Applied ML Engineer: SoC Architecture & Power Tuning

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Socket.dev seeks an AI/ML Engineer to turn hardware data into architectural insight for next‑gen Apple‑like SoCs. You will study and improve performance and power across the full product lifecycle, partnering with silicon and OS teams to implement changes on real silicon and ship them.

Ideal candidates blend research and shipping product, with large‑scale data and ML experience. You will apply ML techniques to vast telemetry, work in Python and modern DL frameworks, and contribute to the

Qualifications

• Bachelor or higher in CS/CE/EE or related field.
• Experience deploying ML systems in production.
• Experience applying ML to large real-world datasets.
• Python programming and modern DL frameworks.

Responsibilities

• Turn complex hardware data into architectural insight.
• Study and improve performance and power behavior of modern SoCs across the full product lifecycle.
• Work with silicon and OS teams to implement changes on real silicon and bring them to ship.
• Combine ML research with hands-on engineering at the intersection of data, system architecture, and ML.

Skills

Applied ML

Production ML systems

Python

Deep learning

Data analysis

ML in hardware

Education

B.S. in Computer Science/Engineering

M.S./Ph.D. in CS/CE/EE

Tools

C/C++ modeling infrastructure

Job description

Socket.dev seeks an AI/ML Engineer to turn hardware data into architectural insight for next‑gen Apple‑like SoCs. You will study and improve performance and power across the full product lifecycle, partnering with silicon and OS teams to implement changes on real silicon and ship them.

Ideal candidates blend research and shipping product, with large‑scale data and ML experience. You will apply ML techniques to vast telemetry, work in Python and modern DL frameworks, and contribute to the