Job #2303: Chameleon Technologies is searching for a Hardware Design Engineer for a contract role in Redmond, WA. A successful candidate will be responsible for driving high quality and reliability of equipment used in cloud to meet and exceed our customers’ expectations. Act as the internal consultant on all reliability matters and interface with program management, vendors and design engineering (as necessary) on key reliability programs/issues. This will include creation or revision of reliability engineering guidelines to improve product field performance through design enhancements to meet reliability goals. Uses principles of performance evaluation and prediction to improve the reliability and maintainability of Cloud Infrastructure servers, including PCBA (printed-circuit-board-assembly). Identifies, collects, analyzes, and manages various types of data to minimize failures and improve product performance. Develop use condition model that represent the expected use environment and operational conditions. Select, analyze, and interpret the results of various test methods to be used during product development. Consults and works with design teams and other stakeholders regarding the application of Reliability Engineering tools (e.g. statistical analysis, reliability modeling & prediction, FMEA, FTA, DFx techniques, fault tolerance, optimization, DOE, etc.) to achieve quality and reliability goals. Use scripting and real time capture responses from electronic devices under test (DUTs) to determine proper operation of the DUT or fault trace/root-cause. Works cross-functionally to resolve reliability problems that result in excessive field failures.

In addition, candidate’s will use cloud performance IoT (Internet of Things)/telemetry data and traditional reliability engineering principles, to determine and predict the reliability for critical commodities/parts. Candidate will author Subject Matter Expert papers to help informed the decision-making process and knowledge of fleet’s reliability. The successful candidate should be considered as an expert in their technical field as well as having a proven track record of success. The candidate must demonstrate a detailed understanding of the significance of time to market, risk mitigation, contingency plans, return on investment, etc.

Primary responsibilities include:

Being able to identify and later optimize AI-oriented applications through software optimizations on novel AI systems and chips.
Work with architects and microarchitects to determine needed experiments
Implement these experiments by modifying apps, implement libraries, work with the compiler team, etc.
Run simulators on large pool of servers and analyze the data
Document and present findings to hardware and software architects
Interact with multiple internal software teams

Qualifications:

Managing multiple design qualification activities and development schedules
Knowledge of manufacturing methods for electronic components
Strong knowledge of state-of-the-art reliability assessment and improvement methods
Hands on lab experience and Lab View hardware/software design knowledge/experience desired
Knowledge of statistical techniques and models is required to analyze test data and estimate product life cycle performance.
Standard lab experience using oscilloscopes, logic analyzers, multimeters, and other common EE lab tools
Ability to communicate, collaborate and lead cross-functionally to resolve issues, including with customers
Excellent verbal/written communication, interpersonal and computer skills required
Self-motivated individual, must be able to work collaboratively in team environment and across internal divisions and industry (OEM, ODM)

TOP 3 SKILLS/EXPERIENCE A SUCCESSFUL CANDIDATE MUST POSSESS:

Minimum 3+ years experience in DRAM, SSD, NAND flash reliability qualification
Experience with finite element modeling
Strong working knowledge of PCBA (printed circuit board assembly) and electronic component failure mechanisms. Strong familiarity with industry standards, IPC, JEDEC, Telcordia, and MIL, Strong working knowledge with life test, ALT, HALT and HASS design and execution

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