754 Network Engineer jobs in Fremont,CA

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related field and 6+ years of Software Engineering or related work experience.

U.S. Navy

Newark, CA 94560

Saratech

San Francisco, CA 94102

Super Micro Computer

San Jose, CA 95112

BS/MS Manufacturing/Industrial Engineering preferred, 8+ years relevant work experience with storage component and system, server and hard drives industry preferred
Hands-on with PLC programming (Ladder Logic, Structured Text)
Experience with SCADA/HMI platforms (e.g., Wonderware, Ignition)
Familiarity with robotics, sensors, VFDs, and servo systems
Strong understanding of electrical controls, instrumentation, and pneumatics
Knowledge of network protocols (Modbus, OPC UA, Ethernet/IP)
Knowledge of Tools/Technologies: PLCs, SCADA, HMI, LabVIEW, Python, RSLogix, Ignition, OPC UA, PID control

Confidential

San Francisco, CA 94103

Over 10 years of data experience
At least 3 years in senior leadership within high-growth fintech or regulated financial services
Proven expertise in building and scaling enterprise data ecosystems
Strong leadership and communication skills
Technical proficiency in cloud warehouses, modeling, ETL, orchestration, and business intelligence is required
Strong SQL
Familiarity with Python
Experience with AWS data services
Infrastructure as code is essential
Must have ability to oversee data governance, cataloging, lineage, metadata, access controls, and auditability
Must be able to build semantic layers, unified source of truth datasets, and experimentation frameworks
Must be able to develop modern data architecture with real-time pipelines, event streaming, warehousing, and orchestration for analytics and machine learning
Must be able to lead analytics and data science, including business intelligence, self-service analytics, dashboarding, reporting, and risk scoring
Experience in regulated financial services (fintech or similar) is required

Imagry

San Jose, CA 95192

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university
Ph.D. – Advantage
A proven track record of at least 3 years hands-on experience in developing deep learning algorithms
Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
In-depth, hands-on knowledge of deep learning fundamentals
Hands-on experience with deep learning frameworks such as PyTorch
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
Proficiency in Python programming
Experience in conducting long-term development and/or research projects, in either academia or industry
Proficiency in English, both written and spoken
Eligible to work in the US

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UVEye

San Francisco, CA 94151

3+ years of experience in Tier II support, systems administration, or QA engineering
Bachelor's degree in Computer Science or a related field
Proficiency with Linux, Docker, and Kubernetes
Strong troubleshooting skills across hardware and software domains
Hands-on experience with hardware setup, installation, and calibration
Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
Experience with cloud platforms like AWS, Azure, or GCP
Familiarity with networking equipment (switches, routers, firewalls, load balancers)
Comfortable using tools like Zendesk, JIRA, and Confluence
Able to work independently and manage multiple priorities under pressure
Ability and willingness to work on second shift - hours 2:00 pm - 10:00 pm PST
This role may involve on-site or field-based activities
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.