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Hardware Systems Engineer, NPI AI

Meta

Hardware Systems Engineer, NPI AI

Meta

Menlo Park, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$173,000 - $173,000

Benefits & Perks

Equity

Bonus

Equity

Required Skills

Hardware engineering

System validation

Troubleshooting

Test development

Hardware Systems Engineers in RTP work closely with Hardware/Software co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers. Ramping to production and solving the datacenter scaling and deployment challenges requires us to take a systems based approach to the new product introduction (NPI) phase.

Hardware Systems Engineer, NPI AI Responsibilities:

  • Drive and execute end-to-end system validation strategy (hardware and software), with a focus on various AI/HPC hardware systems in datacenter applications
  • Lead the bring-up, validation, and deployment of cutting-edge hardware systems in large scale deployment with active hands-on participations
  • Explore new use cases with customer teams and identify related test methodologies/test cases accordingly
  • Investigate and troubleshoot complex failures potentially related to Hardware systems with cross-function teams, which may involve different stacks like silicon, firmware, software, etc
  • Triage failures and continue rootcausing while driving project development work forward
  • Identify gaps and opportunities to improve test process and test methodologies across the NPI space
  • Guide automation efforts and data analysis for NPI projects through engagement with related cross-function teams
  • Communicate project progress and assessments to related internal and external teams

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in hands-on SW, FW or HW engineering to build any of the following products (AI Silicon, GPUs, TPUs, Autonomous cars, AI servers)
  • Experience in one or more domains such as: ASIC development (Silicon design, bringup, characterization, validation), board level debug, firmware validation, system validation
  • Experience with leading Silicon or System troubleshooting and debugging
  • Experience in developing test specifications, procedures, and debug guides for test solutions

Preferred Qualifications:

  • Proficiency in High-Performance Computing (HPC) or AI system architecture at rack level and at scale
  • 5+ years of experience with one or more of the following modules/domains: PCIe, NVlink, Networking, Flash, Memory, CPU, GPU, TPU, DRAM (DDR4/5 or HBM), AI silicon/AI accelerators
  • Hands-on experience in software, firmware, and hardware engineering to develop systems/products for datacenter applications such as video processing, AI/ML, and networking
  • Experience with definition of HW/SW interface requirements for Telemetry, Diagnostics, Debugging
  • Proficiency in Linux environment and server system management
  • Experience with debugging tools for So Cs (e.g., JTAG, GDB, Trace32) and knowledge of common bus protocols such as I2C, SPI, USB, and PCIe
  • Experience in using continuous integration and version control tools for system development and testing
  • Experience integrating lab tools for automated workflows and managing large-scale deployments

About 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 Whats App 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 accommodations-ext@meta.com.

$173,000/year to $245,000/year + bonus + equity + benefits

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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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding