Top Software Engineer Jobs
The ASIC/SoC Design Verification Engineer will define and implement test plans for SoC design verification, develop reusable test benches and verification modules, and mentor junior engineers while collaborating with design teams. Key responsibilities include building verification infrastructure and debugging simulation failures, ensuring efficient and effective verification processes.
The Enterprise AI Client Architect at Writer will act as a trusted advisor to clients, bridging the gap between business strategy and technical implementation. This role involves deploying AI solutions to improve operations and decision-making, enhancing user experiences, and educating stakeholders on AI applications.
The Senior Software Engineer II will enhance AI/ML infrastructure, develop model training and deployment strategies, design systems for AI model capabilities, and mentor junior engineers while ensuring security and compliance in healthcare applications.
The Staff Software Developer will work within the AI Product Engineering team to build and support AI-driven products, focusing on performance, reliability, and user experience. Responsibilities include technical ownership of AI portfolio, collaborating with developers, writing well-tested code, and mentoring peers.
The AI Solutions Consultant will work closely with the sales team, guiding clients on utilizing AI Decisioning effectively, and developing technical content. Responsibilities include understanding customer pain points, executing technical projects, and advocating for customer needs within the company.
As a Senior Solutions Consultant at Feedzai, you will serve as a trusted advisor to financial institutions, understanding client needs and demonstrating the capabilities of the RiskOps platform. You'll collaborate with sales and product teams, manage RFPs, and ensure proposals align technical solutions with business requirements.
The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.
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