Company Description
Fortune Top 10 companies in the world
Job Description
Title: Sr Software Engineer (Performance modeling, Python / C++)
Location: REMOTE or candidate can opt to work from Menlo Park, CA office
Nature of employment: 6+ months- potential for extension up to 2 years
Direct client
Internal job id: FT0292
Summary
Our team is building state-of-the-art machine learning SW/HW infrastructure. 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 cross-functional 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 cross-group and cross-functional collaboration with excellent communication skills
- Experience in specific machine learning models
Education/Experience
- 5+ yrs, total experience: 10+ yrs (not strict, grad school experience can count)
- Bachelor’s 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 on-site would be preferred.
Candidate Requirements
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)
Nice-to-have Skills(OPTIONAL, Not mandatory):
- Experience with machine learning or HPC workloads
- Experience in cross-group and cross-functional collaboration with excellent communication skills
- Experience in specific machine learning models
Qualifications
performance modeling, Python / C++
Additional Information
All your information will be kept confidential according to EEO guidelines.
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