Turing
tur.ing
Actively hiring
Automotive Manufacturing
Machine Learning
Autonomous Driving
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How Turing hires
Truth index
D 51/100
Ghost roles
82%
Stale roles
0%
Reposted roles
0%
Turing scores D on the Alion truth index (A is best, E worst), measured over 17 open roles re-checked against its own hiring board: 82% 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
Turing develops AI-driven technology to achieve fully autonomous driving, pursuing ‘complete autonomous driving’ through end-to-end machine learning and generative AI. The company researches and builds vehicle-mounted E2E systems, physical foundation models and simulation tools, and collaborates with automakers and national programs such as Japan’s GENIAC to accelerate in-vehicle deployment. Turing targets the automotive and mobility markets from its Tokyo base and positions itself as a Japanese challenger aiming to surpass incumbent autonomous driving players such as Tesla.
News
Alan Turing asked "Can machines think?" in 1950; more than seven decades later, his experiment still shapes how we judge AI- Moneycontrol.com
Alan Turing's 1950 imitation game laid the foundation for the Turing Test, a way to assess machine intelligence through human-like behaviour, now central to debates around modern AI chatbots.
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Turing did not propose a "test". Reading the 1950 paper in the original Genealogy of AI: Reading Primary Sources #1 Sources and SupplementsAIの系譜
What I did in this videoI read the original text of A. M. Turing's "Computing Machinery and Intelligence" (Mind, 1950), the paper that gave rise to the term "Turing Test". There is only one way to read it: not by saying "he is said to have said this," but
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Turing Award Winner John Hopcroft Discusses Education and Talent Development in the AI Era
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A single ball on a fixed table can compute: Eva Miranda and Isaac Ramos prove that two-dimensional billiards are Turing complete - Centre de Recerca Matemàtica
Eva Miranda (UPC, CRM) and Isaac Ramos (ETH Zürich) show that a point particle bouncing inside a planar table with fixed walls can simulate a universal Turing machine, settling a question Cristopher Moore left open in 1990. The result grew out of a master
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A Turing Machine Is Just a Finite Automaton with Two Stacks: A Comment on Teaching Theory of Computation
Traditionally, when we teach Theory of Computation, we start with finite automata, we show that they are not sufficient, then we switch to pushdown automata (i.e., automata-with-stacks). Automata-with-stacks are also not sufficient, so we introduce Turing
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Tech stack
Technologies named in job postings at Turing over the last 12 months, by layer, with the share of postings for each.
Technologies in use
28
Postings analysed
10
Stack modernity
69/100
Languages
Python40%
C++30%
TypeScript10%
Frameworks & libraries
PyTorch20%
Transformers10%
Accelerate10%
CUDA10%
Cloud & platforms
AWS60%
GCP50%
Azure20%
Linux20%
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Full Turing tech stack
28 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
59/100
Growing
Open positions
17
1 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
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.
Security
33% ▲
Administrative
33% ▼
Legal
33% ▼
Activity Timeline
Added SIEM to stack
Oct 2026
New location: Tokyo
Oct 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
1
Busiest office
Tokyo
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Headquarters
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Tokyo
Japan
Engineering / R&D
16 open roles 2 posted in 90 days 81% engineering 50-200 est. staff $67k Avg Salary
hires for AI/ML, Backend, Field & Service
Ōta
Japan
Regional office
平和島6丁目1-1 東京流通センター物流ビルA棟AE2-1-2, 大田区, 東京都, 143-0006, JP
Jobs
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In office • Full-Time • Tokyo
PyTorch
InfiniBand
DevOps
GCP
SLURM
CI/CD
AWS
Kubernetes
Platform Engineering
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$45k – $64k per year • In office • Full-Time • Tokyo
Python
DeepSpeed
Knowledge Distillation
Accelerate
Transformers
PyTorch
FSDP
Model Distillation
Machine Learning
DevOps
SLURM
AWS
Linux
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$32k – $44k per year • In office • Internship • Tokyo
GCP
Azure
AWS
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$32k – $44k per year • In office • Internship • Tokyo
GCP
Azure
AWS
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$45k – $64k per year • In office • Full-Time • Tokyo
Python
TypeScript
C++
Mypy
DevOps
GCP
CI/CD
AWS
Docker
Linux
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$45k – $64k per year • In office • Full-Time • Tokyo
CUDA Toolkit
CUDA
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$38k – $64k per year • In office • Full-Time • Tokyo
Python
C++
MLFlow
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$38k – $64k per year • In office • Full-Time • Tokyo
Python
C++
Machine Learning
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$45k – $64k per year • In office • Full-Time • Tokyo
KV Cache
Robotics
SLAM
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$64k – $95k per year • In office • Full-Time • Tokyo
InfiniBand
NVLink
DevOps
Terraform
Ansible
GCP
Azure
AWS
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$45k – $64k per year • In office • Full-Time • Tokyo
Python
OpenCV
ONNX
TensorRT
MMDetection
PyTorch
Machine Learning
DevOps
SLURM
AWS
Linux
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