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Data Analyst Utility

San Jose,CA

491 Data Analyst Utility jobs in San Jose,CA

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Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Annapurna Labs (U.S.)

Cupertino, CA 95014

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Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Amazon.com Services LLC

Palo Alto, CA 94306

~ 24 min OnsiteUrgently HiringHealth 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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Sr Principal Program Cost and Schedule Control Analyst

Northrop Grumman

Sunnyvale, CA 94087

~ 19 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

  • Bachelor's degree with 8 years of related professional experience - OR - a Master's degree with 6 years of related professional experience
  • Will consider 12 years of applied experience in lieu of degree requirement.
  • Experience with financial systems including cost performance reporting and analysis
  • Experience with Earned Value and performance measurement baseline concepts and ability to apply them to multiple contracts, CLINs and control accounts.
  • Strong PC skills - specifically Excel proficiency (including pivot tables, Vlookup, and conditional formatting)
  • Ability to travel domestically 25% of the time.
  • US Citizenship is required
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CPU Performance Analysis Engineer

Qualcomm

Santa Clara, CA 95053

~ 14 min Onsite

  • Bachelor's degree in Electrical Engineering, Computer Science, or related field.
  • 2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands).
  • Strong grasp of computer architecture and OS fundamentals
  • Strong scripting skills -- Bash / Perl / Python
  • Proficiency in C / C++ / x86, ARM compatible assembly language
  • Familiarity with CPU performance models
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Acoustic Analyst Level 2/3

Northrop Grumman

Sunnyvale, CA 94087

~ 19 min OnsiteHealth InsurancePaid Time Off

  • Must be a US citizen.
  • Ability to obtain and maintain a Secret Clearance.
  • Bachelor's Degree in STEM (Science, Technology, Engineering or Math) discipline with 2 years relevant work experience; or Master's Degree in STEM (Science, Technology, Engineering or Math) with no relevant work experience.
  • Experience with simulation software tools: Hypermesh, Nastran, Abaqus, MATLAB (or similar)
  • Relocation assistance may be available
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 27 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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Data Center Lab Designer / Architect

Advanced Micro Devices

San Jose, CA 95124

Hybrid

  • 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
SmartExplore AI is experimental.
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Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Amazon.com Services LLC

Palo Alto, CA 94306

New, Posted 1 day ago
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Data Center Technician

TEKsystems

Alviso, CA 95002

$35-$37/hr
~ 19 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Strong Data Center Operations experience with a focus on troubleshooting and break/fix support.
  • Ability to identify, isolate, and resolve server hardware issues independently.
  • Experience working with enterprise servers, network equipment, and data center infrastructure.
  • Knowledge of firmware upgrades, hardware replacement procedures, and basic server configuration.
  • Familiarity with rack and stack activities, cabling standards, and physical infrastructure deployment.
SmartExplore AI is experimental.
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Precision Assembly Technician

ManTech International

Livermore, CA 94550

~ 46 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • U.S. Citizenship is required.
  • Ability to obtain and maintain a DOE-Q security clearance.
  • Associate degree, vocational school degree, or Bachelor's degree in a technical discipline (6 additional years of experience may be substituted in lieu of a Bachelor's degree).
  • 2 + years of related information systems, technical laboratory, or advanced manufacturing experience
  • Demonstrated strong grasp of geometrical concepts with a proven capability to interpret complex engineering drawings and procedural guidelines.
  • Strong ability to learn, navigate, and operate specialized computer instrumentation software and technical systems.
  • Proven experience working across a large team to meet production deadlines, coordinate resources, and drive a standardized operational agenda.
  • Experience creating, maintaining, and communicating complex technical documentation, particularly regarding quality assurance data, system baselines, and configuration items.
  • Must be able to remain in a stationary position 50% of the time.
  • Willingness and physical capability to perform full-day assignments in complete ISO 5 / Class 100 cleanroom garments.
SmartExplore AI is experimental.
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