor junior engineers and improve test coverage and manufacturability.

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.

Design, build, and operate reliable backend services and REST APIs for Cloudflare for SaaS. Scale control-plane systems to support tens of millions of customer domains, improve certificate and domain lifecycle workflows, maintain consistency across distributed services, and strengthen observability and operational reliability. Collaborate with product and engineering teams, document technical decisions, review code, and participate in debugging and incident response.

Own Linux kernel memory-management performance at Cloudflare scale. Diagnose and resolve allocator, virtual memory, reclaim, mapping, locking, and concurrency bottlenecks using production telemetry and low-overhead instrumentation. Develop upstream-quality fixes, contribute to mainline Linux, perform maintainership and review work, collaborate across kernel, networking, storage, and product teams, and set technical direction for memory-management optimization across the fleet.

Design, develop, architect, and maintain backend applications and services for Zynga’s shared Payments platform. Improve reliability, scalability, performance, and cost efficiency across AWS-based systems. Write and review code, evaluate technical plans, provide production and integration support, and collaborate with engineering teams to deliver high-quality shared technology for Zynga’s games.