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Smart City
Energy Efficiency
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Offices
Jobs
Financials
How Unconventional AI hires
Truth index
B 70/100
Ghost roles
50%
Stale roles
0%
Reposted roles
0%
Unconventional AI scores B on the Alion truth index (A is best, E worst), measured over 10 open roles re-checked against its own hiring board: 50% look like ghost listings, 0% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Announcing the 2026 Unconventional Grant Winners
Unconventional AI was founded on a suspicion: that the dominant recipe for building capable AI systems, more parameters and more attention over ever longer contexts, is one path among several, and that the alternatives stay underexplored not because they
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Report
Less is More: Scaling Dynamics with Sparsity
TL;DR - In the original Un-0 model architecture, the number of connections between oscillators - and trainable parameters - increases precipitously as the oscillator count grows since the oscillators are connected all-to-all. Such architectures are challe
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Report
Smoothing the Triangle: Rethinking the Memory Stack for Unconventional AI
By now, it's no secret that 2026's hottest hardware component isn't the processor; it's the memory, as the skyrocketing prices and memory-company valuations make clear. Even consumer tech giants aren't immune to the squeeze. Just look at Apple's recent ha
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Report
Speaking the Language of Physics: Introducing the First Instruction Set Architecture (ISA) for Dynamical System Hardware
Editor's Note: This post highlights foundational research on analog computing primitives accepted to ISCA 2026, conducted by Prof. Ang Li prior to joining Unconventional AI. At Unconventional AI, we are continuously exploring novel architectural paradigms
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Report
Introducing Un-0: Generating Images with Coupled Oscillators
TL;DR. Executing deep neural networks on GPUs has dominated AI for a decade, but we think the next jump in energy efficiency demands a fundamentally different computer, one where physics does the computing. We built Un-0, an image generator powered by a s
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Report
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Tech stack
Technologies named in job postings at Unconventional AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
63
Postings analysed
9
Stack modernity
75/100AI adopter
Languages
Python
Verilog
Bash
SystemVerilog
Frameworks & libraries
LangChain
UVM
CUDA
DeepSpeed
Databases
Milvus
Pinecone
Weaviate
Cloud & platforms
Linux
AWS
Azure
Databricks
AI & ML
LLM
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Full Unconventional AI tech stack
63 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
28/100
Slowing
Open positions
10
0 opened / 0 closed in 30 days
ATS activity
Every ~18 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
60% ▲
Hardware
20% ▼
Finance
20% ▼
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Mountain View
Mountain View
United States
Engineering / R&D
Mountain View
10 open roles 5 posted in 90 days 90% engineering
hires for Hardware, AI/ML, Finance
Jobs
≈ $187k – $382k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Python
C++
DeepSpeed
vLLM
CUDA Toolkit
PyTorch Lightning
Diffusion Models
SGLang
TRL
Transformers
PyTorch
LLM
Ray
Mixture of Experts
CUDA
Triton
Post-training
Megatron-LM
NCCL
DevOps
Kubernetes
Apply
≈ $175k – $359k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Python
Bash
Weaviate
Databricks
Milvus
Pinecone
AI/ML
LangChain
LlamaIndex
AI Agents
LLM
Semantic Search
Semantic Search
Agentic Workflows
DevOps
Terraform
GCP
Datadog
Prometheus
Azure
CI/CD
AWS
Docker
Kubernetes
Grafana
Platform Engineering
Backstage
IAM
Linux
Unix
Cybersecurity
HashiCorp Vault
Apply
≈ $174k – $356k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Python
JavaScript
SQL
Node JS
Databricks
AI/ML
Cursor
LangChain
Claude Code
Prompt Engineering
AI Agents
LLM
RAG
Semantic Search
OpenAI Codex
Semantic Search
Machine Learning
Frontend
Next.js
React.js
DevOps
GCP
Azure
CI/CD
AWS
Apply
≈ $132k – $243k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Python
Machine Learning
Apply
≈ $87k – $176k per year (Estimated) • In office • 4+ years exp • Bachelor's Degree • Mountain View
Verilog
SystemVerilog
Machine Learning
Chips/EDA
UVM
Formal Verification
Apply
≈ $133k – $245k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
Verilog
Formal Verification
Apply
≈ $132k – $244k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
Python
SystemVerilog
Bash
Linux
Chips/EDA
UVM
Apply
≈ $134k – $247k per year (Estimated) • In office • 5+ years exp • Master's Degree • Mountain View
Python
Verilog
C++
MATLAB
Apply
Apply
Financials
Total raised
$475M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | Valuation | |
|---|---|---|---|---|
| Seed | 2025 | $475M | $4.5B | Details |
