169 ai infrastructure engineer jobs at 57 companies in Bothell, WA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
ZoomNasdaq: ZM: Provides a cloud-based platform for video, voice, and collaboration.
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 Trust: Wealth management and family office services for affluent clients.
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.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
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
Astreya: Provides managed IT services and digital workplace solutions for enterprises.
Lead and manage DC infrastructure engineering teams; design and deliver data center infrastructure solutions; ensure project execution, governance, and security.
Allen Institute for Artificial Intelligence: Non-profit institute developing open-source artificial intelligence for scientific impact.
12+ YOE2+ Mgmt12+ years infrastructure/HPC experience, 2+ years supervising engineering teams, Bachelor's in a related field, hands-on GPU/HPC, orchestration, storage, Go or Python proficiency.
Senior Director, Agentic AI Infrastructure Engineering
Seattle, Washington, United States
$262k-$327k/yrHybridFull Time
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
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
Senior DGX Cloud AI Infrastructure Software Engineer
Santa Clara or Austin or Redmond or Washington or Oregon
$184k-$357k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years building software infrastructure for large-scale AI systems; BS in Computer Science or related (or equivalent experience); strong debugging/root-cause skills; experience with observability (ELK, Prometheus, Loki), distributed systems, AI training/inference infra; Python and C/C++.
ByteDance: Developing AI-driven content platforms and mobile applications.
2+ YOE2+ years building cloud/ML infrastructure; strong knowledge of large-model inference, distributed systems, scheduling, and container orchestration; proficiency in Go, Rust, Python, or C++; experience with Kubernetes and GPU orchestration.
5+ YOEBachelor's in CS or equivalent, 5+ years technical experience, 2+ years running AI/ML workloads on GPUs/TPUs with Kubernetes/GKE, 2+ years producing developer content; Python preferred.
Airwallex: Global financial platform for business payments and money management.
5+ YOE5+ years software engineering; backend in Python/Go/Java/Kotlin; experience building agentic AI; cloud and infra (AWS/GCP/Aliyun, Kubernetes, Terraform); strong system design; cross-functional collaboration.
Seattle or San Francisco or Detroit or United States
$180k-$279k/yrHybridFull Time
Rocket CompaniesNYSE: RKT: Provides digital mortgage, real estate, and personal finance services.
7+ YOE7+ years AWS/cloud infra; 5+ years PostgreSQL/AWS services; Linux admin/scripting; mentoring; infrastructure as code and security; AI code generation tools; on-call readiness.
AWS, PostgreSQL, Aurora/RDS, S3, ElastiCache, OpenSearch, DynamoDB, Linux, Python, Infrastructure as Code, Security practices, AI code generation tools
AI Inference Infrastructure Software Engineer (Kubernetes / Cloud)
Seattle, Washington, United States
HybridFull Time
ElastixAI: A software startup focused on AI inference infrastructure and high-performance cloud platforms.
3+ YOE3–5 years in Kubernetes and cloud deployments; BS in CS/Software Eng; strong Python/Bash/Go; experience with Terraform/Pulumi, Ansible/Puppet, GitOps; production ML/inference on Kubernetes.
Senior Software Engineer, DGX Cloud AI Infrastructure
Santa Clara or Austin or Redmond or Oregon or Washington
$184k-$357k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years building software infrastructure for large-scale AI/HPC, expertise debugging multi-GPU and multi-node workloads, NCCL/CUDA experience, expert Python and C/C++, and experience with containerized cluster environments.
Senior Software Engineer, Machine Learning Infrastructure - Generative AI
San Francisco or Sunnyvale or Seattle
$137k-$202k/yrOnsiteFull Time
DoorDashNASDAQ: DASH: On-demand delivery platform connecting consumers with local merchants.
6+ YOE6+ years software engineering experience; BS/MS/PhD in CS or equivalent; deep backend fundamentals in Python and distributed systems; experience with LLM inference/fine-tuning, production reliability, observability, and technical leadership.
San Francisco or Seattle or Austin or North America
$279k-$377k/yrHybridFull Time
Mixpanel: Provides an event-based analytics platform for tracking user behavior.
10+ YOE4+ Mgmt10+ years engineering experience; 4+ years leading engineering teams; experience with high-scale distributed systems and AI-powered products; strong technical judgment and demonstrated leadership managing engineers.
Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency
Seattle, Washington, United States
$148k-$301k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
2+ YOEBachelor's in CS or related,2+ years backend development,proficiency in Go/Java/Python,experience with distributed systems,databases/caching/messaging,LLM/AI integration experience,strong communication and ownership.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years in high-scale infrastructure or ML systems; BS in Computer Science or related field; strong Python and PyTorch; Kubernetes; cloud experience; GPU/ML infra focus.
Infoblox: Secures and automates core network services and cloud identity.
15+ YOE15+ years designing enterprise networking/cloud or AI platform architectures; deep expertise with GPU infrastructure, high-performance networking, cloud-native platforms, and influencing technical strategy.