Rethink recruit
About Architect
Architect is building the
intelligence layer for chip companies -compressing the time to tapeout from
3 years to 6 months . Our AI amplifies hardware engineers across
DI, DV, and PD workflows , helps build IP from the ground up, and keeps engineers in the loop at every step. Founded out of Stanford, we're one of the fastest-moving Bay Area startups, blending
frontier ML with deep chip design expertise
to transform a trillion-dollar industry. Backed by top VCs and legendary angels, we're assembling a world-class team of founding engineers and researchers to architect the next era of silicon.
The Role We are seeking a
Head of AI
to lead our ML organization and set the technical direction of AI at Architect. This is a foundational leadership role with broad ownership-defining research strategy, guiding technical execution, and scaling a team working at the frontier of AI for chip design.
You'll architect novel multi-agent systems, design training recipes, and partner with hardware experts to solve bottlenecks in chip pipelines-building the AI foundation for a trillion-dollar industry.
What You'll Do Define the
technical roadmap
for AI at Architect. Lead, mentor, and grow a
world-class team of ML engineers and researchers . Contribute hands-on to ML systems, modeling infrastructure, and research direction. Architect and deploy
agent-based systems
for RTL code generation, physical design automation, and chip reasoning tasks. Collaborate with hardware engineers to identify bottlenecks and translate them into ML solutions. Stay ahead of state-of-the-art advances in
ML4EDA, reinforcement learning, multi-agent systems, and self-supervised learning. What We'd Like to See
PhD in Computer Science, EECS, Mathematics, or related field (preferably in ML/AI). 5+ years industry experience (8+ strongly preferred) leading ML teams and shipping production systems. Deep expertise in
reinforcement learning, self-supervised training, fine-tuning (SFT), and multi-agent systems. Experience with verifiers, reward functions, and building agentic environments. Strong understanding of modern model architectures, scaling laws, and data strategy. Publications at top ML venues (NeurIPS, ICLR, ICML) or EDA conferences (DAC, ICCAD, DVCon). Track record of end-to-end model training: training recipes, data pipelines, RL post-training. Systems knowledge: cloud-native architectures, distributed training, inference scaling. Bonus Points
Prior experience in
AI for chip design
(NVIDIA, DeepMind, Synopsys, Cadence, etc.). Background in chip design, verification, or EDA workflows. Why Join Architect
Play a
foundational role
in building one of the most ambitious AI startups in silicon. Tackle
cutting-edge AI problems
with real-world impact in a trillion-dollar industry. Competitive
salary and equity stake
with the autonomy to shape technical direction. Join a fast-paced startup environment with direct ownership and visible impact.
intelligence layer for chip companies -compressing the time to tapeout from
3 years to 6 months . Our AI amplifies hardware engineers across
DI, DV, and PD workflows , helps build IP from the ground up, and keeps engineers in the loop at every step. Founded out of Stanford, we're one of the fastest-moving Bay Area startups, blending
frontier ML with deep chip design expertise
to transform a trillion-dollar industry. Backed by top VCs and legendary angels, we're assembling a world-class team of founding engineers and researchers to architect the next era of silicon.
The Role We are seeking a
Head of AI
to lead our ML organization and set the technical direction of AI at Architect. This is a foundational leadership role with broad ownership-defining research strategy, guiding technical execution, and scaling a team working at the frontier of AI for chip design.
You'll architect novel multi-agent systems, design training recipes, and partner with hardware experts to solve bottlenecks in chip pipelines-building the AI foundation for a trillion-dollar industry.
What You'll Do Define the
technical roadmap
for AI at Architect. Lead, mentor, and grow a
world-class team of ML engineers and researchers . Contribute hands-on to ML systems, modeling infrastructure, and research direction. Architect and deploy
agent-based systems
for RTL code generation, physical design automation, and chip reasoning tasks. Collaborate with hardware engineers to identify bottlenecks and translate them into ML solutions. Stay ahead of state-of-the-art advances in
ML4EDA, reinforcement learning, multi-agent systems, and self-supervised learning. What We'd Like to See
PhD in Computer Science, EECS, Mathematics, or related field (preferably in ML/AI). 5+ years industry experience (8+ strongly preferred) leading ML teams and shipping production systems. Deep expertise in
reinforcement learning, self-supervised training, fine-tuning (SFT), and multi-agent systems. Experience with verifiers, reward functions, and building agentic environments. Strong understanding of modern model architectures, scaling laws, and data strategy. Publications at top ML venues (NeurIPS, ICLR, ICML) or EDA conferences (DAC, ICCAD, DVCon). Track record of end-to-end model training: training recipes, data pipelines, RL post-training. Systems knowledge: cloud-native architectures, distributed training, inference scaling. Bonus Points
Prior experience in
AI for chip design
(NVIDIA, DeepMind, Synopsys, Cadence, etc.). Background in chip design, verification, or EDA workflows. Why Join Architect
Play a
foundational role
in building one of the most ambitious AI startups in silicon. Tackle
cutting-edge AI problems
with real-world impact in a trillion-dollar industry. Competitive
salary and equity stake
with the autonomy to shape technical direction. Join a fast-paced startup environment with direct ownership and visible impact.