REMOTE Sr Software Engineer (performance modeling, Python / C++, hardware acceleration) (FT0292)

Company Description

Fortune Top 10 companies in the world

Job Description

Title : Sr Software Engineer (Performance modeling, Python / C++)

Location  : REMOTE or canddiate 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

1 Experience in performance modeling

2 Fluency in programming with Python / C++

3 Experience working with hardware acceleration (e.g. GPU, DSP, ML accelerator, CPU kernel library)

Nice-to-have Skills(OPTIONAL, Not mandatory):

1 Experience with machine learning or HPC workloads

2 Experience in cross-group and cross-functional collaboration with excellent communication skills

3 Experience in specific machine learning models

Qualifications

performance modeling, Python / C++

Additional Information

All your information will be kept confidential according to EEO guidelines.