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Hardware Engineer – Architect
Normal ComputingHardware architect defining custom mixed-signal AI accelerator silicon for Normal Computing. Translating LLM and diffusion workloads into efficient compute tiles, memory hierarchies, and interconnects.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining silicon and system microarchitecture for AI accelerators, with a strong focus on energy efficiency and performance modeling. Proficient in translating complex algorithmic workloads into hardware specifications and collaborating across multidisciplinary teams.
Highest-signal resume keywords
Microarchitecture DesignPerformance ModelingAI Accelerator ArchitecturePython or C++ ProficiencyCycle-Accurate Simulation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Microarchitecture Specification WritingDatapath Width AnalysisPipeline Stage EstimationQuantization TechniquesReduced-Precision InferenceAlgorithm-Level Workload AnalysisPre-RTL Design DecisionsMixed-Signal Compute DesignEnergy-Efficiency OptimizationBlock-Level Pre-Silicon Validation
Soft Skills
CollaborationProblem-SolvingAdaptability
Tools & Technologies
SystemVerilogRTL DesignFPGA PrototypingCompiler CollaborationAnalog Design
Industry Keywords
AI AcceleratorsCompute EnginesDigital Systems ArchitectureVon Neumann Memory WallPerformance Trade-Offs
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Define the silicon and system microarchitecture for Normal Computing’s custom unconventional compute platform
- Drive architectural trade-offs targeting major energy-efficiency gains for LLM and diffusion-model inference
- Lead hardware/software co-design to address the von Neumann memory wall
- Translate transformer architectures and diffusion execution flows into mixed-signal compute tiles, memory hierarchies, and tile interconnects
- Build performance models and establish microarchitectural specifications
- Collaborate with compiler, RTL, analog, FPGA, and systems architecture teams
- Define AI accelerator compute blocks, including PE arrays, datapaths, sparsity support, and reduced-precision computation
- Translate workload analysis and research findings into implementable hardware specifications
- Evaluate full-stack performance, power, and area trade-offs
- Co-design the ISA and programming model with the compiler lead
- Direct block-level pre-silicon validation and select appropriate prototyping platforms
- Stay current with AI accelerator research and potentially publish research
Requirements
What you’ll need- A degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent work experience
- Substantial experience architecting or microarchitecting high-performance digital systems such as AI accelerators or compute engines
- Ability to translate algorithm-level workload analysis into datapath widths, pipeline stages, and area/power estimates
- Experience using cycle-accurate or analytical simulation models for pre-RTL design decisions
- Familiarity with quantization and reduced-precision inference approaches and their hardware implications
- Experience writing microarchitecture specifications and collaborating with RTL engineers through implementation
- Proficiency in Python or C++ for performance modeling and analysis
- Familiarity with SystemVerilog or equivalent RTL
- Ability to operate in an environment where the architecture is actively being discovered
- PhD welcome but not required
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Normal Computing Website LinkedIn All Job Openings 51 - 200 employees Founded 2022 Normal Computing is a company referenced by the provided website source, but the supplied content is primarily CSS and site layout code and does not include product, service, or company-specific descriptive text. From the available data I cannot determine what Normal Computing sells or what markets it serves beyond that it has a web presence. Hardware Engineer – Architect Job not on LinkedIn 🔥 10 minutes ago 🏢🏡 Silicon Valley – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🔧 Hardware Engineer Python Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Define the silicon and system microarchitecture for Normal Computing’s custom unconventional compute platform
- Drive architectural trade-offs targeting major energy-efficiency gains for LLM and diffusion-model inference
- Lead hardware/software co-design to address the von Neumann memory wall
- Translate transformer architectures and diffusion execution flows into mixed-signal compute tiles, memory hierarchies, and tile interconnects
- Build performance models and establish microarchitectural specifications
- Collaborate with compiler, RTL, analog, FPGA, and systems architecture teams
- Define AI accelerator compute blocks, including PE arrays, datapaths, sparsity support, and reduced-precision computation
- Translate workload analysis and research findings into implementable hardware specifications
- Evaluate full-stack performance, power, and area trade-offs
- Co-design the ISA and programming model with the compiler lead
- Direct block-level pre-silicon validation and select appropriate prototyping platforms
- Stay current with AI accelerator research and potentially publish research 🎯 Requirements
- A degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent work experience
- Substantial experience architecting or microarchitecting high-performance digital systems such as AI accelerators or compute engines
- Ability to translate algorithm-level workload analysis into datapath widths, pipeline stages, and area/power estimates
- Experience using cycle-accurate or analytical simulation models for pre-RTL design decisions
- Familiarity with quantization and reduced-precision inference approaches and their hardware implications
- Experience writing microarchitecture specifications and collaborating with RTL engineers through implementation
- Proficiency in Python or C++ for performance modeling and analysis
- Familiarity with SystemVerilog or equivalent RTL
- Ability to operate in an environment where the architecture is actively being discovered
- PhD welcome but not required Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score View More Hardware Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs