Job Summary
The primary objective of this role is to architect and enhance comprehensive model serving solutions specifically for robotics applications. This encompasses both on-robot runtimes and cloud-based infrastructures. The successful candidate will engage in thorough performance analysis from start to finish and work in conjunction with research and engineering teams to implement scalable foundational models for robotics.
Responsibilities
- Design and optimize full-stack model serving solutions for robotics.
- Perform extensive end-to-end performance evaluations.
- Collaborate with cross-functional teams in the deployment of robotics foundation models.
Qualifications
- Bachelor’s degree or higher in a relevant field.
- At least 4 years of experience in software development.
- Proficiency in LLMs/VLMs and familiarity with machine learning frameworks, such as JAX or TensorFlow.
- Experience in enhancing model inference performance on hardware accelerators.
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