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Top Tech Jobs & Startup Jobs in Austin, TX
Artificial Intelligence • Software
Design and validate thermofluids systems for large-scale AI data center cooling. Responsibilities include developing cycle models, selecting working fluids, designing heat exchangers and piping, sizing valves and relief systems, analyzing coupled thermal and fluid trades, and validating predictions against test-stand data. The role requires rigorous model calibration, honest reporting of discrepancies, and technical analysis that drives machine design decisions.
Top Skills:
CoolpropData Center CoolingDirect-To-Chip CoolingHeat ExchangersPiping SystemsPressure-Relief SystemsRefpropRegenerative CoolingThermodynamic Cycle ModelingTranscritical CyclesTwo-Phase Heat TransferValvesVapor-Compression Cycles
Artificial Intelligence • Software
Own control architecture for rotating machinery and test rigs, including compressors, motor drives, expansion turbines, and thermofluid loops. Develop safety interlocks, fault handling, speed-based capacity control, and hardware-in-the-loop validation. Tune controls on live machines, investigate model-to-plant discrepancies, integrate production chillers with site BMS and plant systems, and document systems for operations teams.
Top Skills:
Allen-BradleyBeckhoffBuilding Management SystemsCodesysControl SystemsDspaceHardware-In-The-Loop TestingMagnetic Bearing ControllersNi VeristandSiemensSimulinkVariable-Frequency Drives
Artificial Intelligence • Software
Own compressor testing from test-cell commissioning through validated performance mapping. Responsibilities include specifying test cells and instrumentation, defining measurement chains and uncertainty budgets, writing test plans and safety interlocks, analyzing data, supporting design changes, and conducting failure investigations. The role focuses on high-pressure, high-speed rotating machinery, thermofluids, refrigeration performance, and data acquisition.
Top Skills:
Calibration SystemsData Acquisition SystemsInstrumentationLabviewNational Instruments (Ni)Plc-Based Test Stands
Artificial Intelligence • Software
Owns end-to-end aerodynamic and mechanical design of high-speed turbomachinery, including centrifugal compressors, expansion turbines, rotordynamics, magnetic bearing integration, stress analysis, and machine architecture. The engineer will take designs from mean-line analysis and CFD through geometry release, build, test-stand validation, performance-map analysis, and iterative redesign. Work spans advanced cooling systems, novel working fluids, high-speed motor-driven machines, and rapid development from concept to production.
Top Skills:
Centrifugal CompressorsCfdCoolpropCryogenic TurbomachineryExpansion TurbinesGas TurbinesMagnetic BearingsR744RefpropRotordynamicsSco2 CyclesTurbomachineryTurbopumpsVapor-Compression Systems
Artificial Intelligence • Software
Own the electrical design and integration of high-power machines, including DC buses, inverters, motor drives, magnetic-bearing amplifiers, test-cell power systems, and load banks. Lead EMC, harmonics, bearing-current, insulation, arc-flash, and electrical-safety work through installation and commissioning. Develop safe work practices for energized equipment and bring first-of-a-kind systems to full-rating operation.
Top Skills:
800 V Dc ArchitecturesArc Flash ProtectionDc Bus SystemsElectric MotorsElectrical Safety SystemsEmcGanHarmonicsHigh-Power ConvertersInvertersLoad BanksMagnetic BearingsMotor DrivesPower ElectronicsRegenerative DrivesSicTest Benches
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Artificial Intelligence • Software
Build software systems for large-scale AI compute operations, including fleet health monitoring, automated repair and RMA workflows, hardware qualification, facility asset management, and structured operational procedures. Develop production features using Go, Python, or TypeScript; integrate LLMs and agentic tools; support on-call operations; and work closely with production engineers and facility operators to improve reliability and deployment speed.
Top Skills:
Agentic FrameworksAnthropic ApiAsset Management SystemsBmcBmsClaude CodeCmmsCursorDcimEpmsGoGrafanaIpmiKubernetesMcp ServersOpen-Weight ModelsOpenai ApiPrometheusPythonRedfishScadaTypescript
Artificial Intelligence • Software
Lead product direction for ontology and data products that model and support compute production. Translate messy operational domains into data models, specs, and product surfaces; drive technical tradeoffs and ship end-to-end; run stakeholder discovery and validate impact; define and track success metrics to optimize product outcomes.
Artificial Intelligence • Software
Build and maintain foundational infrastructure platforms (CMDB, DCIM, asset lifecycle, monitoring, observability, automation). Deliver self-service tooling, workflow orchestration, integrations, and scalable, reliable systems while partnering with operations, security, and product teams. Drive technical direction, CI/CD, IaC, and production readiness for fleet-scale data center infrastructure.
Top Skills:
AirflowAnsibleBmsCamundaCi/CdCmdbDcimDevice42DnsDockerEpmsGoGrafanaHTTPLinuxNetboxOpentelemetryPostgresPrometheusPythonRedisRestful ApisTcp/IpTemporalTerraformTime-Series Databases
Artificial Intelligence • Software
Architect the solid-state transformer platform for gigawatt-scale AI data centers. Select converter topologies and semiconductor strategies, lead power electronics, magnetics, and controls engineers through hardware development, define MVDC system interfaces, create prototype roadmaps, evaluate build-versus-partner options, and develop vendor, laboratory, and university partnerships. Own technical trade-offs involving efficiency, redundancy, manufacturability, device availability, and MW-scale system integration.
Top Skills:
Converter ControlsIsop DabMagneticsMedium-Frequency TransformersMedium-Voltage ConvertersMmcMvdcPower ElectronicsSemiconductor StrategySilicon Carbide (Sic)Solid-State Transformers
Artificial Intelligence • Software
Own hardware new product introduction programs from kickoff through rate production for racks, gear, or power conversion products. Manage schedules, stage gates, risks, dependencies, design changes, long-lead components, readiness reviews, and cross-functional decisions across engineering, manufacturing, quality, supply chain, and delivery. The role requires technical judgment, disciplined escalation, and the ability to make difficult scope, schedule, and recovery decisions under significant schedule pressure.
Top Skills:
Gpu HardwarePower Conversion SystemsSwitchgear
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