AI Data Infrastructure Engineer
Location
Remote
Posted
2 days ago
Salary
0
Seniority
Senior
No structured requirement data.
Job Description
AI Data Infrastructure Engineer
Bright Vision Technologies
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Our team has a deep understanding of all aspects of semiconductor software development, including embedded, object-oriented applications, database, and web analytics. We have a passion for what we do and always seek out better ways to make our users more productive. Responsibilities · Develop and test robust and scalable software infrastructure for life cycle management of IoT MCU & Wireless products · Develop UI tools for part management in the following environments: design, verification, embedded platform s/w, and systems · Develop generation tools and template logic to provide IC support collateral including C source and embedded IDE integration · Troubleshoot and debug Jenkins CI/CD jobs for IC design and verification flows in simulation and FPGA · Develop and troubleshoot code for user applications and utilities, focusing on IC design and verification · Assist chip design engineers and hardware systems engineers in using the software tools at all pre-silicon development phases · Interact with diverse communities of hardware, systems, IC design, and marketing groups in different geographical locations · Develop tools for test data analysis and presentation · Develop and deliver training materials and demonstrations · Evaluate, adopt and deploy new technologies effectively · Effectively communicate with others to resolve issues Skills You Will Need Minimum qualifications: · BSCS/CE/EE and 5+ years of professional software development experience · Strong experience in object-oriented programming in Python, C#, or Java · Familiarity with software build techniques and revision control tools; working with hardware engineers in using the software tools at all pre-silicon development phases · Knowledge of software testing methodologies The following qualifications will be considered as a plus: · Knowledge of XML/XSLT/XSD for data modeling and transformation · Experience with UI development in Python Qt 5 · Python profiling and performance optimization techniques · Understanding of new part integration workflow for embedded software IDEs such as IAR EW ARM and SEGGER Ozone · Understanding of automated test environments for hardware verification, validation, and characterization · Hardware debugging skills to enable software functionality · Experience with artificial intelligence (AI) powered tools and technologies used to enhance productivity, analysis, and decision-making. 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• Design, develop, test, iterate, and deploy secure production systems across cloud-native and edge appliance deployments. • Embed with cross-functional teams and advise on infrastructure, security, and deployment best practices that hold up in production. • Own end-to-end infrastructure outcomes for one or more critical programs or priority infrastructure initiatives. • Harden the artifact pipeline so the same signed builds run in cloud, single-tenant high-side, and air-gapped appliance deployments.
