Design, develop and install software solutions for manufacturing test systems, create test plans, scripts, and maintain test software and infrastructure.
Compensation
The typical base salary for this position is expected to be between $82,500 - $110,000 annually. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.
Responsibilities
Develop test systems and procedures for manufacturing processes
Create, validate, release, and maintain test software and scripts
Support and maintain manufacturing server and rack level test software
Maintain comprehensive documentation of test procedures
Collaborate with cross-functional teams
Requirements
Bachelor’s degree in Electrical/Computer Engineering, Computer Science, Information Technology, or a related field
Satellite radar sensor specialist with expertise in radar satellite sensors and Synthetic Aperture Radar (SAR), responsible for processing and analyzing radar imagery and developing advanced geospatial solutions for engineering and R&D applications.
Responsibilities
Process and analyze SAR/radar satellite imagery
Perform SAR preprocessing, calibration, speckle filtering, geocoding and terrain correction
Apply radar imagery for change detection, surface monitoring, deformation analysis and feature extraction
Work with Sentinel-1 and other relevant SAR datasets/platforms
Develop automated radar-data processing and analytics workflows
Focus on electric machines within the electromagnetics group in R&D department, involving definition of requirements, design, analysis, development, and testing of electric motors.
Responsibilities
Develops models of electric machines for analytical, numerical and system level analysis
Develops and supports Matlab/Python-based scripts for simulation automation
Develops new tools and methods to support modeling, analysis and optimization of electric machines
Participates in the integration of multidisciplinary components for system simulation
Provides technical insight for advanced technology development
Requirements
PhD Degree in Electrical Engineering or equivalent program with emphasis on electrical machines
Nice to have: CAD software
Nice to have: Simulink
Nice to have: Understanding of manufacturing and design trade-offs
Support the development, automation, and integration of artificial intelligence solutions within the New York City Police Department’s enterprise technology environment.
Responsibilities
Assist in developing, testing, and integrating AI-enabled applications and automated workflows using Python and established development tools.
Write and maintain Python scripts, automation tools, and reusable software components to improve operational efficiency.
Support application integration through APIs, data exchange, and connectivity with existing enterprise systems.
Work with Git, CI/CD pipelines, and automated testing tools to support software development and deployment activities.
Assist with configuring, testing, and integrating AI services, models, and supporting technologies.
Requirements
Baccalaureate degree in computer science, engineering or a related field
The City of New York Police Department seeks a technically motivated AI Engineer to support the development, automation, and integration of artificial intelligence solutions within its enterprise technology environment.
Locations (2)
New York City, New York, United States
New York, New York, United States
Responsibilities
Develop, test, and integrate AI-enabled applications, services, and workflows using Python, APIs, and established development frameworks.
Build and maintain scripts, automated processes, and reusable components to improve development efficiency and system integration.
Support CI/CD pipelines, source control, application deployment, and configuration management using modern development tools.
Assist with the integration and configuration of AI models, services, and supporting infrastructure, including emerging generative AI technologies.
Implement secure coding practices, access controls, secrets management, and automated security checks in accordance with established Department standards.
Define and develop a scalable Hardware-in-the-Loop (HIL) methodology for automated PMIC verification and contribute to creating a reusable verification framework.
Responsibilities
Define and develop a scalable Hardware-in-the-Loop (HIL) methodology for automated PMIC verification
Contribute to creating a reusable verification framework that supports efficient and reliable validation of PMIC functionality under different operating conditions
Develop a behavioral model of the PMIC describing the expected response to analog and digital stimuli
Define a scalable test methodology to automatically stimulate the Device Under Test with analog and digital signals, including fault injection scenarios
Implement an automated verification framework to compare the actual device response against the expected behavioral model
Requirements
Master’s in electrical/electronic engineering or related technical field
Gain hands-on experience in integrating AI into engineering workflows within the Back-End Reliability and Qualification team, exploring real-world reliability and qualification processes to improve efficiency and reduce manual effort.
Responsibilities
Map agreed workflows and identify repetitive tasks suitable for AI-supported solutions
Review existing processes to evaluate AI use cases for cost and time savings
Prepare approved datasets and documents ensuring data quality and compliance
Build and test AI prototypes for use cases like report drafting, information retrieval, or data extraction
Compare AI-generated outputs against engineer-reviewed examples and record performance metrics
Requirements
Degree program in Computing, Data Science, Engineering, or a related discipline
Support key initiatives spanning Research and other investment and client service teams, involving designing systems, running empirical analysis, and maintaining data sets.
Responsibilities
Execute and analyze simulations for research on asset pricing models and economics studies
Compile and manage large data sets from multiple sources
Execute regular validations to ensure inputs to research, portfolio management, and client reporting are appropriate and accurate
Review academic papers to improve our understanding of asset pricing and academic landscape
Identify opportunities to further our research agenda and conduct analyses
Requirements
Bachelor’s degree in Finance/Economics, Mathematics, Statistics, Computer Science, Engineering, or a related field
Satellite radar sensor specialist (Mission Critical Communication Hub)NewCapgemini · Stockholm, Sweden
Electromagnetics Intern - Summer 2027NewNexteer Automotive Corporation · Saginaw, US