Full-Time

Hardware Systems Engineer

Npi

Posted on 12/16/2024

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$132k - $191kAnnually

+ Bonus + Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 2 more

More locations: Menlo Park, CA, USA | Sunnyvale, CA, USA

In-office presence required for all locations.

Category
Hardware Engineering
Hardware Validation & Testing
System Hardware Engineering
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 5+ years of work experience in one or more domains such as: ASIC development (Silicon design or bringup or characterization), compute (ARM, x86), AI-ML hardware/software (GPUs, TPUs).
  • Knowledge of architecture and components on one of the following products: server/PC/Laptop.
  • Development or debug experience in one or more following areas: hardware fault management, error reporting, error handling on hardware products.
  • 7+ years of experience with one subset of the following AI systems: Accelerator (GPU/ASIC), Kernel development, Performance optimization (e.g., NVIDIA, AMD, Intel, or other misc accelerator), computer architecture, HPC communication libraries (e.g., NCCL, MPI), performance enablement, tracing, profiling and debugging.
  • Experience with architecture of disaggregated systems at scale.
  • Understanding of hardware development process and how to scope out test plans accordingly.
  • Experience troubleshooting problems at system level, crossing across multiple components, as well as hardware/firmware/software boundaries.
Responsibilities
  • Interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to guide and develop Hardware Fault Management for various server products.
  • Leverage deep understanding RAS (reliability, availability, serviceability) to improve error reporting and error handling mechanism for better operation quality and cost/efficiency.
  • Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement.
  • Develop visibility through data visualization and implement systemic solutions to hardware health issues.
  • Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
  • Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders.
  • Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously.

Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.

Company Stage

IPO

Total Funding

$2.1B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

0%

1 year growth

22%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Scheduled posts on Threads could boost user retention and engagement.
  • AI assistants promise personalized user experiences, increasing satisfaction across platforms.
  • 'Motivo' AI model may attract developers to create immersive Metaverse experiences.

What critics are saying

  • Decentralized platforms offering full content ownership may draw users away from Meta.
  • Ongoing legal challenges, like the €251 million fine, pose financial risks.
  • Privacy concerns from past scandals could lead to regulatory scrutiny and impact operations.

What makes Meta unique

  • Meta's 'Motivo' AI model enhances avatars with human-like movements in the Metaverse.
  • Partnership with Shazam integrates music recognition into Ray-Ban smart glasses.
  • AI-powered content creation tools reduce production time, attracting content creators.

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