1502 Cloud Engineer jobs in Santa Clara,CA

$83,000 - $100,000

Participation in bonus and equity award programs

Comprehensive benefits package

Standard working hours as determined by the company.

1-2 years of practical working experience within the electronics industry.

Proficient in using laboratory diagnostic tools, specifically oscilloscopes and multimeters, to perform comprehensive hardware failure analysis.

Strong ability to read and interpret schematic diagrams, alongside a solid understanding of fundamental electronic design principles.

Solid understanding of computer and server architectures, combined with the ability to use Linux command-line tools for system-level and board-level failure detection/analysis.

Practical knowledge of the PCBA manufacturing process, including hands-on capability to perform basic component-level soldering

Bachelor's degree or higher in Electrical Engineering, Electronics Engineering, or a related technical discipline preferred

Primary Level Salary Range: $91,800.00 - $137,600.00

Secondary Level Salary Range: $114,000.00 - $171,000.00

Employees may be eligible for overtime, shift differential, and a discretionary bonus

Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results.

Employees in Vice President or Director positions may be eligible for Long Term Incentives.

Health insurance coverage

Life and disability insurance

Savings plan

Company paid holidays

Paid time off (PTO) for vacation and/or personal business.

Relocation assistance may be available

Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 2+ years of relevant work; experience, or a Masters degree in a STEM discipline with 0+ years of relevant work experience

Exposure to test plans and procedures for mechanical systems

Experience participating in test meetings

Exposure to test reports

Exposure to requirement verification

Proficient with MS Office

Must be a U.S. citizen with the ability to obtain a Secret clearance

Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 5+ years of relevant work; experience, or a Masters degree in a STEM discipline with 3+ years of relevant work experience

Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 5+ years of relevant work experience, or a Masters degree in a STEM discipline with 3+ years of relevant work experience

Experience creating test plans and procedures for mechanical systems

Experience writing test reports

Experience with requirement verification

CA pay range MIN $32.34 to MAX $40.64

Major in Physics, Optical engineering, Material Science or similar technical field

US: Hiring Range in USD from: $102,300 to $209,500 per annum.

May be eligible for bonus and equity.

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D;

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

6-10 years of experience in materials management, supply chain operations, manufacturing planning, or related functions.

Experience working with contract manufacturers, suppliers, and global manufacturing operations.

Strong background in inventory management, production scheduling, materials planning, and supply chain execution.

Experience with ERP, MRP, or supply chain management systems.

Knowledge of manufacturing capacity planning, supplier management, and logistics operations.

Experience leading teams and influencing without direct authority across global organizations.

Experience supporting hardware manufacturing, cloud infrastructure, networking, server, or high-tech operations environments preferred.

Experience supporting New Product Introduction (NPI) or manufacturing ramp activities preferred.

Experience in cloud infrastructure, hyperscale, or data center operations environments.

Familiarity with manufacturing automation or supply chain process optimization.

Experience with Oracle ERP or Oracle Supply Chain applications preferred.

Weekly morning hours and occasional evening and weekend hours

The Candidate will have a minimum of 5 years of experience with AI

A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required

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.

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.

Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.

Experience working with structured, time-series, sensor, or high-volume manufacturing data.

Preferably including ML

Preferably with experience in statistical analytic techniques

A Master's degree is preferred.

Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.

Exposure to wafer fabrication, photonics, and telecommunications is a plus.