Build the Future of AI Hardware

Join a world-class team pushing the boundaries of chip architecture and ML infrastructure

Why NeuralChip?

We're a team of chip architects, ML researchers, and systems engineers united by a shared mission: accelerating the AI revolution through groundbreaking hardware innovation.

Benefits & Perks
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Health & Wellness

Comprehensive medical, dental, and vision coverage for you and your family

savings
Equity & Bonuses

Competitive equity grants and performance-based bonuses

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Flexible PTO

Unlimited paid time off and company holidays

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Learning Budget

$3,000 annual budget for conferences, courses, and professional development

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Remote Flexibility

Hybrid and remote options depending on role

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Meals & Snacks

Catered lunches, snacks, and beverages at all offices

Open Positions
Senior ASIC Design Engineer
Hardware
San Francisco, CA
Full-time
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Design and verify next-generation tensor processing units using advanced RTL methodologies.

Key requirements:
10+ years ASIC design
Verilog/SystemVerilog
Low-power design
ML Compiler Engineer
Software
Remote
Full-time
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Build optimizing compilers for deep learning models targeting custom AI accelerator architectures.

Key requirements:
LLVM/MLIR experience
Graph optimization
C++17
AI Research Scientist
Research
San Francisco, CA
Full-time
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Research novel neural network architectures and training techniques optimized for NeuralChip hardware.

Key requirements:
PhD in ML/AI
PyTorch/JAX
Published research
Physical Design Engineer
Hardware
Austin, TX
Full-time
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Lead physical implementation from floorplanning through signoff for high-performance AI chips.

Key requirements:
P&R tools expertise
Timing closure
5nm experience
Developer Relations Engineer
DevRel
Remote
Full-time
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Build relationships with ML community, create technical content, and support external developers.

Key requirements:
ML framework knowledge
Technical writing
Public speaking
Product Marketing Manager
Marketing
San Francisco, CA
Full-time
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Define go-to-market strategy and positioning for AI accelerator products in cloud and edge markets.

Key requirements:
5+ years PMM
Technical background
B2B experience