Software Engineer – ML Platform
Avride · Austin, Texas
Roboticsonsite
At a glance
Highlights
- Build infrastructure powering large-scale ML training for autonomous driving.
- Own critical platform capabilities improving throughput and efficiency.
- Turn recurring workload issues into platform-level fixes for ML teams.
Ideal candidate
A systems-minded engineer who loves building reliable platforms and digging into complex performance problems to make ML teams faster and more efficient.
Requirements
- Strong proficiency in Python or Go (C++ a plus)
- Track record designing and building scalable, maintainable systems and services
- Experience operating production services end-to-end including APIs, reliability and observability
- Deep knowledge of Kubernetes scheduling, resource management, controllers and pod lifecycle
- Solid Linux and systems debugging skills across performance, networking and storage/IO
- Ability to troubleshoot complex production issues across logs, metrics and traces
- remote policy
- No remote work
- visa sponsorship
- No sponsorship
Lab profile
About Avride
U.S. startup developing and operating autonomous cars and delivery robots on a shared platform.
What they build
- Autonomous cars
- Delivery robots
Known for
- Shared car-robot autonomy technology
- Motion planning and decision-making
- AV safety metrics and evaluation
- Real-world robotaxi operations
Key facts
- Founded in 2017
- Headquartered in Austin, TX
- Few hundred engineers
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