Senior Staff ML Engineer, Voice AI & Distributed Systems

ServiceNow; Santa Clara (CA); On-site; USD 201,000 - 352,000; Full time

Benefits offered by this job

Health plans

401(k) with company match

ESPP

Matching donations

Flexible time away

Family leave programs

Job summary

ServiceNow in Santa Clara, CA is seeking a senior engineer to design and implement the core Voice Platform, including Audio Acquisition, Conversation Management, Speech Generation, and integration with API and self-hosted Voice AI models.

You will partner with product managers to understand customer use cases, deliver scalable AI solutions, and deploy large distributed Voice AI systems across regions, building clean code and advancing reliability practices.

Qualifications

• 12+ years of industry experience.

Responsibilities

• Design, develop and implement the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, API integration, self-hosted Voice AI models).
• Partner with product managers to understand customer use cases and build for their success.
• Build and deploy large Voice AI distributed systems across regions and datacenters.
• Write high-quality, scalable code with best practices (Code Reviews, Unit tests).
• Contribute to SRE by turning operational use cases into software tooling requirements.
• Mentor colleagues and promote knowledge sharing across Voice AI engineering.

Skills

Voice AI systems

LLM-based applications

Python

Golang/Java

Agents / prompt engineering

Kubernetes / DevOps

AI integrations

AI tools (Claude Code, Cursor, Windsur

Tools

Kubernetes

Claude Code

Cursor

Windsurf

Job description

ServiceNow in Santa Clara, CA is seeking a senior engineer to design and implement the core Voice Platform, including Audio Acquisition, Conversation Management, Speech Generation, and integration with API and self-hosted Voice AI models.

You will partner with product managers to understand customer use cases, deliver scalable AI solutions, and deploy large distributed Voice AI systems across regions, building clean code and advancing reliability practices.