Responsible for products baseline management, document control management, configuration identification management and IT infrastructure change management.
Conducts configuration auditing in areas such as software version control, integration construction and release management.
Compiles release packages ensuring all documentation is present.
Apply your skills to support Gainwell as we help clients deliver better health and human services outcomes.
Compensation
The pay range for this position is $58,200.00 - $83,200.00 per year
Responsibilities
Strengthen our capabilities as you design, develop, install, test and document applications software — including server, client and web components
Play a vital role in designing, documenting and delivering technical architecture solution elements
Support coordination between application architects and developers to make sure design requirements are accurate and deliver the desired ROI for clients
Define and develop project requirements, functional specifications and detailed application solution designs for clients
Focus on the details as you develop technical documentation and test plans to support integration and deployment
Physical Design Engineer works with the logic design team to drive physical aspects, complete netlist to GDS2 implementation, and manage timing timing, physical, and electrical verification for SoC partitions.
Locations (2)
Cupertino, California, United States
United States
Compensation
The base pay range for this role is between $174,149 - $225,300/yr
Responsibilities
Work with logic design team to understand partition architecture and drive physical aspects early in design cycle
Complete netlist to GDS2 implementation for partition(s) meet schedule and design goals
Be responsible for timing, physical & electrical verification, driving the signoff closure for the partitions
Resolve design and flow issues related to physical design, identifying potential solutions and driving execution
Be a focal point for place and route, driving the work among place and route engineers, setting goals and milestones, planning short and long-term work
Builds and maintains large scale Machine Learning infrastructure, pipelines, and models using distributed data processing frameworks and cloud services.
Responsibilities
Builds sophisticated analytics, ML platforms, and software to enable model prediction and optimization
Develops highly scalable distributed systems and software applications using open-source technologies
Extends existing ML platforms and frameworks for scaling model training and deployment
Partners closely with business and software engineering teams to drive adoption and integration of model outputs
Implements big data solutions in the data analytics space
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field
Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field
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