Software Engineer - Infrastructure (Technical Leadership)

Facebook App; Menlo Park (CA); Teletrabalho; USD 271 000 - 347 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Bonus

Benefits

Resumo da oferta

Meta seeks an experienced Software Engineer to build the next generation of AI systems for production reliability. You will lead the development of an autonomous AI agent to investigate production incidents, identify root causes, craft safe mitigation plans, and execute them under human supervision.

You will shape agent architecture, context, and tooling, and apply foundation models through fine-tuning, reinforcement learning, distillation, and inference optimization.

Qualificações

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 12+ years of software engineering experience.
• Experience applying AI or machine learning systems to production problems.
• Hands-on experience shipping complex production systems.
• Experience coding in C++, Java, Python, or Rust.

Responsabilidades

• Define the technical vision and architecture for agentic reliability systems across Meta.
• 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.
• Develop major improvements in agent reasoning, context, tool use, planning, evaluation, learning, and safe execution.
• Explore and apply techniques including fine-tuning, reinforcement learning, distillation, pruning, and inference optimization.
• Move rapidly from ambiguous problems to prototypes and scale successful approaches.
• Build evaluation/experimentation systems linking agent quality to outcomes.
• Establish architectures and guardrails for production actions with authorization, auditability, and human oversight.
• Partner with Infrastructure, AI, Product, and Reliability leaders to integrate capabilities into Meta’s production ecosystem.
• Influence technical strategy and mentor other engineers in distributed systems and applied AI.

Conhecimentos

Distributed systems

Incident response

Applied AI

Technical leadership

C++, Java, Python, Rust

Formação académica

Bachelor's degree in Computer Science or Computer Engineering

Descrição da oferta de emprego

Meta is seeking an experienced Software Engineer to build the next generation of AI systems for production reliability. This role sits at the intersection of large-scale distributed systems, incident response, and applied AI. You will lead the development of an AI agent that can autonomously investigate production incidents, identify likely root causes, create safe mitigation plans, and execute them while humans supervise and can intervene. You will improve the agent's accuracy, autonomy, and real-world impact, while identifying other opportunities to apply agentic systems across incident prevention, detection, mitigation, observability, and infrastructure operations. This may include improving the agent's architecture, context, and tooling, or adapting foundation models through fine-tuning, reinforcement learning, distillation, pruning, and inference optimization.This is an applied engineering role, not a research position. The ideal candidate combines deep infrastructure expertise with sound judgment about when and how to apply AI to production problems, a long-term technical vision, and the ability to move quickly from an ambitious idea to a production system operating safely at Meta scale.This is also a deeply hands-on senior IC role. You will personally prototype, build, evaluate, and ship AI systems, working directly in the code and with production data. A central challenge is creating systems that improve from experience: learning from outcomes, identifying their own failure modes, testing changes, and safely increasing their effectiveness over time.Software Engineer - Infrastructure (Technical Leadership) Responsibilities:Define the technical vision and architecture for agentic reliability systems across MetaPersonally design, code, and ship production agentic systems for complex infrastructure problemsLead the development of an AI agent for production incident investigation and mitigation, advancing it toward accurate, trusted, and safely supervised autonomous actionDevelop major improvements in agent reasoning, context, tool use, planning, evaluation, learning, and safe executionExplore 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 gainsIdentify new high-value applications of AI across incident prevention, detection, mitigation, observability, and infrastructure operationsMove rapidly from ambiguous problems to prototypes, validate them against real production workloads, and develop successful approaches into reliable systems at scaleBuild evaluation and experimentation systems that connect agent quality to outcomes such as investigation accuracy, successful mitigation, incident duration, and reduced operational workBuild closed-loop improvement systems that turn production outcomes into evaluations, experiments, and better agent behaviorEstablish architectures and guardrails for production actions, including authorization, independent validation, auditability, rollback, and human oversightPartner with Infrastructure, AI, Product, and Reliability leaders to integrate agentic capabilities into Meta’s production ecosystemInfluence technical strategy across organizations and mentor other engineers working on distributed systems and applied AIMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience12+ years of software engineering experience, including experience building and operating large-scale distributed or infrastructure systemsExperience setting technical direction and leading complex, multi-year engineering efforts across organizational boundariesExperience applying AI or machine learning systems to production problemsDemonstrated experience moving from technical concept to production deployment and measurable impactExperience diagnosing complex production systems using telemetry, code, configuration, and dependency informationExperience coding in languages such as C++, Java, Python, Rust, or equivalentRecent hands-on experience building and shipping complex production systems, with the ability to move directly between architecture, experimentation, debugging, and implementationExperience influencing senior engineers and leaders without direct organizational authorityPreferred Qualifications:Experience with autonomous or semi-autonomous production actions and their safety, authorization, and rollback mechanismsExperience building systems that operate at hyperscale under strict reliability and latency requirementsExperience improving agent quality through evaluation, context engineering, fine-tuning, reinforcement learning, distillation, or model-serving optimizationTrack record of identifying unconventional opportunities, rapidly prototyping solutions, and changing the technical direction of a large organizationDeep expertise in observability, incident response, change safety, distributed systems, or production infrastructureExperience building self-improving or self-evolving systems, including automated experimentation, feedback loops, hill climbing, reinforcement learning, or recursive self-improvementExperience building production AI agents that reason across telemetry, code, configuration, deployments, and operational knowledgeAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$271,000/year to $347,000/year + bonus + equity + benefitsIndividual 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.