Top Software Engineer Jobs

Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.

As a Senior Software Engineer, you will design and implement scalable AI infrastructure, collaborate with teams, and ensure high performance for AI services.

This role involves leading the design and implementation of scalable AI services, optimizing performance for millions of API requests, and collaborating with various teams to influence AI platform development.

Lead and scale a team of engineers building AI inference platforms, manage core AI service development, and drive execution on AI roadmap.

Lead the design and implementation of AI services. Build scalable infrastructure for handling AI requests and collaborate across teams to shape future AI products.

The Senior GTM Engineer will design and build AI-driven automation, optimize sales and marketing workflows, and collaborate across teams to enhance GTM processes.

The AI Integration Engineer will connect healthcare data systems with AI platforms, focusing on data transformations using Python and interoperability standards like HL7 and FHIR, while coordinating with offshore teams and improving integration performance.

The Principal Full Stack Engineer will develop core product features for an AI-powered platform, leveraging their full-stack expertise, building production-grade applications, and integrating advanced AI technologies.

As a Senior Backend Engineer at Speechify, you'll optimize infrastructure, ensure scalability, and deploy end-to-end systems, focusing on high-performance AI products.

The role involves backend development focusing on voice cloning, text-to-speech efficiency, infrastructure scaling, and deploying high-availability applications.

The Senior Software Engineer will focus on backend development, optimizing infrastructure, scaling product flows, and deploying NLP/TTS models for Speechify's AI team.

The Azure AI & Data Engineer is responsible for implementing data pipelines, designing architectures for data processing on Azure, and deploying AI/ML solutions while ensuring data quality and automating workflows.

As a Senior Backend Engineer, you will develop scalable text-to-speech infrastructure, focusing on voice cloning and cost-efficient solutions while collaborating closely with the AI team to enhance product quality.

The Senior Backend Engineer will optimize infrastructure, enable voice cloning, implement text-to-speech capabilities, and manage deployments on GCP or similar platforms.

Design and develop EDA tools and flows focusing on ML/AI integration for chip design efficiency. Collaborate across teams to enhance design automation processes.

The IT AI Innovation Engineer will design and maintain AI-driven software systems, build workflows, collaborate across teams, and ensure security in development practices.

As a Senior Staff AI Engineer, you'll lead the design and implementation of AI solutions, mentor engineers, and optimize AI systems across enterprise functions.

Lead the development of an AI Clinical Navigator tool by managing the web application, guiding UX, and ensuring compliance with data protection standards while collaborating with a skilled team.

Collaborate with product leaders to build scalable AI product features, mentor teammates, and shape engineering culture in a fast-moving environment.

As a Ruby AI Tutor, you will review Ruby code for safety and correctness, solve system-level problems, and summarize decision-making processes.

The AI Software Engineer will design, deploy, and optimize LLM-powered systems, integrating AI solutions with hardware engineering teams to improve operational efficiency, using Python and cloud technologies.

The AI Solutions Engineer will work with ML teams, advising on GenAI/ML best practices, conducting demos, strategic reviews, and partnering with sales and product teams to drive customer success and product development.

Design and implement core components for Red Hat's AI platform, focusing on integration with hardware accelerators. Collaborate with teams to enhance software development practices using AI technologies.

The Principal Software Engineer will lead the design and implementation of Docker AI Cloud's distributed systems, focusing on scalable, reliable infrastructure while mentoring engineers and aligning technical strategy with business objectives.

The Principal Software Engineer will architect AI solutions, lead a development team, mentor engineers, and collaborate with product teams to improve platform capabilities.