轉職熱搜工作
您正在找韌體工程師的工作,共計6951筆職缺在等你,馬上去應徵吧!
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MCU/DSP設計工程師
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 2~3年工作經驗1. Processor micro-architecture design 2. Cache and bus interface 3. DSP and machine learning library design 4. Simulator/modeling and architecture展開 -
嵌入式系統產品安全軟體工程師
面議(經常性薪資達4萬元或以上) 40000元 新竹縣竹北市 2~3年工作經驗1.開發嵌入式硬體驅動程式及驗證硬體設計 2.維護及開發硬體信任根功能, 包含簽名校驗, 密鑰管理, 版本回滾保護,度量啟動, 權限存取管控 3.整合新產品規格功能展開 -
<Data center>系統與SLT量產資深工程師
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 4~5年工作經驗•重點開發技術: 系統開發、高速資料實體層(physical layer) 資料傳輸軟體開發、優化硬體效能及產品量產品質控管 •主要目標: 完成Enterprise/AI/xPU等相關產業客製化IC的軟韌體開發與系統整合,並協助客戶產品量產,有SLT的經驗 •負責新產品的系統設計與開發,確保符合公司及客戶的需求 •協助量產過程中的技術問題解決,並提供專業建議以提升生產效率與品質 •與跨部門團隊合作,確保產品從設計到量產的順利過渡 •分析並改善現有系統和流程,以提高產品質量和生產效率 •參與產品測試和驗證,確保產品符合相關標準和規範展開 -
GPU Emulation and Design Verification Engineer
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 工作經歷不拘1.Propose design verification plan and do the execution based on IP and system HW architecture/application 2.Develop design verification environment 3.Develop required verification methodology and adopt into project 4.Develop HW emulator/FPGA platform to accelerate design verification task 5.Co-work with SW/HW engineering to valid function and shift-left SW develop 6.Debug and root cause failure with SW/HW engineering in both pre-silicon and post-silicon展開 -
6G/5G基頻系統架構師
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 2~3年工作經驗1. Optimize 6G/5G modem architecture and associated hardware/software flows in aspects of system performance/power/area (PPA) to improve product competitiveness. 2. Develop architectural simulation, system-level modeling, and analysis platforms for modem baseband system performance, low-power optimization, and hard real-time (HRT) latency analysis. 3. Collaborate closely with domain architects to deliver quantitative reports based on simulation data, driving key architectural decisions. 1. 優化 6G/5G 解調架構及相關的硬體/軟體流程,提升系統效能/功耗/面積(PPA),增強產品競爭力。 2. 開發架構模擬、系統級建模與分析平台,用於評估基帶系統效能、低功耗優化與硬實時(HRT)延遲分析。 3. 與領域架構師緊密合作,根據模擬數據產出量化報告,推動關鍵架構決策。展開 -
系統算法工程師_竹北
面議(經常性薪資達4萬元或以上) 40000元 新竹縣竹北市 工作經歷不拘1.Develop GNSS Signal Processing / Measurement Engine/ Positioning algorithm (GNSS Positioning, A-GNSS), INS related firmware/software. 2.Develop on Embedded System, 3GPP, AGNSS Certification/Application and develop GNSS system software. 3. Customer issue resolving展開 -
<Automotive>資深CPU軟靭體架構師
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 8~9年工作經驗1. 軟硬體協同設計:參與早期規格或硬體系統定義,從軟體觀點提供優化建議。 2. 關鍵技術解決:編寫核心原型代碼,解決效能瓶頸等複雜系統級別問題。 3. 技術指導:提升團隊架構思維與技術實力。展開 -
FPGA Lead Engineer
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 10~11年工作經驗• Lead FPGA development activities across functional prototyping, emulation, performance evaluation, and database generation flows. • Work closely with architecture, design, verification, software, firmware, and performance teams to understand system requirements and define FPGA implementation strategy. • Drive FPGA functional flow, including RTL integration, FPGA partitioning, synthesis, place-and-route, timing constraints, timing closure, bitstream generation, bring-up, and debug. • Drive FPGA performance flow to support in-house performance evaluation, workload execution, data collection, profiling, and performance database generation. • Design, implement, integrate, and optimize FPGA logic using Verilog/SystemVerilog/VHDL. • Develop and maintain FPGA prototypes and emulation platforms for system validation, software enablement, firmware development, and hardware/software debug. • Support performance analysis by enabling representative workloads, collecting runtime metrics, identifying bottlenecks, and collaborating with architecture/design teams on improvement opportunities. • Define and improve FPGA methodology, automation, build flows, regression infrastructure, and debug processes for both functional and performance use cases. • Support and integrate interfaces such as PCIe, DDR, AXI, Ethernet, SPI, I2C, UART, and other standard protocols. • Provide technical leadership, mentor engineers, coordinate cross-functional execution, and drive issue resolution across multi-site teams.展開 -
<GPU>GPU Design Verification Lead
面議(經常性薪資達4萬元或以上) 40000元 新竹市東區 10~11年工作經驗• Lead GPU verification efforts across unit, subsystem, and full-chip levels, partnering closely with GPU architects, RTL design leads, performance engineers, modeling teams, and software/firmware teams. • Develop a deep understanding of GPU specifications and microarchitecture, including the 3D graphics pipeline, compute workloads, shader cores, memory hierarchy, cache/coherency, command processing, scheduling, and control subsystems. • Define the overall verification strategy, methodology, test architecture, milestones, and quality metrics for assigned GPU IPs and/or top-level GPU integration. • Drive creation and execution of comprehensive verification plans, ensuring traceability from architectural and RTL specifications through test implementation, functional coverage, assertions, and closure. • Lead development and maintenance of scalable SystemVerilog/UVM verification environments, including reusable agents, BFMs, scoreboards, reference models, checkers, and HW/SW co-simulation infrastructure. • Guide the team in developing directed, constrained-random, stress, error-injection, and scenario-based tests for graphics, compute, memory, and control features. • Drive functional and code coverage closure through rigorous coverage analysis, identification of verification gaps, and creation of targeted tests for corner cases and late-stage bug escapes. • Own regression health for the verification scope: establish regression strategy, monitor quality metrics, prioritize failures, coordinate triage, and drive root-cause resolution with design and architecture teams. • Review verification plans, testbench architecture, test code, coverage models, and debug approaches; provide technical mentorship and guidance to DV engineers. • Partner with performance, architecture, and design teams to develop performance-verification workloads, execute emulation/prototyping runs, analyze bottlenecks, and support performance, power, and area (PPA) optimization. • Drive efficient debug of complex RTL, testbench, firmware, and HW/SW co-simulation failures, clearly communicating root cause, impact, and resolution plans to cross-functional stakeholders. • Collaborate effectively across geographically distributed teams and communicate verification status, risks, and closure plans to project leadership.展開
