Senior Platform Engineer, AI Infrastructure & Embedded Systems

Upscale, Inc.; United States; On-site; USD 237,000 - 260,000; Full time

Job summary

Upscale, Inc. seeks a Senior Staff Platform Engineer in Santa Clara, CA to own end-to-end platform software spanning BSP, drivers, and OpenBMC for scalable AI infrastructure. You will work across x86/ARM, bridging hardware and software from low-level firmware to user-space services.

The role emphasizes deep embedded systems expertise, diagnostics, and production-grade software with a focus on performance, reliability, and cross-functional collaboration in a fast-moving AI hardware stack.

Qualifications

• Strong expertise in C/C++ for embedded and systems-level development.
• Experience with Linux BSP, platform drivers, and OpenBMC tooling.
• Proficiency in Python and Bash for automation, testing, and tooling.

Responsibilities

• Design and develop Linux BSP, platform drivers, and user-space services for multiple platforms (SONiC, FBOSS, OpenBMC).
• Develop embedded diagnostic firmware for hardware bring-up and validation.
• Build automated test infrastructure in Python and Bash for orchestration, log parsing, and CI/CD integration.
• Instrument code for coverage and ensure production-grade quality and reliability.
• Collaborate with hardware, firmware, and validation teams on priorities and long-term diagnostics.
• Own code quality, performance, and reliability with structured reviews and tests.

Skills

C/C++ Embedded

Python

Bash scripting

Diagnostics

Embedded HW/SW

System debugging

Education

Bachelor's or higher in Electrical/Computer Engineering

Tools

OpenBMC

FBOSS

SONiC

CI/CD tooling

Job description

Upscale, Inc. seeks a Senior Staff Platform Engineer in Santa Clara, CA to own end-to-end platform software spanning BSP, drivers, and OpenBMC for scalable AI infrastructure. You will work across x86/ARM, bridging hardware and software from low-level firmware to user-space services.

The role emphasizes deep embedded systems expertise, diagnostics, and production-grade software with a focus on performance, reliability, and cross-functional collaboration in a fast-moving AI hardware stack.