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Data Analyst Meter Data Utilities

Fremont,CA

574 Data Analyst Meter Data Utilities jobs in Fremont,CA

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SYSCO - Fremont, CA

Transportation Supervisor
Onsite
New, Posted 20 hours ago
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Sr. IT Manager, Global Data and Analytics

Abbott Laboratories

Alameda, CA 94501

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Data Center Lab Designer / Architect

Advanced Micro Devices

San Jose, CA 95124

Hybrid~ 28 min

  • Data Center Lab Designer / Architect
  • Lead technical evaluation, lab design strategy, infrastructure standards, and construction oversight for high-density data center environments
  • Site readiness, infrastructure scalability, and deployment execution align with AMD's performance, efficiency, and 3-5 year product roadmap requirements
  • Set global lab design direction across business units and use cases
  • Strong design leadership and project execution skills
  • Devise strategies for complex, high-density compute environments
  • Align cross-functional teams to deliver against active project milestones
  • Establish global design standards across labs and business units
  • Strong analytical thinking, executive communication, and stakeholder alignment skills
  • Plan infrastructure evolution aligned to future product roadmaps
  • Identify risk early and drive mitigation through structured governance
  • Data Center Due Diligence & Strategic Assessment: Perform technical due diligence on new and existing facilities
  • Evaluate power availability, redundancy, cooling capacity, environmental risk, connectivity, and expansion potential
  • Review infrastructure drawings, layouts, and single-line diagrams
  • Assess design maturity (Concept through IFC) and contractor capability
  • Identify technical, schedule, and scalability risks with structured reporting
  • Validate infrastructure alignment with high-density and future roadmap requirements
  • Lab Design & Global Standards Leadership: Develop scalable, modular lab designs optimized for density, airflow, accessibility, and operational efficiency
  • Set direction and define global lab design standards across AMD BUs and use cases
  • Ensure compliance with industry standards and evolving best practices
  • Integrate energy-efficient and sustainable design principles into all deployments
  • Utilize advanced modeling and simulation tools for airflow and thermal validation where required
  • Infrastructure Strategy & Technology Integration: Define corporate standards for power distribution, cooling systems, IT networking space, and rack density
  • Assess and implement high-density and liquid cooling readiness
  • Support integration of renewable energy strategies and advanced cooling technologies
  • Lead implementation and governance of DCIM, monitoring, and automation platforms
  • Ensure modular and POD-based expansion strategies support long-term scalability
  • Construction Monitoring & Deployment Governance: Monitor construction progress, quality, and contractor performance
  • Evaluate supply chain readiness for critical long-lead infrastructure components
  • Track execution against schedule and budget constraints
  • Lead design reviews and ensure alignment between intent and build
  • Oversee commissioning and validate operational readiness prior to deployment
  • Stakeholder & Program Management: Lead cross-functional collaboration across IT, Facilities, Real Estate, Procurement, and Product SMEs
  • Manage multiple concurrent projects while maintaining delivery timelines
  • Liaise with vendors and contractors to ensure installation timelines and standards adherence
  • Provide executive-level reporting on risk, budget, and schedule health
  • Maintain detailed documentation of specifications, assessments, and progress tracking
  • Preferred Experience: Semiconductor or high-density data center design, construction, or operations
  • Proven experience in large-scale lab or data center architecture and build-outs
  • Strong background in infrastructure assessment and technical due diligence
  • Experience reviewing construction drawings and overseeing commissioning
  • Familiarity with high-density computing, cloud-scale environments, and high-performance networks
  • Experience with airflow modeling or thermal simulation tools
  • Knowledge of DCIM and infrastructure monitoring systems
  • Relevant data center certifications (DCCA, CDCDP, or similar) preferred
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Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Annapurna Labs (U.S.)

Cupertino, CA 95014

New, Posted 1 day ago
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Data Center Technician (Overnights)

TEKsystems

Alviso, CA 95002

$50-$55/hr
~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 2+ years of experience in a data center, critical environment, or IT infrastructure role.
  • Experience performing rack and stack deployments.
  • Knowledge of server hardware and component replacement.
  • Experience with copper and fiber optic cabling standards and best practices.
  • Understanding of networking fundamentals including TCP/IP, Ethernet, switches, and routers.
  • Ability to troubleshoot hardware, connectivity, and infrastructure issues.
  • Familiarity with ticketing systems and technical documentation.
  • Comfortable working overnight shifts in a 24x7 operational environment.
  • Ability to lift up to 50 lbs and work in raised-floor or large-scale data center environments.
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Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Amazon.com Services LLC

Palo Alto, CA 94306

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
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New, Posted 23 hours ago
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid

  • 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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New, Posted 3 hours ago
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Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Annapurna Labs (U.S.)

Cupertino, CA 95014

New, Posted 20 hours ago
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Mechanic Level C

MV Transportation

South San Francisco, CA 94080

$39.61/hr
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Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Amazon.com Services LLC

Palo Alto, CA 94306

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Expert External Reporting Analyst

PG&E Corporation

Oakland, CA 94612

Hybrid~ 33 min

  • BA/BS in Accounting, Economics, Business, or related field or equivalent work experience.
  • 7+ years of public accounting or equivalent utility accounting experience.
  • Excellent writing skills.
  • Ability to manage a variety of projects and timelines.
  • Excellent interpersonal and communication skills, ability to interact effectively with various stakeholders and navigate complex organizations.
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