InfiScale
infiscale-tech.com
Actively hiring
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
1001-5000
employees, estimated range
Hiring now
105
+1 posted in 30 days
Backers
1
Yunqi Partners
Momentum
0/100
no fresh signals
Last sign of life
1 mo ago
a posting or a news item
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one
Similar startupsby what they do, their industry and backers
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Purpose-built edge inference delivery network for enterprise AI.
SEMRON is a German semiconductor company founded in 2020. It designs 3D-stacked memcapacitive chips for on-device AI inference. The…
ThinkForce designs artificial intelligence inference chips for data centres. Its team came from established semiconductor and internet…
Biren Technology is a Shanghai semiconductor company founded in 2019 that designs general-purpose graphics processors for artificial…
How InfiScale hires
Truth index
D 53/100
Ghost roles
78%
Stale roles
0%
Reposted roles
0%
InfiScale scores D on the Alion truth index (A is best, E worst), measured over 105 open roles re-checked against its own hiring board: 78% 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
Overview
Headquartered in Shanghai, China, InfiScale (InfiScale Electronic Technology) is an artificial intelligence systems and software infrastructure company specializing in AI chip toolchains and high-performance inference solutions. The company develops foundational compiler technologies, cloud-to-edge inference optimization platforms, and automated code-translation tools - including CUDA-compatible operator migration - designed to bridge diverse hardware architectures with modern machine learning frameworks and accelerate time-to-market for AI semiconductors. By facilitating high-throughput, low-power model deployment across edge servers, industrial inspection systems, medical devices, and personal computing hardware, InfiScale plays a vital role in expanding the AI chip ecosystem and lowering the barrier to scalable enterprise AI adoption.
Tech stack
Technologies named in job postings at InfiScale over the last 12 months, by layer, with the share of postings for each.
Technologies in use
76
Postings analysed
69
Stack modernity
80/100AI adopter
Languages
C++35%
Python32%
SystemVerilog17%
Verilog16%
Frameworks & libraries
CUDA9%
JAX9%
MLIR7%
PyTorch7%
Cloud & platforms
Linux12%
CUDA Toolkit9%
Kubernetes9%
vLLM4%
AI & ML
BERT4%
LLM4%
ChatGPT1%
Claude1%
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Full InfiScale tech stack
76 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
28/100
Slowing
Open positions
105
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
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
18% ▼
Hardware
18% ▼
Backend
14% ▼
Operations
14% ▼
Industrial Engineering
14% ▼
Product
5% ▼
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
Shanghai
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Headquarters
Builds here
Office with open vacancies
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Shanghai
China
HQ
85 open roles 21 posted in 90 days 60% engineering 1000-5000 est. staff
hires for Hardware, Industrial Engineering, AI/ML
Zhuhai
China
Regional office
5 open roles 60% engineering 50-200 est. staff
hires for Hardware, Early Careers
Jobs
≈ $33k – $97k per year (Estimated) • In office • Full-Time • Shanghai
C++
SystemVerilog
Perl
SystemC
Synopsys Design Compiler
Synopsys Verdi
Apply
≈ $42k – $109k per year (Estimated) • In office • Full-Time • 5+ years exp • Shanghai
C++
Qwen
Apply
Apply
Apply
Apply
≈ $67k – $152k per year (Estimated) • In office • Full-Time • 8+ years exp • Shanghai
SystemC
TPU
Apply
≈ $42k – $96k per year (Estimated) • In office • Full-Time • 5+ years exp • Shanghai
SystemVerilog
Git
Chips/EDA
UVM
Apply
≈ $31k – $91k per year (Estimated) • In office • Full-Time • Shanghai
Apply
In office • Full-Time • Shanghai
Python
Perl
Copilot
Function Calling
LLM
RAG
Tool Use
DevOps
Linux
Apply
≈ $36k – $106k per year (Estimated) • In office • Full-Time • 5+ years exp • Shanghai
C++
CUDA Toolkit
JAX
CUDA
TPU
NCCL
NVLink
DevOps
Kubernetes
Linux
Apply
Apply