Cardog | Toronto, ON | Remote/Hybrid (Canada) | Full-time
AI-powered automotive platform — we’re building the infrastructure layer for vehicle data, from VIN decoding to market intelligence, powering government and public-sector vehicle programs.
Looking for: Automotive experience, Full-Stack, AI/ML, Data Engineers (public-sector/govtech experience a plus)
Cardog | Toronto, ON | Remote (Canada) | Full-time
AI-powered automotive platform — we're building the infrastructure layer for vehicle data, from VIN decoding to market intelligence.
Looking for: Automotive experience, Full-Stack, AI/ML, Data Engineers
not sure what PocketOS does or why your whole dataset would be a single volume without a clear separation between application and automotive data. how are you decoding VINs?
Cardog | Toronto | Full Stack Engineer | In-person
We build automotive software. We work with dealerships on ad-hoc projects, websites, and pricing tools. We also run consumer facing products - a web app for vehicle shopping, research and market data, and a mobile app.
Right now we're building EV battery health diagnostics - connecting to a car's BMS over CAN bus, pulling cell voltages and state of health, generating reports. Mix of hardware and software.
Small company with real clients and real revenue. One engineer. Looking for a second who wants to own things e2e.
The need for proxies in any legitimate context became obsolete with starlink being so widespread. Throw up a few terminals and you have about 500-2k cgnat IP addresses to do whatever you like.
why do we insist on bringing the worst tech from sci-fi to reality? is our collective intelligence still not enough to thwart the social and market dynamics?
all of these problems are better articulated at the level you just explained them. the code for these issues is convoluted and is only of use when an entity (human or not) can actually manipulate the symbolic text that achieves that task. a random oauth stub is of 0 use to the most skilled programmers without documentation as to what contracts and invariants are. bits in a file is just a means
The battery uncertainty is real, but I think the bigger issue is information asymmetry.
Looking at actual market data, the spread on used EVs is wild - a 2022 Tesla Model S ranges from $57 to $112k depending on trim/condition (https://cardog.app/tools/valuation/tesla/model_s/2022). That's a $60k spread on the same year vehicle. Compare that to ICE vehicles where the range is typically much tighter.
When buyers can't confidently price an asset, they discount heavily. The depreciation problem might actually be a data problem - we just don't have the standardized battery health reporting and historical comps that exist for ICE vehicles yet.
Looking for: Automotive experience, Full-Stack, AI/ML, Data Engineers (public-sector/govtech experience a plus)
Stack: React Native/Expo, Next.js, Hono, Cloudflare Workers, PostgreSQL, TypeScript everywhere
https://cardog.app/careers