
11 - 50 employees
🤖 Artificial Intelligence
🔧 Hardware
⚡ Energy
Artificial Intelligence • Hardware • Energy
Unconventional AI is rethinking the foundations of a computer to optimize energy efficiency for AI. Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, the company aims to bring biology-scale efficiency to artificial intelligence by redesigning computing architecture and hardware to reduce power consumption for AI workloads.
🔥 1 hour ago
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11 - 50 employees
🤖 Artificial Intelligence
🔧 Hardware
⚡ Energy
Artificial Intelligence • Hardware • Energy
Unconventional AI is rethinking the foundations of a computer to optimize energy efficiency for AI. Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, the company aims to bring biology-scale efficiency to artificial intelligence by redesigning computing architecture and hardware to reduce power consumption for AI workloads.
• Lead physical implementation of complex, high-performance blocks and top-level SoC integration from RTL to GDSII • Perform floorplanning, power grid design, placement, clock tree synthesis (CTS), routing, and physical verification • Drive aggressive Power, Performance, and Area (PPA) targets • Collaborate with architects to influence micro-architecture for physical routability and timing closure • Own final sign-off, including Static Timing Analysis (STA), IR drop analysis, Electromigration (EM), and Physical Verification (DRC/LVS/ERC) • Develop and automate physical design flows and establish best practices for synthesis, formal verification (LEC), and parasitic extraction • Collaborate across digital and analog design teams to integrate custom analog mixed-signal blocks • Evaluate potential AI-tool partners that could improve chip design efficiency
• B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field • 10+ years of industry experience in digital physical design • Track record of successful tapeouts on modern process nodes; 7nm, 5nm, or newer preferred • Expertise in Static Timing Analysis (STA) and timing closure for high-frequency, complex designs • Deep understanding of physical design challenges in advanced nodes, including multi-patterning, finFET effects, and low-voltage operation • Proficiency in power integrity analysis and noise coupling mitigation • Expert-level mastery of standard EDA tool suites, such as Synopsys Fusion Compiler, IC Compiler II, or Cadence Innovus • Strong scripting skills in Tcl, Python, or Perl • Excellent written and verbal communication skills • Experience managing deliverables from external vendors or design houses • Preferred: experience with physical design for machine-learning accelerators or large-scale systolic arrays • Preferred: experience integrating large custom analog macros and complex power-sequencing requirements • Preferred: hands-on experience with multi-voltage domains, UPF/CPF flows, and advanced power-gating techniques • Preferred: familiarity with state-of-the-art AI tools to accelerate chip design
• Best-in-class health benefits • 401k matching • Truly unlimited PTO • Complimentary meals in the Mountain View office • Massive ownership and an outsized opportunity to drive change • Comprehensive package
Apply Now🔥 4 hours ago
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