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Deployment Engineer

San Jose,CA

1436 Deployment Engineer jobs in San Jose,CA

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Combat Engineer - Find Success in US Army

US ARMY

Monterey, CA 93940

Requires TravelUrgently HiringEducation 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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Sr. Staff CPU Software Test Engineer

Qualcomm

Santa Clara, CA 95053

~ 14 min Onsite

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  • 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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New, Posted 1 day ago
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Heavy Equipment Operator Training - 14 Weeks Paid + Benefits

U.S Army Reserve

San Francisco, CA 94112

Education 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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Consulting Solutions Engineer

NetApp

San Jose, CA 95123

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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.
SmartExplore AI is experimental.
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STAFF MANUFACTURING ENGINEER

TE Connectivity

Milpitas, CA 95035

~ 17 min Onsite

  • BS/MS in Mechanical, Electrical, Chemical, Manufacturing, or Materials Engineering (or closely related engineering field)
  • Hands-on experience with semiconductor/MEMS wafer processing in a cleanroom environment
  • Demonstrated data driven decision making
  • Proficiency with engineering tools such as metrology equipment, wafer probing systems, SPC/DOE software (Minitab/JMP)
  • Experience with process control, formal process release, and engineering documentation (PFMEA, control plans, specifications)
  • Strong analytical and statistical skills with demonstrated use of ANOVA, SPC, DOE, or advanced data analysis methods in production environment
SmartExplore AI is experimental.
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Manufacturing Engineer

Keysight Technologies

Santa Clara, CA 95051

~ 14 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Mechanical Engineering, Physics, Optical Sciences, or a closely related technical discipline.
  • 4-7 years of experience working in technical manufacturing environment.
  • Strong communicator who collaborates effectively across functions and supports technical discussions with data and analysis.
  • Demonstrated ability to think critically and work independently to develop ideas and translate new concepts into practical, results-driven solutions.
SmartExplore AI is experimental.
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Supply Chain Planner, IC4

Oracle

Santa Clara, CA 95051

~ 14 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 6-10+ years of experience in supply chain planning, materials planning, manufacturing coordination, or related hardware supply chain roles
  • Experience supporting complex, high-tech, or cloud infrastructure supply chains
  • Experience working with contract manufacturers, engineering teams, and materials execution functions
  • Demonstrated experience balancing demand, supply, and manufacturing capacity in a fast-moving environment
  • Experience supporting product transitions, clean-to-build analysis, or supply recovery efforts preferred
  • Strong understanding of end-to-end supply chain planning, including demand planning, materials, manufacturing capacity, and inventory management
  • Ability to evaluate clean-to-build, material readiness, and supply feasibility
  • Strong analytical and problem-solving skills with the ability to turn data into decisions
  • Experience with Oracle Fusion Cloud Supply Chain Planning or similar enterprise planning systems preferred
  • Proficiency with Excel, reporting tools, and supply chain data analysis
  • Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
  • Range and benefit information provided in this posting are specific to the stated locations only
  • US: Hiring Range in USD from: $102,300 to $209,500 per annum. May be eligible for bonus and equity.
SmartExplore AI is experimental.
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Solutions Engineer

Viavi Solutions

San Jose, CA 95123

Paid Relocation to San Jose, CA

RemoteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree from an accredited university in Engineering or related technical field (or equivalent work experience).
  • Minimum 5 years of experience in technical sales, business development, or pre-sales in the telecommunications, networking, or test and measurement industry.
  • Proven track record managing large strategic accounts, preferably Cisco or other major OEMs.
  • Strong background in networking, network security, and applications.
  • Hands-on experience with IP and Ethernet technologies : Data Center Ethernet, 1.6T/800/400/100/40/10GigEth, L4-L7 technologies, AI/ML, RoCEv2/CCL.
  • In-depth knowledge of routing protocols : IPv4/IPv6, RIP, BGP, OSPF, ISIS, RSVP-TE.
  • Familiarity with MPLS protocols : RSVP-TE, LDP.
  • Application-level protocol knowledge: HTTP(S), TCP/IP.
  • Experience with test platforms such as: TestCenter, CyberFlood, Viavi, Keysight/Ixia, BreakingPoint Systems (preferred).
  • Programming/scripting experience in Python (a plus).
  • Cisco certifications (CCNA, CCNP, CCIE) are highly desirable.
  • Pre-Sales Support & Customer Engagement
  • Partner with account teams to drive technical strategy and solution design for key accounts.
  • Provide direct pre-sales support to customers, tailoring product presentations and delivering technical demonstrations.
  • Understand customer business needs and translate them into consultative, value-driven solutions.
  • Lead proof-of-concept activities, ensuring successful technical evaluations.
  • Collaboration & Solution Development
  • Work with internal and external teams to anticipate, qualify, and respond to customer needs.
  • Serve as liaison between sales, product marketing, and engineering to communicate customer requirements and feature requests.
  • Provide post-sales technical support and ongoing customer training as required.
  • Collaborate with VIAVI Support and Engineering teams to resolve technical issues quickly and effectively.
  • Relationship Building
  • Build and maintain trusted technical relationships with strategic customers, particularly large accounts such as Cisco.
  • Develop long-term customer partnerships to support account growth and ongoing success.
SmartExplore AI is experimental.
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