SWHW Infrastructure Engineer

Summary:
We are looking for a software engineer working on tracking performance indicators and metrics for key benchmarks that matter to the company build up profiling infrastructure to extract more insights and build up performance models which we can use the predict execution latency of a given model.

Responsibilities

• Work with team members and crossfunctional partners to build and improve our profiling and tracing capabilities.
• Maintain and track benchmarks and metrics over time automate and streamline the process along the way. Maintain a database of the results and extract useful insights out of it.
• Build performance model using the result database.

Must have skills:

• Experience in performance modeling
• Fluency in programming with Python / C
• Experience working with hardware acceleration (e.g. GPU DSP ML accelerator CPU kernel library)

Good to have skills:

• Experience with machine learning or HPC workloads
• Experience in crossgroup and crossfunctional collaboration with excellent communication skills
• Experience in specific machine learning models

Education/Experience:

• 5 yrs total experience: 10 yrs
• Bachelors degree in computer science similar technical field or equivalent practical experience.

Location:

• The majority of the team sit at Menlo Park CA and Seattle WA. There is no physical presence requirements and this role can be remote but onsite would be preferred.