226 ai infrastructure engineer jobs at 76 companies in Kenmore, WA
2mo
Save
Mark Applied
Hide
2mo
AI Infrastructure Engineer
Seattle, Washington, United States
$152k-$332k/yrOnsiteFull Time
ZoomNasdaq Global Select Market: ZM: American publicly traded communications platform serving businesses and individuals with AI-assisted video, voice, chat, and phone services.
5+ YOEBachelor's in CS/Engineering/AI, 5+ years software engineering experience in infrastructure and distributed systems, GPU/CUDA expertise, container and cloud experience, Python/C++ programming, PyTorch and Transformers experience.
Woodbridge or New York City or Atlanta or Boston or Chicago or Dallas or Delaware or Denver or Garden City or Cayman Islands or Greenwich or Houston or Los Angeles or Miami or Naples or Nevada or Palm Beach or San Diego or San Francisco or Seattle or Stuart or Washington
$160k-$200k/yrHybridFull Time
Bessemer Investors: Privately owned family office providing investment management, wealth planning, and family-office services to high-net-worth individuals and families.
7+ YOE7+ years in DevOps/platform/cloud infrastructure engineering; strong AWS (IAM, CloudFormation, Lambda, API Gateway, VPC, CloudWatch, SSM, Secrets Manager, ECR); AWS CDK/CloudFormation/Terraform; CI/CD (Bitbucket/GitHub Actions, OIDC); container and datastore operations; security fundamentals.
Scale AI: Develops data and infrastructure for AI systems.
4+ YOE4+ years building high-performance systems software; deep Linux internals, containerization/virtualization, systems programming (Go/Rust/C/C++); strong debugging and API/SDK design skills.
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irvine or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$80k-$266k/yrHybridFull Time
AccentureNYSE: ACN: Global professional services delivering 360° value.
5+ YOERequires 5+ years designing AI infrastructure, accelerated computing, clusters, orchestration, and automation; bachelor's degree or equivalent experience. Strong Kubernetes, Python, Terraform, and cloud expertise required.
New York City or Seattle or San Francisco or London
$140k-$274k/yrHybridFull Time
Writer: Enterprise generative AI platform that helps businesses build and supervise secure AI agents.
5+ YOE5+ years infrastructure/DevOps experience, production Kubernetes, Helm, Terraform/Pulumi, major cloud (AWS preferred), Python or Go, observability stacks (Prometheus, Grafana, ELK), and daily AI-assisted workflows.
JPMorgan ChaseNYSE: JPM: Global financial services and investment banking firm.
5+ YOE5+ years infrastructure engineering experience, formal training/certification, deep cloud and network knowledge, scripting and automation experience, familiarity with security/segmentation and AI-assisted engineering, strong problem-solving and mentoring skills.
Cisco, Juniper, Arista, Juniper Mist, Cisco/Viptela, Fortinet, BGP, OSPF, MPLS, EVPN/VXLAN, SD-WAN, Wi Fi 6E, Wi Fi 7, 5G, Palo Alto, Zscaler, IPsec, TLS, ZTNA, Python, Ansible, Terraform, Git, GitHub Actions, Jenkins, ThousandEyes, Splunk, Grafana, Wireshark
Anduril Industries: Defense technology developing AI-powered autonomous military systems.
7+ YOERequires 7+ years building production-scale ML systems, proficiency in Python, Go, or C++, distributed systems expertise, Docker/Kubernetes, distributed training, data pipelines, technical leadership, and Top Secret clearance eligibility.
Senior AI Infrastructure Software Engineer - DGX Cloud
Santa Clara or Redmond or Seattle or United States
$184k-$357k/yrRemoteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOE8+ years developing software infrastructure for large-scale AI systems; bachelor's degree or higher in computer science or related field; distributed systems, debugging, AI workloads, Kubernetes, and observability experience.
Senior AI Infrastructure Software Engineer - DGX Cloud
Santa Clara or Redmond or Seattle or United States
$184k-$357k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOE8+ years building software infrastructure for large-scale AI systems; Bachelor's in Computer Science or equivalent; strong debugging and root-cause skills across app-to-hardware; experience with distributed systems, AI training/inference, Kubernetes, observability, Python and C/C++.
Senior AI Infrastructure Software Engineer - DGX Cloud
Santa Clara or Redmond or Seattle
$184k-$357k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOE8+ years in software infrastructure for large-scale AI systems; BS in CS or related field; strong debugging; distributed systems; Kubernetes and observability; Python, C/C++; good communication.
San Francisco or Paris or Seattle or Madrid or London or Berlin or New York City or Sydney or Mexico City
$150k-$200k/yrOnsiteFull Time
Aircall: Aircall is a private B2B SaaS providing AI-powered cloud communications software for business sales and support teams.
4+ YOERequires 4+ years in data engineering or infrastructure, strong Python and SQL, Airflow-scale operations, Spark, AWS, Terraform, Kubernetes, Docker, CI/CD, GitOps, reliability ownership, and AI coding tool experience.
Senior Director, Agentic AI Infrastructure Engineering
Seattle, Washington, United States
$262k-$327k/yrHybridFull Time
DigitalOceanNYSE: DOCN: The AI-Native Cloud purpose-built for inference and agentic workloads.
Executive engineering leader with deep cloud infrastructure expertise, experience building and operating production distributed systems, knowledge of agentic AI runtime needs, and proven ability to lead large distributed teams and deliver revenue-driving products.
Open Harness Runtime, Action Toolbox, Coding Execution Runtime, ARM, MicroVMs
GE HealthCareNasdaq: GEHC: Global medical technology and digital solutions innovator.
3+ YOEDesign, build, and deploy production-grade AI solutions using LLMs and foundation models; strong ML, software engineering, and AI infrastructure experience required.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Experience in AI research and engineering to optimize, interpret, and develop algorithms for on-device and server-based foundation models and intelligence features.
ByteDance: Global technology specializing in AI-powered content platforms.
Currently pursuing a Bachelor's or Master's in Computer Science or related discipline; available for a 12-week Summer 2027 internship; coding experience in Go, C++, Python, Java, or C# required.
Global Lab Infrastructure Design Engineer, Microsoft Lab Services
Redmond, Washington, United States
$120k-$235k/yrHybridFull Time
MicrosoftNASDAQ: MSFT: Multinational technology providing software, cloud, and AI solutions.
3+ YOEBachelor's degree or equivalent experience, 3+ years of technical experience, and 3+ years evaluating infrastructure requirements for laboratories, data centers, or technology-intensive facilities; security screening and travel up to 25% required.
Microsoft Cloud Background Check, artificial intelligence, analytics, scripting, automation, local area networks, wide area networks, keyboard-video-mouse systems
TikTok USDS Joint Venture LLC: Ensuring U.S. data security and content integrity for TikTok.
1+ YOEBachelor's degree or equivalent practical experience; 1+ year SRE, DevOps, or systems engineering experience; Linux, networking, distributed systems, programming, Bash, CI/CD, and automation skills.
F5NASDAQ: FFIV: Delivering and securing applications across any multi-cloud environment.
Proficiency in Python, C++, Rust, or Golang; experience with inference tools and cloud infrastructure; expertise in GPU and AI hardware optimization; scalable AI serving and monitoring experience.
vLLM, TGI (Text Generation Inference), NVIDIA Triton, NVIDIA GPUs, CUDA, TensorRT, Apple Silicon, CoreML, TPUs, LPUs, Kubernetes, Python, C++, Rust, Golang, Llama.cpp, Ollama, Docker, AWS, GCP, Azure, Speculative Decoding, PagedAttention, Triton kernels, MLOps, SRE, Time to First Token (TTFT), SLAs