Posted by Overview
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world.
Meta Careers Opportunities for Graduates Fresher, Entry Level, Mid Level and Experience Professionals in various domain such Technology, Engineering, Cyber securities, AI, Robotics, Digital, Operation and many more
Do you feel that you can do more than what your network’s growth allows? Do you want to solve problems that can only be seen in large scale environments? Do you want to work on one of the most dynamic, fast-paced networks in the world? Do you want to develop innovative solutions to our challenges and ship them into production? Then this is the role for you!
Meta Graduates Internship 2024
Network Production Engineer, Intern
Meta is looking for talented, highly motivated university students for our Network Engineering team. As a member of the team, you will work alongside experienced Backbone, Data Center, Production Engineers (Network) on a large-scale global network.
Job Responsibilities
Manage and maintain multi-vendor, multi-protocol datacenter and backbone networks
Define, and develop optimized network monitoring and automation systems
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used to support billions of users all around the world
Qualifications:
Currently has, or in the process of obtaining, a Bachelor’s, Master’s, or PhD degree in Computer Science, Computer Engineering, or a related technical discipline.
Experience with computer networks
Experience in UNIX, TCP/IP, network fundamentals, or similar.
Experience coding in at least one language (Python and C++ are all in heavy use)
Ability to learn new concepts around network design and management
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Knowledge of routing protocols such as BGP, and ISIS
Intent to return to full-time degree program after completion of the internship
Experience working cross-functionally
For more details to apply, Click here!
Production Engineer Intern
Job Responsibilities
Own back-end services like our data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcached infrastructure, and everything in between
Write and review code, develop documentation, and debug the hardest problems, live, on some of the largest and most complex systems in the world
Minimum Qualifications
Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a
Bachelors or Masters degree in computer science or a related field
Experience in a *nix (Linux, BSDs, Solaris, or another UNIX-like OS) or Windows OS
Experience coding in at least one language
1 or more years with new development languages (Python, Hack/PHP, C++, Java, Rust, and GoLang)
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
Understanding of TCP/IP networking fundamentals
Knowledge of internet service architectures (such as load balancing, LAMP, CDN’s)
Intent to return to full-time degree program after completion of the internship
For more details to apply, Click here!
Research Scientist Intern, Systems ML – SW/HW Co-Design – Inference
Meta is seeking Research Scientist Interns to join our AI & Systems Co-Design HPC & Inference team to drive the definition of our next-generation AI Systems Inference and Training architectures.
The team works across HW types (GPUs, ASICs), workload types (Recommendation Models, LLM, LDM) and workloads (Training & Inference). The team drives innovation on:
– Low precision Numerics for Training & Inference
– ML operator / Kernel optimizations for Training & inference
– Inference E2E performance – Model, SW, System, Accelerator
– Performance modeling and simulations
– HPC Software Optimizations
– GPU / ASIC optimizations
– Software libraries, models, and frameworks
In this role, you will work cross-functionally with internal software and platforms engineering teams to understand the workloads and infrastructure requirements.
You will drive technology path-finding, roadmap definition and co-design activities to deliver new capabilities and efficient systems for our fleet.
You will also work with external industry partners to influence their roadmaps and build the best products for Meta’s Infrastructure.
Qualifications:
Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Experience with hardware architecture, compute technologies and/or storage systems
Preferred Qualifications
Intent to return to degree-program after the completion of the internship/co-op.
Track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as MICRO, ISCA, HPCA, ASPLOS, ATC, SOSP, OSDI, MLSys or similar.
For more details to apply, Click here!
ASIC Engineer Intern, Infra Silicon Enablement
Job Responsibilities
Work across all aspects of silicon lifecycle to deliver reliable and performant silicon solutions – from early architecture and design inputs, pre-silicon validation, bring-up and post-silicon characterization and deployment in fleet
Create/develop validation and automation tool sets targeted at silicon validation and productization – inclusive of, but not limited to silicon diagnostics, performance analysis, debug tools, bare metal and full stack systems, from early labs to data center deployments
Understand production system use cases to improve validation
Provide feedback into next generation architecture and design with insights from the production fleet
Root-cause, resolve and remediate issues with silicon across the product lifecycle
Minimum Qualifications
Currently has, or is in the process of obtaining, a Bachelor’s degree in Electrical Engineering,
Computer Engineering or related engineering fields
Completed Coursework in Computer architecture and/or Electrical engineering
Experience with troubleshooting, debug and analytics for Silicon products
Experience in Linux, Python, C/C++ and/or similar languages (data structures, algorithms, and OOP)
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
For more details to apply, Click here!
Data Scientist Intern, Product Analytics
Job Responsibilities
Perform large-scale data analysis to extract useful business insights.
Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
Work closely with a Product Manager and Engineering team to proactively create rules and manage decisions.
Classify leads so that the teams work on the most valuable cases.
Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users
Minimum Qualifications
Currently is in the process of obtaining a Bachelor’s and/or Master’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
Curious, self-driven, analytical and excited to play with data.
Ability to thrive in a fast paced work environment.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
Intent to return to a degree-program after the completion of the internship.
For more details to apply, Click here!
Hardware Systems Engineer Intern
Job Responsibilities
Interface with hardware, mechanical, power, thermal and software engineers to understand system architecture. Hands-on system level debug including silicon, PCB Board, Firmware and Operating systems.
Drive hardware optimizations by creating hardware, thermal, and mechanical test plans for server hardware.
Create and execute system level tests while keeping a thorough procedural record and data logs.
Create automated test infrastructure through the use of scripting languages and remotely controlled test equipment.
Develop and publish test plans and reports and communicate findings to team members
Diagnose and root cause hardware and system failures with the help of data analytical tools.
Minimum Qualifications
Currently has, or is in the process of obtaining, a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
Coding experience with Python, Ruby, C++, Java, or PHP
Knowledge of Linux/Unix environments
Troubleshooting and analytical skills
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
Experience in hacking, prototyping and/or overclocking or related work
Experience with latest server and CPU architecture and system-level components
Intent to return to degree-program after the completion of the internship/co-op