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Ai Infra Jobs (NOW HIRING)

Oracle

Senior Software Engineer AI Infra

Austin, TX · On-site

$107K - $146K/yr

And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions ...

Oracle

Senior Software Engineer AI Infra

Austin, TX · On-site

$107K - $146K/yr

And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions ...

Spiral

Software Engineer - Systems

New York, NY · On-site

$200K - $275K/yr

Our users are AI/ML researchers and AI infra engineers developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images. They spend ...

Spiral

Software Engineer - Systems

New York, NY · On-site

$189K - $224K/yr

Our users are AI/ML researchers and AI infra engineers developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images. They spend ...

Spiral

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

Our users are AI/ML researchers and AI infra engineers developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images. They spend ...

Oracle

Senior Software Engineer AI Infra

Austin, TX · On-site

$107K - $146K/yr

The Compute team is responsible for delivering bare-metal provisioning infrastructure that powers millions of servers and forms the foundation of OCI's rapidly expanding AI infrastructure. The ...

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$88.7K

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How much do ai infra jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai infra in the United States is $88,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, deploying, and maintaining the hardware and software systems that support artificial intelligence applications. These roles often require knowledge of cloud platforms, networking, data storage, and machine learning frameworks, and may include positions such as AI infrastructure engineer or systems architect.

Which AI Infra job is highly paid?

In AI infrastructure, roles such as AI Infrastructure Engineer and Machine Learning Infrastructure Engineer tend to be highly paid due to their specialized skills in deploying and maintaining large-scale AI systems, often requiring expertise in cloud platforms, distributed systems, and automation tools. Senior positions or those with advanced certifications typically command higher salaries in this field.
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Ai Infra jobs near you
Infographic showing various Ai Infra job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $88,722 per year, or $42.7 per hour.

Software Engineering Manager - Neural Interface ML Infra

Meta

Redmond, WA • On-site

$184K/yr

Full-time

Posted 16 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Lead a team at the intersection of AI, distributed systems, and hardware architecture. The role drives ML model efficiency and scalability, infrastructure costs, and enables embedded AI capabilities. Directly supporting Meta's ability to train and serve AI models for wearable products.
Software Engineering Manager - Neural Interface ML Infra Responsibilities:
  • People Leadership: Build/retain an engineering team
  • provide coaching, mentorship, and performance management
  • Technical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs
  • define technical vision with Tech Leads
  • Execution: Drive complex hardware-software co-design projects to completion
  • manage roadmaps, timelines, and risk mitigation
  • Cross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research
  • represent the team to leadership

Minimum Qualifications:
  • 3+ years managing software engineering teams with a track record of delivering measurable outcomes
  • Technical background in at least two of: AI/ML systems, distributed/HPC systems, software tooling and infrastructure or model optimization with GPUs/accelerators
  • Demonstrated ability to engage deep in technical work and guide decisions
  • Proven track record growing engineers
  • Experience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentations

Preferred Qualifications:
  • M.S. or Ph.D. in CS, EE, or related field
  • Prior Tech Lead, TLM, or IC experience before management
  • Experience building teams in ambiguous, exploratory domains
  • Track record of maintaining team engagement, retention, and consistent delivery outcomes
  • Experience managing AI infrastructure and capacity including GPU/CPU used for training, benchmarking and inference
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with PyTorch, TensorFlow, or equivalent AI frameworks
  • Familiarity with AI compilers, high-performance kernel development, or hardware enablement
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Background in performance optimization/profiling
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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 WhatsApp 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.
$184,000/year to $257,000/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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