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Top Tech Jobs & Startup Jobs in Austin, TX
Hardware • Internet of Things • Software • Wearables • Semiconductor
Lead system architecture for next-generation ultra-low-power AI SoCs from concept through production. Define processor, memory, interconnect, clocking, power, accelerator, and hardware/software partitioning strategies while managing power, performance, and area tradeoffs. Develop architecture specifications and models, evaluate IP, guide silicon implementation and validation, collaborate with customers and cross-functional engineering teams, and mentor architecture staff.
Top Skills:
Ai SocsAi/Ml AcceleratorsBluetoothClockingCpu/Mcu SubsystemsDspsFabric/InterconnectFpga PrototypingGpsGpusHardware AcceleratorsMemory ArchitectureNfcNpusPower ManagementSemiconductor Process NodesWi-Fi
Hardware • Internet of Things • Software • Wearables • Semiconductor
Responsible for post-silicon validation and characterization of analog and mixed-signal SoC subsystems. Develop validation plans, automate testing and data analysis, characterize silicon across process, voltage, and temperature, analyze performance, correlate results with simulation and production data, and debug analog, digital, firmware, power, and board-level interactions. The role also supports validation hardware, lab infrastructure, test coverage, yield improvement, and production readiness.
Top Skills:
AdcsAnalog And Mixed-Signal SocsArmAteCC++ComparatorsDacsEmbedded FirmwareGitLinuxOscillatorsOscilloscopesPllsPower Management CircuitsPower SuppliesPrecision DmmsPythonRegulatorsSensorsSignal GeneratorsSource Measurement UnitsSpectrum AnalyzersTclVoltage References
Hardware • Internet of Things • Software • Wearables • Semiconductor
Designs and develops PCB-based evaluation hardware for low-power, ARM-based SoCs. Responsibilities include hardware architecture, schematic and layout design, system bring-up, lab debugging, manufacturing test development, customer hardware reviews, issue resolution, embedded software support, and creation of application notes and hardware design guidelines.
Top Skills:
AdcAltium DesignerAmbiq SdkArmCadenceEclipseI2CI2SIarKeilLogic AnalyzersMipiOscilloscopesPcb DesignPdmSpiUartUsb
Hardware • Internet of Things • Software • Wearables • Semiconductor
Own end-to-end digital design verification for complex SoCs at block, subsystem, and full-chip levels. Develop UVM/SystemVerilog testbenches, verification plans, constrained-random and directed tests, scoreboards, coverage models, and C/C++ SoC validation libraries. Automate regressions and reporting, debug failures, perform root-cause analysis, and collaborate with architecture, design, and software teams. The role requires managing verification milestones, risks, and deliverables through multiple successful tape-outs.
Top Skills:
AhbAmbaApbArmAxiCC++Code CoverageConstrained-Random VerificationDmaFunctional CoverageMakefilePerlPythonRisc-VScoreboardingSocSystemverilogUvmUvm-Based TestbenchesVerilog
Hardware • Internet of Things • Software • Wearables • Semiconductor
The Senior Staff SoC Power and Performance Architect role focuses on advancing ultra-low-power semiconductor solutions for AI edge, wearable, medical device, and IoT applications. The position is based onsite five days per week in Austin and appears intended to lead SoC power and performance architecture in collaboration with cross-functional engineering and product teams. Detailed responsibilities and qualifications were not provided in the posting.
Top Skills:
Ai EdgeNear-Threshold ComputingSemiconductorSoc
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Hardware • Internet of Things • Software • Wearables • Semiconductor
Lead and scale Ambiq's silicon validation organization, define post-silicon validation strategy and automation, drive bring-up, characterization, debug, and production correlation, build global teams and lab infrastructure, manage priorities across concurrent programs, and provide technical leadership for complex silicon issues and customer escalations.
Top Skills:
ArmBluetooth LeCC++Dynamic Voltage/Frequency ScalingEmbedded SoftwareLab InstrumentationMatterPythonTclThreadWi-Fi
Hardware • Internet of Things • Software • Wearables • Semiconductor
Lead software architecture for low-power Edge AI MCUs: define requirements, perform functional allocation, prototype, guide implementation and testing, optimize performance/power, enforce standards, and mentor engineers.
Top Skills:
Arm Cortex-MArm KeilAssemblyAsymmetric Multicore SystemsAudio/Video ProcessingBare MetalCC++Clock GatingData Movement EnginesDisplay ProcessingDual-Port MemoryEclipse IdeFpga-Based EmulationGraphics ProcessingIarL1 CacheL2 CacheLow-Power ModesMemory Management Unit (Mmu)Memory ProtectionOpenampRemote Processor MessagingRpmsgRtosShared MemorySoftware Requirements Specification (Srs)Trusted FirmwareTrustzone For M-ClassVoltage And Frequency Scaling
Hardware • Internet of Things • Software • Wearables • Semiconductor
The Head of Investor Relations leads the global IR program for a semiconductor company, managing investor communications, strategic positioning, earnings processes, and relationships with the investment community to enhance credibility and investor understanding.
Top Skills:
CRMDisclosure ManagementEarnings ManagementFinancial ReportingInvestor RelationsSemiconductorStrategic Communications
Hardware • Internet of Things • Software • Wearables • Semiconductor
Lead DFT strategy for ultra-low-power SoCs: design and implement scan, boundary scan, MBIST, ATPG and low-power DFT architectures; generate and analyze structural test vectors; run pre/post-layout simulations; collaborate with design, verification, and test teams to optimize coverage, test time, cost, and bring-up test vectors on silicon.
Top Skills:
AteAtpgBoundary ScanCadence GenusCadence ModusGlsMbistPerlPythonRtlScan CompressionStaTclTessent Mbist
Hardware • Internet of Things • Software • Wearables • Semiconductor
Lead enterprise AI enablement by identifying high-value AI opportunities, redesigning workflows, building business cases, running pilots, driving adoption, establishing governance and metrics, and building organizational AI literacy to improve engineering productivity and business outcomes.
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