Senior Infrastructure Architect Jobs in Sunnyvale, CA
Senior Infrastructure Architect jobs in Sunnyvale, California are available now at employers like Google, Apple, and CrowdStrike and other local employers, from entry level to senior. Find a role that fits below and apply directly.
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Showing 5 of 96+ Senior Infrastructure Architect jobs
INTRODUCTION
We are seeking a highly experienced Data Scientist / Computer Vision Engineer to join an innovative AI team building large-scale computer vision solutions for enterprise applications.
The ideal candidate will have deep expertise in NVIDIA DeepStream, GPU optimization, distributed computing, and production-grade computer vision systems. This is a highly technical role requiring hands-on experience developing scalable, high-performance AI applications.
Responsibilities
- Design, develop, and optimize computer vision solutions for real-world production environments
- Build scalable AI inference pipelines using NVIDIA DeepStream
- Optimize GPU performance for high-throughput, low-latency computer vision workloads
- Develop and deploy distributed computer vision applications across large-scale infrastructure
- Design and implement microservices supporting AI and computer vision platforms
- Collaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions
- Improve system performance, scalability, and reliability across GPU-accelerated environments
- Troubleshoot performance bottlenecks and optimize inference pipelines
REQUIRED QUALIFICATIONS
- Strong experience with Computer Vision technologies and production deployments
- Hands-on experience with NVIDIA DeepStream (Required)
- Strong understanding of GPU optimization and performance tuning
- Experience building microservices architecture
- Experience with distributed computing systems
- Strong programming skills in Python and/or C++
- Experience deploying scalable AI applications in production
- Excellent problem-solving and performance optimization skills
PREFERRED QUALIFICATIONS
- Experience with NVIDIA CUDA or TensorRT
- Experience with OpenCV, GStreamer, or NVIDIA SDKs
- Familiarity with Kubernetes and Docker
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience deploying machine learning or deep learning models in production
- Knowledge of real-time streaming and edge AI solutions
REQUIRED SKILLS (MUST HAVE)
NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing
INTRODUCTION
We are seeking a highly experienced Data Scientist / Computer Vision Engineer to join an innovative AI team building large-scale computer vision solutions for enterprise applications.
The ideal candidate will have deep expertise in NVIDIA DeepStream, GPU optimization, distributed computing, and production-grade computer vision systems. This is a highly technical role requiring hands-on experience developing scalable, high-performance AI applications.
Responsibilities
- Design, develop, and optimize computer vision solutions for real-world production environments
- Build scalable AI inference pipelines using NVIDIA DeepStream
- Optimize GPU performance for high-throughput, low-latency computer vision workloads
- Develop and deploy distributed computer vision applications across large-scale infrastructure
- Design and implement microservices supporting AI and computer vision platforms
- Collaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions
- Improve system performance, scalability, and reliability across GPU-accelerated environments
- Troubleshoot performance bottlenecks and optimize inference pipelines
REQUIRED QUALIFICATIONS
- Strong experience with Computer Vision technologies and production deployments
- Hands-on experience with NVIDIA DeepStream (Required)
- Strong understanding of GPU optimization and performance tuning
- Experience building microservices architecture
- Experience with distributed computing systems
- Strong programming skills in Python and/or C++
- Experience deploying scalable AI applications in production
- Excellent problem-solving and performance optimization skills
PREFERRED QUALIFICATIONS
- Experience with NVIDIA CUDA or TensorRT
- Experience with OpenCV, GStreamer, or NVIDIA SDKs
- Familiarity with Kubernetes and Docker
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience deploying machine learning or deep learning models in production
- Knowledge of real-time streaming and edge AI solutions
REQUIRED SKILLS (MUST HAVE)
NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing
See All 96 Senior Infrastructure Architect Jobs in Sunnyvale
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Find JobsSenior Infrastructure Architect Job Market in Sunnyvale
Who's Hiring
- Google69
- Apple12
- CrowdStrike4
- CRUSOE3
- Glint Tech Solutions2
Top Industries Hiring
- Technology & Software83
- Artificial Intelligence69
- Electronics & Hardware11
- Retail2
- Banking & Financial Services1
Senior Infrastructure Architect Jobs in Sunnyvale: Frequently Asked Questions
How many senior infrastructure architect jobs are there in Sunnyvale?
There are 96+ senior infrastructure architect openings in Sunnyvale, California on Migrate Mate as of June 2026. New positions post regularly as Sunnyvale employers hire.
Which companies hire senior infrastructure architects in Sunnyvale?
Companies currently hiring senior infrastructure architects in Sunnyvale include Google, Apple, and CrowdStrike, per current listings on Migrate Mate as of June 2026.
Are there remote senior infrastructure architect jobs in Sunnyvale?
Yes. About 6% of senior infrastructure architect openings tied to Sunnyvale are remote or hybrid as of June 2026. The rest are on-site roles based in and around Sunnyvale.
Which industries hire the most senior infrastructure architects in Sunnyvale?
The sectors hiring the most senior infrastructure architects in Sunnyvale are Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of June 2026.
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