Production Systems Engineer, Sustaining
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
Meta is seeking an experienced Production Systems Engineer to join our Release to Production (RTP) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The RTP team is responsible for the Hardware Lifecycle of all Meta servers including pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues.
RTP Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Facebook services, and data center operations teams to test systems before release to our production data centers, and to track the health and life cycle of servers in production.Production Systems Engineer, Sustaining Responsibilities
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.
RTP Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Facebook services, and data center operations teams to test systems before release to our production data centers, and to track the health and life cycle of servers in production.Production Systems Engineer, Sustaining Responsibilities
- Develop robust, industry leading practices for supporting AI/HPC infrastructure at scale
- Interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures
- Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues
- Implement sustaining workflows across hardware and software stacks, develop and communicate sustaining practices internally
- Troubleshoot, diagnose and root cause of system failures and isolate components and failure scenarios while working with .internal and external stakeholders
- Drive necessary discussions with external and internal teams on test specification and methodologies to improve test quality on an ongoing basis
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5+ years experience in hardware systems technologies or supporting production hardware at scale
- Experience in deploying and productionizing AI/HPC systems and/or related components at scale
- Experience in software and hardware co-design for hyperscale systems
- Experience in object oriented programming (e.g., Python, C/C++)
- Engineering for different server and network datacenter systems
- 8+ years of experience in providing production support for large-scale systems
- 8+ years of experience in working with AI/HPC systems, including hardware and software components, co-design
- Experience in developing or debugging AI/HPC systems, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)
- Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads)
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.
Job stats:
1
0
0
Categories:
Deep Learning Jobs
Engineering Jobs
Product Jobs
Tags: Architecture Computer Science CUDA Engineering GPU HPC Physics Python PyTorch Testing VR
Perks/benefits: Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Sr. Data Engineer jobsBusiness Intelligence Developer jobsPrincipal Data Engineer jobsBI Developer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsJunior Data Analyst jobsData Science Intern jobsDevOps Engineer jobsData Science Manager jobsData Manager jobsSoftware Engineer II jobsAccount Executive jobsData Analyst Intern jobsLead Data Analyst jobsStaff Software Engineer jobsBusiness Data Analyst jobsSr. Data Scientist jobsAI/ML Engineer jobsData Specialist jobsSenior Backend Engineer jobsData Governance Analyst jobsData Engineer III jobsBusiness Intelligence Analyst jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsLinux jobsKPIs jobsKafka jobsTerraform jobsGitHub jobsJavaScript jobsPostgreSQL jobsRDBMS jobsData Warehousing jobsNoSQL jobsClassification jobsStreaming jobsBanking jobsScikit-learn jobsPrompt engineering jobsComputer Vision jobsRAG jobsPhysics jobsGoogle Cloud jobsPandas jobs
Oracle jobsdbt jobsScala jobsHadoop jobsBigQuery jobsGPT jobsData warehouse jobsReact jobsR&D jobsLangChain jobsScrum jobsDistributed Systems jobsPySpark jobsLooker jobsMicroservices jobsIndustrial jobsELT jobsCX jobsJira jobsSAS jobsOpenAI jobsRedshift jobsModel training jobsTypeScript jobsJenkins jobs