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Ai Deep Learning Engineer

Berkeley,CA

931 Ai Deep Learning Engineer jobs in Berkeley,CA

New, Posted 16 hours ago
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Agentic AI Engineer, Expert

PG&E Corporation

Oakland, CA 94612

Hybrid~ 17 min

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or equivalent work experience in computer science, information technology, business administration, engineering, or other relevant field required
  • 5 years of experience in Cloud Architecture, Solution Architecture, Platform Architecture, or Enterprise Architecture
  • AWS Associate Certification, or equivalent Cloud platform certification
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AI-Native Founder’s Associate

Aonic

San Francisco, CA 94111

$140,000/yr
~ 26 min OnsiteUrgently Hiring

  • Degree from a top-tier university in engineering, science, math, business, or a related field.
  • Candidates with a business background must have taught themselves at least basic coding and demonstrate technical fluency.
  • AI-native mindset, with hands-on experience using AI tools, automation platforms, and low-code solutions to drive real outcomes.
  • Strong analytical and problem-solving ability, with comfort working across operations, growth, and finance.
  • Genuine interest in solving real-world business problems, including those involving physical operations such as production, supply chain, warehousing, delivery, and customer experience.
  • Extremely hungry and ambitious, actively seeking responsibility and steep growth.
  • Strong work ethic and intensity, comfortable operating in an environment that works 8–7 on Monday to Thursday and 8-5 on Fridays.
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 43 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.
SmartExplore AI is experimental.
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New, Posted 1 day ago
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System Engineering Lead - Wired Networking Hardware, eero

Amazon.com Services LLC

San Francisco, CA 94199

Urgently Hiring
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Manager, SAP AI & Agent Governance

KPMG

San Francisco, CA 94112

~ 26 min OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent experience in SAP functional consulting, SAP business process transformation, S/4HANA programs, intelligent automation, AI-enabled transformation, enterprise architecture, identity, security, controls, or related technology initiatives
  • Bachelor'sdegree in business, information systems, engineering, technology, or relatedfield preferred; or minimum of a high school diploma or GED required plus sevenyears of relevant SAP implementation experience
  • Strong hands-on understanding of one or more SAP business process areas such as Finance/Controlling, Procure-to-Pay, Order-to-Cash, Supply Chain, Manufacturing, Asset Management, or Human Capital Management, including SAP processes, transactions, master data, workflow, integrations, and business requirements
  • Experience with AI, intelligent automation, SAP BTP, SAP Build, workflow, APIs, integration platforms, copilots, AI agents, or other emerging automation technologies is strongly preferred
  • Understanding of identity and authorization concepts including least privilege, role-based access, delegated authority, segregation of duties, privileged access, identity lifecycle management, and related governance controls
  • Strong ability to translate business process requirements into practical AI, automation, governance, risk, and control solutions; project or team leadership experience within consulting or professional services is preferred
  • Excellent written and verbal communication, facilitation, and presentation skills with the ability to work effectively with senior business and technology leaders
  • Travel could be as high as 80% at times
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Senior Software Engineer (Hybrid)

Energy Solutions

Oakland, CA 94612

$140,000-$175,000/yr
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Unmanned Ground Vehicle (UGV) Systems Engineering SME

QinetiQ

Novato, CA 94947

~ 36 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.
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Sr. IT Manager, Global Data and Analytics

Abbott Laboratories

Alameda, CA 94501

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Senior Mechanical Engineer (Manufacturing Engineering)

Velo3D

Fremont, CA 94536

$145,000-$170,000/yr
Health InsuranceRetirement Benefit

  • Bachelor's degree from an accredited university in mechanical engineering or a related field or higher
  • 8+ years of experience in Mechanical Systems Design and Development
  • 5+ years of CAD experience (Solidworks prefered) Solidworks PDM, Solidworks Electrical
  • 8+ years' experience designing manufacturing systems for semiconductor, machining, automation, materials processing, or other related industrial capital equipment applications (Additive Manufacturing, Semiconductor, Solar, Robotics, CNC, or Biomedical Manufacturing Equipment Design Engineering experience)
  • Experience in GD&T; and quality detail drawing documentation.
  • Thermal Analysis, FEA, CFD, and simulation software.
  • Systems level thinker with experience working on complex mechanical systems
  • Willing and able to work "Hands-on" to build, integrate and test newly developed systems and/or subsystems
  • Self-driven and independent thinking. Ability to work independently.
  • Strong desire to work for a company on disruptive technologies and make it a success.
  • Strong written and oral communication skills.
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Sr. Electronic Designer

Aem

Hayward, CA 94544

~ 33 min Onsite

  • Bachelor's degree in Electrical Engineering or related discipline (required)
  • Minimum 5 years of experience designing and releasing electronic hardware in a manufacturing environment
  • Demonstrated experience supporting products through NPI, production ramp, and sustainment
  • Design for Manufacturability (DFM), Assembly (DFA), and Test (DFT)
  • Experience with high-reliability or ruggedized hardware systems
  • Understanding of tolerances, variability, and production constraints
  • Schematic design and PCB layout (multi-layer)
  • Analog, digital, and mixed-signal systems
  • Embedded microcontroller-based designs
  • Power systems (linear and switching)
  • Advanced troubleshooting and debug at board/system level
  • Experience with ECO, PLM, and document control systems
  • Familiarity with IPC standards (IPC-A-610, J-STD-001)
  • Production test development and validation
  • Yield analysis, failure modes, and corrective action processes
  • FCC/CE/IC compliance and regulatory testing
  • RoHS and component compliance tracking
  • Environmental and reliability testing (thermal, vibration, ingress, etc.)
  • Ability to analyze production and field data to identify systemic issues
  • Strong statistical and analytical thinking applied to yield and reliability
SmartExplore AI is experimental.
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