Data Infrastructure Engineer Jobs in Sunnyvale, CA
Data Infrastructure Engineer jobs in Sunnyvale, California are open across the metro, with employers like Apple, Google, and 42dot hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 23+ Data Infrastructure Engineer 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 23 Data Infrastructure Engineer Jobs in Sunnyvale
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Find JobsData Infrastructure Engineer Job Market in Sunnyvale
Who's Hiring
- Apple10
- Google8
- 42dot1
- Walmart1
- Amazon1
Top Industries Hiring
- Technology & Software12
- Electronics & Hardware9
- Artificial Intelligence8
- Retail2
- Banking & Financial Services1
Data Infrastructure Engineer Jobs in Sunnyvale: Frequently Asked Questions
How many data infrastructure engineer jobs are there in Sunnyvale?
There are 23+ data infrastructure engineer openings in Sunnyvale, California on Migrate Mate as of June 2026. New positions post regularly as Sunnyvale employers hire.
Which companies hire data infrastructure engineers in Sunnyvale?
Employers hiring data infrastructure engineers in Sunnyvale include Apple, Google, and 42dot, based on current listings on Migrate Mate as of June 2026.
Are there remote data infrastructure engineer jobs in Sunnyvale?
Yes. About 17% of data infrastructure engineer 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 data infrastructure engineers in Sunnyvale?
Sunnyvale data infrastructure engineer roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of June 2026.
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