Senior Engineer, Commercial AI Forward Deployment

T-Mobile

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Frisco, TXBellevue, WA
Salary
$163,645–$295,205 / yr
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $229k
$133k $313k
below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $154,600–$235,750 — the blue band above. At the midpoint, this role pays about $229k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 72 open roles on FindRole.

Listed pay typically runs $138,996–$228,650 across 32 roles with salary data.

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At a glance

TL;DR · Senior Engineer, Commercial AI Forward Deployment

JOB TITLE: Sr Engineer, Commercial AI Forward Deployment The Sr Engineer, Commercial AI Forward Deployment joins the commercial AI programs team to serve as the primary builder for customer deployments. This role involves taking designs from architects and making them functional in customer environments by integrating devices like cameras, sensors, drones, and autonomous vehicles. You will build sensor and vision data pipelines, perform model fine-tuning, and manage inference services over the network and edge. Key technologies include Python, C++, Go, TypeScript, or Java, alongside Kubernetes, OpenShift, and CI/CD. You will solve complex Physical AI problems by combining hardware, software, and cellular networking. Responsibilities include writing production code, leading technical discovery, and managing Day 0 to 2 operations, including regression testing and root cause analysis for field issues.

What you'll do

  • Own the technical build for customer deployments from initial scoping through testing and final handoff.
  • Write and ship production code for device integrations, data pipelines, model fine-tuning, and inference services.
  • Lead technical discovery with customer engineering teams to turn requirements into implementation plans for latency and reliability.
  • Integrate solutions with T-Mobile's network and edge infrastructure, including network slicing and SIM/eSIM provisioning.
  • Manage Day 0 to 2 operations, including regression testing, incident triage, and root cause analysis of field issues.
  • Package customer-specific work into reusable blocks for the shared library and provide feedback on platform gaps.
  • Explain technical tradeoffs to customer stakeholders and internal business teams while escalating risks like hardware lead times.
  • Mentor engineers on the engagement through code reviews, pairing, and delivery standards.

What we're looking for

  • Bachelor's Degree and 4 years of related work experience in a relevant field or equivalent.
  • Production software development in Python and at least one of C++, Go, TypeScript, or Java.
  • Experience with containerized and edge deployment (Kubernetes/OpenShift), CI/CD, and observability.
  • Knowledge of data and ML pipelines including ingestion, fusion, fine-tuning, and inference.
  • Customer-facing technical communication, field troubleshooting, and root cause analysis skills.
  • 4-7 years of professional engineering experience in IoT, edge systems, data science/ML pipelines, or cellular network engineering (preferred).
  • Experience in solutions engineering or forward-deployed roles with direct external customer exposure (preferred).
  • Authorized to work in the United States.

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