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Aws Data Engineer

San Francisco,CA

1739 Aws Data Engineer jobs in San Francisco,CA

New, Posted 10 hours ago
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Senior Software Engineer (Hybrid)

Energy Solutions

Oakland, CA 94612

$140,000-$175,000/yr
New, Posted 1 day ago
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Senior ATS Engineer - Welding

PG&E Corporation

San Ramon, CA 94582

~ 51 min Onsite

  • Bachelor's Degree in Engineering with emphasis in a discipline related to assignments.
  • 5 years of related experience working experience
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Unmanned Ground Vehicle (UGV) Systems Engineering SME

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Computer Engineering, Aerospace Engineering, or a related technical discipline.
  • 10+ years of experience supporting defense systems engineering programs, including experience with unmanned or robotic systems.
  • Secret Clearance Required; #qinetiqclearedjob
  • Demonstrated knowledge of systems engineering principles across the full system life-cycle.
  • Experience supporting the integration of complex hardware and software systems.
  • Experience with requirements management, interface management, technical reviews, and engineering documentation.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to communicate effectively with government and contractor stakeholders.
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New, Posted 8 hours ago
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System Engineering Lead - Wired Networking Hardware, eero

Amazon.com Services LLC

San Francisco, CA 94199

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field
  • 8+ years of experience in system-level hardware design for wired networking products (managed Ethernet switches, routers, linecards, or gateway/firewall appliances)
  • 5+ years of experience as a hardware technical lead, driving hardware designs from architecture definition through bring-up, debug, and production readiness
  • Direct experience with networking ASIC or packet processor integration (Broadcom, Marvell, or equivalent)
  • Experience with high-speed serial interface design and SerDes tuning, including PCB signal integrity review and stack-up optimization for multi-gigabit designs
  • Understanding of PoE system design (802.3af/at/bt) and power delivery architectures for platforms with 24 or more Ethernet ports
  • Strong written and verbal communication skills, including ability to write functional specifications and hardware validation plans
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Data Center Engineer, Electrical

Uber

San Francisco, CA 94103

$180,000/yr
New, Posted 12 hours ago
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Sr. IT Manager, Global Data and Analytics

Abbott Laboratories

Alameda, CA 94501

New, Posted 8 hours ago
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System Engineering Lead - Wired Networking Hardware, eero

Amazon.com Services LLC

San Francisco, CA 94199

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Combat Engineer - Entry Level

U.S. Army

Oakland, CA 94601

Requires TravelEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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Staff Machine Learning Engineer - Uber AI Solutions

Uber

San Francisco, CA 94103

$232,000/yr
Bilingual Preferred
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 49 min

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
  • A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
  • Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
  • Programming skills in Python and experience with common data-science and machine-learning libraries.
  • Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
  • Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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