Top Software Engineer Jobs

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

This role involves developing engineering solutions for banking technology challenges, collaborating with teams, prototyping using various technologies, and ensuring production quality software with CI/CD practices.

Develop tools for AI workload profiling and debugging in GPU clusters, collaborating with various teams to enhance performance and efficiency.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

The intern will develop iOS app features, collaborate with teams, improve app performance, debug issues, and contribute to AI-assisted workflows.

Develop and ship features in an Android app, improve app performance, support Growth initiatives, and contribute to AI-assisted workflows.

The Advisor Lab Automation Software Engineer will design and implement software integrations for lab automation, focusing on AI-driven processes, while providing technical leadership and mentoring.

The Product Engineer Senior Consultant I (Full Stack Java/AI) designs, builds, and enhances digital products, implementing AI technologies to streamline workflows and support enterprise operations.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

The role involves designing and delivering AI-powered solutions, collaborating with stakeholders, and managing end-to-end project delivery in a technology-focused environment.

The Senior Software Engineer will develop and integrate LLM-powered features, build AI capabilities for logistics operations, and collaborate with Data Scientists and ML Engineers to deliver AI solutions at scale.

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.

As a Software Engineer at Paces, you will build AI automation solutions to expedite power development, working closely with industry experts and taking ownership of projects to enhance scalability and features.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

As a Software Engineer, AI, you'll develop AI-driven pharmacy benefits software, maintain systems, collaborate on design, and troubleshoot production issues in a rapidly growing health-tech company.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

The Full Stack AI Developer will design and scale AI-driven platforms, develop CI/CD pipelines, manage deployments, and collaborate with teams.

As a Staff Software Engineer, you will architect AI-native pharmacy benefits software, focusing on system design, mentoring, and enforcing coding standards within a collaborative team setting.

The job involves developing core libraries for agent-based applications, optimizing performance, and creating tools for scalable deployment of autonomous systems.

As a Staff Product Engineer, you will manage messy customer-generated data, design reliable systems, ship features, and improve AI implementations for Prokeep's product.

Join CACI as an Agentic AI ICAM Integration Software Engineer, developing scalable AI solutions and managing identity access systems while collaborating with senior engineers.

The role involves building and improving AI voice features, debugging issues, and collaborating with product teams to enhance user experience.

The AI Diagnostics & Observability Engineer will build diagnostic infrastructure for AI systems, implement performance metrics, create dashboards, and manage real-time interventions for clinical AI assistants.

Lead the technical direction for cloud-based products, focusing on software architecture, AI/ML solutions, and cloud platform engineering. Guide teams, influence decisions, and mentor engineers while designing scalable systems.