Jobs / United States / AT&T Services INC
Lead Member of Technical Staff - Residential Gateway Systems Engineer
AT&T Services INC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What AT&T Services INC paid sponsored hires in similar roles1 certified filing for “Principal Member of Technical Staff” (Computer Systems Analysts) in NJ: $204k–$204k, median $204k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — AT&T Services INC
The US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for AT&T Services INC →
About the role
This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered. AT&T is transforming Residential Gateway Operations from reactive support to engineering-driven autonomous operations. As a Lead Member of Technical Staff on the Residential Gateway Operations Engineering team, you will help shape the future of broadband service assurance for one of the world's largest telecommunications networks. In this role, you'll design and build intelligent platforms that leverage large-scale telemetry, advanced analytics, AI, and automation to proactively identify software defects, detect customer-impacting issues, accelerate root cause analysis, and automate remediation across millions of residential gateways. You'll work at the intersection of software engineering, distributed systems, cloud-scale analytics, and AI-powered operations to improve broadband customer experience while driving operational efficiency at scale. What You'll Do: • Design and develop software platforms that ingest, analyze, and act on telemetry from millions of residential broadband devices. • Build AI-enabled applications and operational workflows utilizing LLMs, agents, and machine intelligence to improve troubleshooting, analysis, and decision-making. • Create large-scale analytics and automation solutions that identify software defects, operational anomalies, and emerging customer-impacting issues before they become widespread incidents. • Develop automated root cause analysis capabilities that correlate network, device, software, and customer experience data across complex ecosystems. • Design and implement automated remediation solutions that safely resolve known issues with minimal human intervention. • Partner with engineering, product, software development, operations, and vendor teams to improve platform reliability, software quality, and customer experience. • Drive technical strategy and architecture decisions for next-generation operational intelligence and autonomous operations platforms. What You'll Bring: • Strong software engineering and systems engineering experience building large-scale, distributed applications and platforms. • Proficiency in Python and modern software development practices, including APIs, data pipelines, testing, CI/CD, and cloud-native development. • Experience designing and implementing scalable automation solutions for operational or customer-facing environments. • Experience developing applications that leverage AI technologies, including large language models (LLMs), agents, retrieval systems, or related AI frameworks. • Strong understanding of system architecture, observability, telemetry collection, event processing, and operational monitoring. • Ability to translate ambiguous business and operational challenges into scalable engineering solutions. • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science, or a related STEM discipline. What You'll Need : • Experience building AI-powered tools that improve operational efficiency, automate workflows, or enhance decision support. • Knowledge of large-scale telemetry analytics, streaming data platforms, data engineering, or data science techniques. • Experience developing platforms that support fault detection, anomaly detection, predictive analytics, or automated remediation. • Familiarity with broadband, networking, Wi-Fi, residential gateways, connected devices, or telecommunications environments. • Experience working across multiple disciplines to influence technical direction and drive complex initiatives from concept through deployment. • Passion for solving large-scale engineering problems