软件工程师 - 基础设施

Meta（Meta Platforms）岗位：Software Engineer - Infrastructure (Technical Leadership) Responsibilities

Personally design, code, and ship production agentic systems for complex infrastructure problems

Lead the development of an AI agent for production incident investigation and mitigation, advancing it toward accurate, trusted, and safely supervised autonomous action

Develop major improvements in agent reasoning, context, tool use, planning, evaluation, learning, and safe execution

Explore and apply techniques including automated hill climbing, fine-tuning, reinforcement learning, model routing, distillation, pruning, and inference optimization, selecting the simplest approach that produces measurable gains

Identify new high-value applications of AI across incident prevention, detection, mitigation, observability, and infrastructure operations

Move rapidly from ambiguous problems to prototypes, validate them against real production workloads, and develop successful approaches into reliable systems at scale

Build evaluation and experimentation systems that connect agent quality to outcomes such as investigation accuracy, successful mitigation, incident duration, and reduced operational work

Build closed-loop improvement systems that turn production outcomes into evaluations, experiments, and better agent behavior

Establish architectures and guardrails for production actions, including authorization, independent validation, auditability, rollback, and human oversight

Partner with Infrastructure, AI, Product, and Reliability leaders to integrate agentic capabilities into Meta’s production ecosystem

Influence technical strategy across organizations and mentor other engineers working on distributed systems and applied AI

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

12+ years of software engineering experience, including experience building and operating large-scale distributed or infrastructure systems

Experience setting technical direction and leading complex, multi-year engineering efforts across organizational boundaries

Demonstrated experience moving from technical concept to production deployment and measurable impact

Experience diagnosing complex production systems using telemetry, code, configuration, and dependency information

Recent hands-on experience building and shipping complex production systems, with the ability to move directly between architecture, experimentation, debugging, and implementation

Experience influencing senior engineers and leaders without direct organizational authority

Experience with autonomous or semi-autonomous production actions and their safety, authorization, and rollback mechanisms

Experience building systems that operate at hyperscale under strict reliability and latency requirements

Experience improving agent quality through evaluation, context engineering, fine-tuning, reinforcement learning, distillation, or model-serving optimization

Track record of identifying unconventional opportunities, rapidly prototyping solutions, and changing the technical direction of a large organization

Deep expertise in observability, incident response, change safety, distributed systems, or production infrastructure

Experience building self-improving or self-evolving systems, including automated experimentation, feedback loops, hill climbing, reinforcement learning, or recursive self-improvement

Experience building production AI agents that reason across telemetry, code, configuration, deployments, and operational knowledge

Meta builds technologies that help people connect, find communities, and grow businesses.

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People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

12+ years of software engineering experience, including experience building and operating large-scale distributed or infrastructure systems.