Home/Jobs/Staff Machine Learning Engineer - VoIP Infrastructure
US · visa sponsor on record

Staff Machine Learning Engineer - VoIP Infrastructure

ServiceNow · Dallas, TX · posted 2 days ago

Apply on ServiceNow’s site →

Applications are handled on ServiceNow’s own site. Fortune Vacancies does not collect applications and is not the employer.

Does this employer sponsor visas?

311
Certified filings · by ServiceNow, FY2026 Q2
$201,212
Median filed wage · for “Staff Software Engineer” · 27 filings

Source: US DOL Office of Foreign Labor Certification, LCA disclosure data, FY2026 Q2. Government data is published roughly one quarter in arrears.

This advert was matched to Staff Software Engineer, a job title ServiceNow has itself sponsored.

The figure above is not this job’s salary. It is what ServiceNow reported to the US Department of Labor for the closest role it has sponsored. A filing history means this employer has sponsored before — it is not a promise that this opening carries sponsorship, and not an offer of pay. Check the advert and ask the employer.

See every role ServiceNow has sponsored, and what it paid →

Advertisement

The role, as ServiceNow describes it

As a Staff Machine Learning Engineer - VoIP Infrastructure you will: - Contribute to the design, development and implementation of VoIP infrastructure, telephony platforms, and observability features that power AI-driven voice workloads - Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI platforms perform efficiently, scale reliably, and integrate seamlessly across SIP/RTP, Kamailio, RTPEngine, and related telecom systems. - Contribute to the continuous improvement of the SRE practice by turning operational telephony and AI workload use cases into requirements for software tooling. - Contribute to the execution of deployment and support activities for VoIP systems and AI/ML developers operating in production voice environments. - Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.). - Work with product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery — spanning both telephony infrastructure and LLM integration layers. - Experience integrating LLMs into voice platforms and real-time communication systems. - Be a mentor for colleagues and help promote knowledge-sharing across telecom and AI engineering disciplines.

To be successful in this role you have: - Hands-on experience building VoIP systems using SIP/RTP protocols; - Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar); - Working knowledge of PSTN infrastructure and telecom protocols; - Experience integrating applications on top of LLMs (using existing models, not building them); - Experience in prompt engineering and developing LLM based features - 4+ years of development experience with Python, GoLang, Java or similar languages. - 4+ years of experience operating highly available distributed workloads on Kubernetes following a DevOps approach. - Working experience building distributed systems with cloud-native software; - Experience with software-defined networking, infrastructure as code and configuration management; - Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI) is considered an asset - Experience building software for compliance and security in regulated environments is considered an asset - 4+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health is considered an asset

For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race,

Read the full advert and apply on ServiceNow’s site →

EvoResume AI-powered resume builder — create your CV with an AI assistant
Free AI resume builder

Build your resume before you apply

Sponsored roles draw hundreds of applicants, and most are filtered by tracking software before a person reads them. EvoResume builds an ATS-ready resume with you free, and its checker scores how cleanly yours parses and shows what to fix — so you fix it before you apply, not after.

Build your resume free → evoresume.com · free AI resume builder · free ATS check

← All open roles at proven visa sponsors · How US visa sponsorship works