100 ml infrastructure engineer jobs at 26 companies in Patterson, CA
🚀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.
MaxInsights: Provides robot data collection for physical AI development.
Experience building production ML training and deployment systems, strong software engineering and infra fundamentals, PyTorch experience, HPC/GPU knowledge, and strong communication and product sense.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
5+ YOE5+ years in DevOps/platform/infrastructure engineering; deep Kubernetes experience; experience building developer-facing platforms, Helm and GitOps workflows, storage/networking for GPU workloads; Terraform, monitoring, and ML framework exposure preferred.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years building scalable cloud infrastructure from concept to production; background in AI/ML or data analytics; strong OOP skills in Java or Go/Golang; experience with Kubernetes and distributed systems; Bachelor's or equivalent.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
20+ YOEMS/PhD in CS/EE or equivalent experience, 20+ years industry experience, deep expertise in communication systems, RAN algorithms, AI/ML for RAN, and programming in Python, C/C++, Matlab.
8+ YOEBachelor's degree or equivalent experience; 8 years C++ programming; 5 years testing/launching software; 5 years building large-scale infrastructure or storage/compute; 3 years software design/architecture.
TikTok: Global short-form video hosting and social media platform.
3+ YOE3+ years building scalable ML systems, strong CS fundamentals, coding skills, experience with causal inference/uplift/deep learning, project management and communication skills.
Astera LabsNASDAQ: ALAB: Designs connectivity solutions for cloud and AI infrastructure.
1+ YOE1–5 years software/ML infrastructure experience, strong Python, experience with AWS or GCP and production service ownership, familiarity with inference deployments, observability, telemetry, and incident response.
Altera: Manufacturer of field-programmable gate arrays and programmable logic devices.
10+ YOEBachelor's degree, 10+ years ML engineering/MLOps experience, strong Python, cloud ML platforms (AWS/GCP/Azure), Docker/Kubernetes, CI/CD, ML frameworks (PyTorch/TensorFlow/JAX), experience with MLflow/W&B and HPC schedulers.
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
5+ YOEBachelor's/Master's in CS or related,5+ years software engineering,3+ years ML infrastructure,expertise in Python/C++/Java,PyTorch/Tensorflow,Kubernetes,Slurm,CUDA and GPU cluster management.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
Build and scale data infrastructure for data engineering/ML; Kubernetes, Trino, Ray, MLflow; on-call; Go or Python; BS in CS/Engineering or equivalent.
Tech Lead Software Engineer - AI Compute Infrastructure
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
5+ YOE5+ years experience building cloud/ML infrastructure, strong knowledge of large-model inference, distributed systems, scheduling, and container orchestration; proficiency in Go/Rust/Python/C++.
Nex: Gaming system that turns body movement into interactive play.
3+ YOE3+ years building production ML systems or training infrastructure; proficiency in Python and one systems language (C++, C#, Java, Rust, or Go); experience with PyTorch or TensorFlow; building training pipelines, data workflows, and model deployment.
Circuit Check: Designs and manufactures automated electronic test systems and fixtures.
10+ YOE10+ years in strategic account management or business development for AI/ML infrastructure; engineering degree; executive-level engagement experience.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
3+ YOE3+ years in software engineering, backend infrastructure, data systems, ML infrastructure; distributed systems; APIs/data pipelines; Python/Java/C/C++/Go; cloud; ML systems familiarity.
Python, Java, C++, Go, Kafka, Spark, Flink, distributed data frameworks
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
8+ YOEPhD in EE/Physics/Optical Engineering with 8+ years industry experience in silicon photonics system architecture, leadership of complex programs, system-level modeling, and expertise in optical interconnects and AI/ML infrastructure requirements.
9+ YOEBS/MS/PhD in Computer Science or related field; 9+ years software engineering; leadership in large-scale initiatives; experience with cloud platforms, security, CI/CD, and AI/ML