AI Machine Learning Engineer III

Job Title

Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Research, conceive, develop, and model new architectures for AI/ML accelerator Integrated Circuits via simulators or system coding/analysis. Research, conceive, develop, and evaluate algorithms for AI/ML workloads on accelerator ICs or hardware, potentially utilizing hardware/software co-design techniques. Research, conceive, develop, and evaluate compiler and mapping operations for optimal assignment of computational workloads to accelerator hardware. Author conference presentations and journal papers reporting on new research results. Drive technical innovation leading to invention disclosures and patent filings. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics. Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects. Telecommuting is permissible. Position requires a Doctorate or foreign degree equivalent in Computer Science, Engineering (any), or related field. Salary Range: $140,000.00/year to $270,000.00/year. Variable incentives may also be offered. Information about employee benefits offered can be found at . E-Mail resume to applications@hpe.com. Include Ref. # 8356222, full name, email & mailing address. No phone calls. Must be legally authorized to work in U.S. w/out sponsorship. EOE.