Jobs / United States / Uber
Sr. Staff Engineer (GenAI)
Uber · 🇺🇸 San Francisco, CA; Sunnyvale, CA
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 689 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. 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 Uber paid sponsored hires in similar roles237 certified filings for “Software Engineer” (Software Developers) in CA: $191k–$239k, median $213k. Most were filed at wage level III (38%) — 3 lottery entries, ≈46% 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 — Uber
The US Department of Labor certified 689 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. 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 Uber →
About the role
Sr. Staff Engineer (GenAI) About the Role Uber's Customer Obsession team builds the platform and AI that powers world-class support across mobile, web, and voice at global scale. We are now hiring a Senior Staff Engineer to architect, productionize, and scale an autonomous support agent that resolves customer issues end-to-end. Experience with agentic architectures is an important pre-requisite to be successful in this role. You'll push the state of the art in GenAI for customer service-LLM orchestration, evaluation, safety guardrails, multilingual support, and real-time voice-while holding a very high bar for reliability and cost efficiency. We are still at an early stage and value candidates with bias for action who get creative with GenAI tools to accelerate execution and experimentation. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- • Own the end-to-end agent architecture : agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on-brand conversations. • Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries ; design graceful degradation (e.g., human handoff) and safety guardrails (prompt-injection, jailbreak, PII redaction). • Advance retrieval & reasoning : Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded. • Establish evals that matter : offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM-as-judge (with calibrated human review) wired into CI/CD and experiment platforms. • Drive automation at scale : partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact . • Mentor/principal-lead multiple pods; set technical strategy and quality bars; coach senior engineers on agentic patterns, reliability, and experiment velocity. ---- Basic Qualifications ---- • 10+ years building production ML/AI systems; 4+ years leading complex ML initiatives end-to-end. • Deep expertise in LLM-driven systems (inference optimization, prompt/program design, fine-tuning, distillation/LoRA, safety/guardrails, evals). • Strong software engineering in Python plus one of Go/Java/C++ ; hands-on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real-time telemetry/observability . • Demonstrated ownership of high-availability services (SLO/SLA design, incident response, on-call leadership, postmortems). • Track record of shipping customer-facing intelligent experiences with measurable impact (A/B testing, metrics literacy). ---- Preferred Qualifications ---- • Agentic architectures in production (planner/executor, memory, multi-step reasoning) and RAG over complex, policy-heavy knowledge bases. • Experience building support automation for large consumer platforms (routing, policy codification, internal tooling, co-pilot/auto-resolve). • Multilingual NLU/NLG (code-switching, low-resource languages), hallucination mitigation, safety red-teaming, and privacy-by-design. • Practical expertise balancing speed and reliability at scale: experiment frameworks, feature flags, canary/guarded rollouts, and clear kill-switches. For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered