The AI engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations.
Contribute to and enhance a complete stack of solutions for Cloud Security & DevSecOps management from a people, process, and technology standpoint.
Develop and implement security controls that are aligned with the organization's security policies and procedures throughout our software delivery lifecycle.
Automate the implementation and testing of these controls.
Monitor their effectiveness and make necessary adjustments.
Investigate and resolve security incidents that are related to security controls.
Partner with business areas to monitor adherence to internal controls, test that controls operate as designed and guide teams on corrective actions when gaps are found
Perform risk-based control testing across financial, operational, IT and compliance processes, and recommend improvements
Work with the UK controls team on SEC/SOX requirements and support internal and external audits, tracking timely closure of audit findings
Review and improve processes, procedures and policies, re-engineering workflows and automating manual steps to reduce control failures
Monitor key risk indicators, report control deficiencies and remediation progress to management, and promote control awareness through training
As a data engineer, you’ll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights.
Compensation
Salary Range: $85,000 - 95,000 annually
Responsibilities
Design data solutions that solve client business needs
Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions
Design data models that integrate media, site, sales and media conversion data to provide a complete view of marketing performance
Recommend and implement measurement approaches that support both agency and client objectives
Serve as a subject matter expert on media and marketing data architecture
Requirements
A bachelor’s degree preferred or equivalent work experience in related field such as Computer Science, Data Science, Mathematics/Statistics, Marketing Analytics
Support semiconductor technology development, device characterization, and data analysis as a Device Engineer Intern.
Compensation
The hourly pay range for this position, which could be performed in the US, is $19.00 - $30.00.
Responsibilities
Support characterization and evaluation of semiconductor devices including MOSFETs, bipolar transistors, diodes, resistors, capacitors, and high-voltage devices.
Analyze silicon test data and identify trends related to device performance, variability, reliability, and process changes.
Develop scripts and automation tools using Python, MATLAB, JMP, or similar software to improve data analysis efficiency.
Assist in the design and execution of characterization experiments at wafer level and package level.
Support technology development activities including process transfers, technology benchmarking, and device optimization.
Requirements
Currently pursuing a degree in Electrical Engineering, Materials Science, Physics, Semiconductor Engineering, or a related technical field.
Nice to have: Coursework or project experience in semiconductor devices, microelectronics, IC fabrication, or solid-state physics
Nice to have: Experience with laboratory measurements and electronic test equipment
Nice to have: Familiarity with semiconductor characterization techniques and data analysis methods
Software Engineer focused on compiler development (Clang/LLVM/MLIR-based) for FPGA design tools, contributing to SoC design and verification workflows.
Compensation
The annual base salary range for this position is $76,000 - $114,000.*
Responsibilities
Develop, verify, and maintain advanced analysis and transformation passes for the state-of-the-art high-level synthesis (HLS) compiler.
Optimize HLS-generated hardware architectures to enhance power efficiency, performance, and area utilization.
Analyze complex, real-world customer applications created with high-level synthesis to identify opportunities for performance and area improvements.
Implement new HLS features as needed.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related field
Senior Machine Learning Operations MLOps EngineerNewSymphony Solutions · Cincinnati, US