Sr System Engineer - Av Labs
Uber's AV Labs is seeking a Sr. System Engineer to focus on ML inference services for autonomous driving. This role involves developing and deploying scalable ML inference solutions, optimizing models for embedded hardware, and collaborating with research teams to integrate new ML technologies into production systems.
What you'd actually do
- Develop and deploy scalable, reliable, and efficient ML inference services for autonomous driving systems.
- Optimize ML models for performance on embedded hardware.
- Design and implement robust monitoring and alerting systems for ML inference services.
- Collaborate with ML researchers and engineers to integrate new models and algorithms into production.
- Contribute to the development of best practices and tooling for ML deployment and operations.
Skills
Required
- Experience with ML inference serving frameworks (e.g., TensorFlow Serving, TorchServe, Triton).
- Strong understanding of ML model optimization techniques (quantization, pruning, knowledge distillation).
- Proficiency in C++ and Python.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Familiarity with embedded systems and hardware acceleration.
Nice to have
- Experience with autonomous driving systems or robotics.
- Knowledge of ML model development and training lifecycles.
- Experience with MLOps tools and practices.
Other signals
- Develop and deploy scalable, reliable, and efficient ML inference services for autonomous driving systems.
- Optimize ML models for performance on embedded hardware.
- Collaborate with ML researchers and engineers to integrate new models and algorithms into production.