42dot is a technology company pioneering frictionless transportation services. 42dot develops technologies and platforms integrating autonomous driving, connected vehicles, and smart city infrastructure. Backed by Space Capital.
About the role
Great models are only as good as the system they run on. This role sits at the boundary between the ML autonomy team's models and the on-board system, taking what the research and ML teams build and turning it into something that runs reliably, in real time, on real vehicle hardware. 42dot is looking for builders who want to own the last and hardest mile between a model that works in an offline eval and a model that works in a vehicle. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A track record of grit and ownership, with success moving difficult problems from ambiguity to successful deployment
- Bachelor's, Master's, or PhD in CS, EE, Robotics, or related field
- 5+ years of experience in systems or software engineering, with meaningful time in ML inference, embedded systems, or real-time software
- Experience deploying and optimizing ML models in production, including on resource-constrained hardware
- Strong C++ and Python skills, with experience working across the ML and systems boundary
- Background in autonomous driving or robotics on-board software
More about this role
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
Great models are only as good as the system they run on. This role sits at the boundary between the ML autonomy team's models and the on-board system, taking what the research and ML teams build and turning it into something that runs reliably, in real time, on real vehicle hardware. 42dot is looking for builders who want to own the last and hardest mile between a model that works in an offline eval and a model that works in a vehicle.
The on-board integration architecture is being defined right now, with no legacy deployment stack to retrofit. An early hire here will help shape:
The model deployment...
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