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Ai Infra Jobs (NOW HIRING)

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 ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You'll rotate across inference, training, kernels, compilers, and cluster ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. The role involves rotating across various domains such as inference and training, working ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You'll rotate across inference, training, kernels, compilers, and cluster ...

Oracle

Senior Software Developer - AI Infra Compute

Austin, TX · On-site

$54 - $71.25/hr

OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

The role involves rotating across various aspects of AI infrastructure, working on real production systems, and contributing to significant projects alongside senior engineers. Responsibilities : • ...

Yutori

AI Engineer - LLM Infra

San Francisco, CA · On-site

$126K - $166K/yr

Yutori is reimagining how people interact with the web by building AI agents that can reliably do ... Scale infra for post-training of multimodal LLMs (CPT, SFT, RL, search, reward models) * Scale ...

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How much do ai infra jobs pay per year?

As of Aug 12, 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.
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Infographic showing various Ai Infra job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $88,722 per year, or $42.7 per hour.

Member of Technical Staff (Software Engineer, Storage Platform)

Perplexity

New York, NY • On-site

$220K - $405K/yr

Full-time

Re-posted 9 days ago

Job description

About the Role
The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload.
This foundational, high-impact group is responsible for the full spectrum of storage technologies - relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale.
By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible.
Key Responsibilities
  • Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases.
  • Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long‑term fixes for storage‑related incidents.
  • Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale.
  • Partner with AI, infra, and product teams to design data models and access patterns that meet low‑latency, high‑throughput, and cost‑efficiency requirements.
  • Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations.

Qualifications
  • 5+ years of experience building and operating large‑scale backend or infrastructure systems in production.
  • Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services.
  • Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads.
  • Proven track record of owning services end‑to‑end, including design, implementation, deployment, and on‑call.
  • Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python).
  • Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams.

If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Apply