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Faang Jobs (NOW HIRING)

Avantos

Full Stack Engineer, AI Team

Saint Louis, MO · Remote

Company overview We're startup junkies, former founders, and x-FAANG engineers, and we're building an AI-notetaker + task management system for financial advisors. We're an early startup, but we're ...

Satori Digital

Full Stack Engineer

San Francisco, CA · On-site

$175K - $220K/yr

Either as one of three profiles: a) joined early and seen scale over 3-5+ years, b) founding engineer at multiple places, or c) 5+ years at a FAANG Compensation $175K - $220K range Equity; 0.25% - 1% ...

Avantos

Full Stack Engineer, AI Team

Saint Louis, MO · On-site +1

Company overview We're startup junkies, former founders, and x-FAANG engineers, and we're building an AI-notetaker + task management system for financial advisors. We're an early startup, but we're ...

Clera

Founding Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Experience at a FAANG-scale organization and/or an early-stage startup (a mix of both is ideal) * Prior experience shipping products in a 0-to-1 context Compensation & Benefits * Salary: $200,000 ...

Skyhigh Networks

Principal Engineer - AI/ML

Frisco, TX · Hybrid

We highly value experience gained at FAANG or other leading Big Tech companies. This is a Hybrid Position located in one of our hub offices of Frisco, TX, San Jose, CA, Newport Beach, CA, New York ...

New

Clera

Founding Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Experience at a FAANG-scale organization and/or an early-stage startup (a mix of both is ideal) * Prior experience shipping products in a 0-to-1 context Compensation & Benefits * Salary: $200,000 ...

Meticulous

GTM Operator

San Francisco, CA · On-site

$60 - $120/hr

You have been in rooms with decision makers at MBB / Tier 1 bank / FAANG and are now eager to actually execute * Growth / Generalist problem solver: You are currently a founder's associate or work ...

Meticulous

GTM Operator

San Francisco, CA · On-site

You have been in rooms with decision makers at MBB / Tier 1 bank / FAANG and are now eager to actually execute * Growth / Generalist problem solver: You are currently a founder's associate or work ...

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Faang information

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How much do faang jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for faang in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are typical career advancement opportunities at FAANG companies?

FAANG companies offer well-defined paths for career growth, with many opportunities to move from entry-level engineering or analyst roles to senior, lead, or management positions. High performers can pursue technical leadership tracks, such as Staff or Principal Engineer, or shift into product management, data science, or people management roles. These companies often encourage internal mobility, enabling employees to work across different teams, projects, or even global offices. Ongoing learning and innovation are prioritized, giving employees access to mentorship programs, technical training, and resources to support professional development. This dynamic environment makes FAANG companies appealing for those seeking both upward and lateral career advancement.

What are the key skills and qualifications needed to thrive in the Faang position, and why are they important?

To thrive in a FAANG position (at Facebook, Apple, Amazon, Netflix, or Google), you generally need strong technical expertise in software engineering, computer science, or data analysis, usually supported by a relevant degree and a solid portfolio or previous experience. Familiarity with major programming languages (such as Python, Java, or C++), cloud platforms, distributed systems, and sometimes recognized tech certifications are valuable assets. Standout candidates bring exceptional problem-solving ability, collaboration, adaptability, and strong verbal and written communication skills. These skills are vital due to the fast-paced, highly innovative, and collaborative environments that FAANG companies are known for.

What is a FAANG job?

A FAANG job refers to a role at one of the five major technology companies: Facebook (now Meta), Apple, Amazon, Netflix, and Google. These companies are known for their competitive salaries, strong benefits, and challenging technical interviews. FAANG jobs are highly sought after due to opportunities for career growth, innovative work environments, and prestige within the tech industry.

More about Faang jobs
What cities are hiring for Faang jobs? Cities with the most Faang job openings:
What are the most commonly searched types of Faang jobs? The most popular types of Faang jobs are:
What states have the most Faang jobs? States with the most job openings for Faang jobs include:
What job categories do people searching Faang jobs look for? The top searched job categories for Faang jobs are:
Faang jobs near you
Infographic showing various Faang job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Software Engineer, ML Inference, Simulation Infrastructure

Software Engineer, ML Inference, Simulation Infrastructure

Waymo

San Diego, CA • Hybrid

Other

Posted 17 days ago

Job description

The Simulation Infrastructure team creates reliable, scalable, and cost-effective Simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. We solve complex technical challenges to build services and tools for a broad range of customers Software Engineers, Product, Data Science, System Engineering, and more. So if you want to build the next generation of Simulation products and infrastructure, we'd love to hear from you!

In this hybrid role you will report to the Software Engineering Manager.

You will:

  • Build and evolve ML inference infrastructure for simulations.
  • Be responsible for the reliability, latency, and user experience of ML model deployment and serving.

You have:

  • B.Sc. in Computer Science, or a related field, or equivalent years of experience
  • 3+ years of experience C++ and/or Golang programming experience
  • Experience in developing and maintaining distributed systems.

We prefer:

  • Experience working with large-scale distributed inference service.
  • Experience working with popular ML frameworks, TPUs and optimizing models for serving.
  • Experience with distributed systems principles, including scheduling, load balancing, and fault tolerance.
  • Experience working with large FAANG scale distributed systems.

#LI-Hybrid

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