Director of Software Engineering

5V Tech; San Francisco (CA); On-site; USD 320,000 - 420,000; Full time

Job summary

5V Tech in San Francisco develops edge AI semiconductor solutions and embedded software platforms. The Embedded AI Platform Director will lead the embedded software ecosystem, SDKs, and deployment platform while staying hands-on with architecture reviews and optimization.

The role requires deep embedded systems expertise, strong edge AI deployment knowledge, and experience guiding multidisciplinary teams through complex software initiatives.

Qualifications

• Lead embedded software, platform, validation, and AI engineering teams.
• Define software architecture, SDK strategy, and edge AI roadmap.
• 12+ years embedded software experience.
• 4+ years leading engineering teams.
• Hands-on Embedded C/C++ and Python skills.
• RTOS experience with FreeRTOS/Zephyr.

Responsibilities

• Lead embedded software, platform, validation, and AI engineering teams.
• Define software architecture, SDK strategy, and edge AI roadmap.
• Drive development of embedded inference pipelines and deployment tooling.
• Collaborate with silicon, hardware, and systems teams.

Skills

Embedded software

Leadership

C/C++

Python

RTOS experience

Tools

TensorFlow Lite

ONNX Runtime

TVM

Edge Impulse

FreeRTOS

Zephyr

ARM platforms

RISC-V

Job description

Salary: $320,000 – $420,000 base + bonus + equity

An innovative edge AI semiconductor company is looking for an Embedded AI Platform Director to lead development of its embedded software ecosystem, SDKs, and edge AI deployment platform.

This is a highly technical leadership role for someone with deep embedded systems expertise, strong edge AI deployment knowledge, and experience leading multidisciplinary engineering teams while remaining hands‑on.

What You’ll Do

• Lead embedded software, platform, validation, and AI engineering teams
• Define software architecture, SDK strategy, and edge AI roadmap
• Drive development of embedded inference pipelines and deployment tooling
• Collaborate closely with silicon, hardware, and systems teams
• Remain technically involved in architecture reviews, debugging, and optimization
• Guide integration with TensorFlow Lite, ONNX Runtime, FreeRTOS, and Zephyr

What We’re Looking For

• 12+ years embedded software experience
• 4+ years leading engineering teams
• Strong hands‑on Embedded C/C++ and Python skills
• Deep RTOS experience (FreeRTOS, Zephyr, or similar)
• Knowledge of quantization, inference optimization, and constrained hardware
• Background in semiconductors, embedded AI, or edge computing preferred

Nice to Have

• TensorFlow Lite / TFLite Micro
• ONNX Runtime
• TVM / Edge Impulse
• ARM or RISC-V platforms

Take the next step in your career and apply today!