Avride
Software Engineer – ML Platform
Austin, Texas · Full-time · Posted Apr 1, 2026
- Visa sponsorship
- Candidates must be authorized to work in the U.S.; the employer does not offer sponsorship.
About the job
Build and operate a Kubernetes-based ML platform for orchestrating and scaling autonomous-driving model training, evaluation, and data processing.
What you'll do
- Build platform capabilities for workflow orchestration, distributed execution, and multi-tenant resource governance.
- Improve training throughput and platform efficiency by addressing data-access, storage, network, and resource bottlenecks.
- Support ML teams by debugging production workloads and turning recurring issues into platform improvements.
What they ask for
- Strong proficiency in Python or Go; C++ is a plus.
- Track record designing and building scalable, maintainable systems and services.
- Experience operating production services end-to-end, including APIs, reliability practices, and observability.
- Deep Kubernetes knowledge, plus Linux and systems debugging skills.
Nice to have
- Experience with Argo Workflows, Ray, MLflow, or comparable distributed ML tooling.
- Hands-on experience with large-scale ML training systems or optimizing distributed resource usage and performance.
Tools
Python, Go, C++, Kubernetes, Argo Workflows, Ray, MLflow, Linux
AI focus
Develop and operate infrastructure for large-scale ML training, evaluation, and data processing, including distributed execution and resource governance.
Model-written summary · the original posting is authoritative