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ASIC Architecture, Kernel Development

Meta

ASIC Architecture, Kernel Development

Meta

Austin, TX

·

On-site

·

Full-time

·

1mo ago

Compensation

$146,000 - $146,000

Benefits & Perks

Parental leave

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Flexible work arrangements

Parental Leave

Equity

Healthcare

Flexible Hours

Required Skills

TypeScript

PostgreSQL

React

Meta is seeking an ASIC Engineer, Architecture to join our Infrastructure organization. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. By holding this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You will have an opportunity to work with AI/ML and video codec experts in the company, help architect state-of-the art machine learning accelerators and contribute to modeling these accelerators. Come work and learn alongside our engineers to build "Green" data center accelerators.

ASIC Architecture, Kernel Development Responsibilities:

  • Work on developing Data Center Machine Learning ASIC architecture, algorithms, models, or tools
  • Analyze and map data center workloads to ASIC architecture, as well as develop performance and functional models to validate the architecture
  • Implement various reference silicon architecture models needed for the validation of the accelerators

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ experience in either silicon architecture, silicon modeling, performance architecture, kernel development, or building tools for silicon
  • Programming in C, C++, Python, or related Programming Languages
  • Experience and knowledge of Computer Architecture, or tools for silicon development
  • Experience and knowledge working in building custom silicon

Preferred Qualifications:

  • Master's or PhD degree in Electrical Engineering, Computer Engineering or related areas Experience driving power and performance trade-offs
  • Experience in developing and optimizing compute or collective kernels using CUDA or similar programming languages
  • Understanding of GPU architectures or other AI accelerator architectures
  • Experience in pre-silicon validation processes
  • Experience with runtime development, API design, device driver development, and library implementation

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.

$146,000/year to $209,000/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