- Search jobs
- Berkeley, CA
- computer networking
Computer networking Jobs in Berkeley, CA
Create a job alert for this search
Computer networking • berkeley ca
- Promoted
Head of Computer Vision
RainesDevSan Francisco, CA, USTechnical Solutions Architect - Networking
ZonesSan Francisco, CA, USComputer Systems Engineer 3
Lawrence Berkeley National LaboratoryBerkeley, CA, United States- Promoted
TB COMPUTER ANALYST TRAINER
MINACT, IncSan Francisco, CA, US- Promoted
Adjunct Faculty- Computer Science
University of St. ThomasSan Francisco, CA, US- Promoted
Computer System Validation
Katalyst Healthcares & Life SciencesOakland, CA, US- Promoted
HPC Networking Lead
Magic AISan Francisco, CA, US- Promoted
- New!
Staff Software Engineer, SDN Networking
Crusoe Energy Systems LLCSan Francisco, CA, United StatesSoftware Engineer, Networking
OpenaiSan Francisco, California, United StatesComputer Networking & Information Technology Instructor (Temporary, Part-Time Pool)
City College of San FranciscoSan Francisco, CA, UStutor - Computer Programming
BUKISan Francisco, CA, USSenior Solutions Architect, Networking
NVIDIARemote, CA, US- Promoted
HPC Networking Lead
MagicSan Francisco, CA, US- Promoted
Computer Programmer
TradeJobsWorkForce94141 San Francisco, CA, US- Promoted
Senior Software Engineer I, SDN Networking
Epoch BiodesignSan Francisco, CA, United States- Promoted
Networking Consultant
DeloitteSan Francisco, CA, US- Promoted
Senior Networking Engineer
FluidStackSan Francisco, CA, US- Promoted
Staff Software Engineer, SDN Networking
CrusoeSan Francisco, CA, US- Promoted
Computer Vision Engineer
AquabyteSan Francisco, CA, USCOMPUTER SCIENCE
Santa Rosa Junior CollegeSonoma County, CA- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Los Angeles, CA (from $ 147,222 to $ 183,664 year)
- Seattle, WA (from $ 125,749 to $ 174,200 year)
- San Antonio, TX (from $ 42,900 to $ 171,579 year)
- Salt Lake City, UT (from $ 37,742 to $ 169,690 year)
- San Bernardino, CA (from $ 42,900 to $ 168,574 year)
- San Francisco, CA (from $ 42,900 to $ 168,574 year)
- San Jose, CA (from $ 42,900 to $ 168,574 year)
- San Diego, CA (from $ 42,900 to $ 168,574 year)
- Orange, CA (from $ 115,257 to $ 155,496 year)
- Houston, TX (from $ 80,438 to $ 134,082 year)
The average salary range is between $ 42,900 and $ 134,514 year , with the average salary hovering around $ 59,667 year .
Related searches
Head of Computer Vision
RainesDevSan Francisco, CA, US- Full-time
Job Description
Job Description
Head of Computer Vision
Location : San Francisco Bay Area (On-Site, 5 Days a Week)
Overview
We’re seeking an accomplished Head of Computer Vision to lead the development and deployment of next-generation video analytics systems that will transform how work is measured and optimized in complex, large-scale environments. You will guide technical strategy, manage research-to-production pipelines, and work hands-on to deliver breakthrough capabilities in automated video labeling, object tracking, and real-time analytics.
This role offers the rare opportunity to build and scale the entire computer vision function at a fast-growing company, working at the intersection of hardware, AI, and real-world impact. You will collaborate closely with cross-functional teams, from hardware engineers to data scientists, to deploy systems that integrate seamlessly with purpose-built devices in the field.
Key Responsibilities
- Technical Leadership – Define and execute the computer vision roadmap, from research to large-scale production deployment.
- Model Development – Architect and optimize models for video processing, object detection, and activity recognition, ensuring robustness in real-world conditions.
- Pipeline & Infrastructure – Oversee design and scaling of ML pipelines, including edge computing and integration with proprietary hardware.
- Product Integration – Work with product and hardware teams to align CV capabilities with end-user requirements and operational goals.
- Team Building – Recruit, mentor, and grow a high-performing computer vision engineering team.
- Innovation & Research – Keep the organization at the forefront of CV advancements, publishing and patenting as opportunities arise.
Requirements Qualifications
Preferred Experience
Who You Are
Benefits
Full Benefits