Top Software Engineer Jobs

Lead customer onboarding and implementation of AI Simulation solutions, establish reference architectures, support technical escalations, and drive enterprise deployment best practices.

This role involves designing and delivering AI-enhanced software solutions, optimizing development processes, and collaborating with teams for timely project delivery.

The role involves developing and scaling AI-driven software systems, collaborating with teams, and ensuring high performance and availability of AI components across various platforms.

This role involves building tools for AI Agent development, architecting processing pipelines, and enhancing developer experiences with client-side tools. Requires collaboration and problem-solving skills.

Develop and optimize high-performance Vision AI systems, pipeline implementations, and collaborative projects, leveraging computer vision and deep learning for real-world applications.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

The Lead Full Stack Engineer will design and operationalize AI agents, architect microservices, lead root cause analysis, and mentor engineers while focusing on AI-driven transformation in financial services.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

The role involves designing AI systems, integrating machine learning models, automating tasks, and collaborating on product integration. Participation in risk assessment and compliance is also required.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

Seeking a Distinguished Technologist to lead AI architecture and design for HPE's Private Cloud AI offerings, focusing on applied AI, agentic AI, and generative AI. Responsibilities include technical leadership, implementation, and mentoring engineers while optimizing AI systems for cloud-based solutions.

Seeking a Technical Artist skilled in Generative AI to create photorealistic content and manage complex node-based workflows. Responsibilities include asset delivery, video generation R&D, and collaboration with production teams.

The role involves scaling and optimizing a Generative AI product by designing APIs, enhancing infrastructure, and collaborating with cross-functional teams. Responsibilities include implementing metrics and tracing frameworks to monitor performance and usability while fostering coding best practices.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As an AI-forward full stack developer, you'll build robust server-side applications emphasizing Amazon SP-API integrations and utilize AI tools to enhance coding efficiency.

Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.

As a Staff Software Engineer, you'll develop AI-native product features, integrate with EHRs, and ensure compliance, focusing on quality and safety in healthcare applications.

Lead the design and development of scalable backend solutions for digital marketing, collaborating across teams and mentoring engineers.

Design and develop AI-driven, cloud-native products for clients. Lead technical decisions and collaborate with teams to integrate AI models into applications.

The role involves researching AI system architecture, developing performance models, analyzing AI workloads, and guiding design decisions while collaborating across teams.

The role involves researching AI system architecture, developing performance models, making design decisions, and leading architecture strategies. It requires collaboration across teams to evaluate AI workloads and scalability issues.

As a Software Engineer, you will build backend services, design data pipelines, integrate AI models, and collaborate with the engineering team to deliver robust features.

The Sr. AI/LLM Infrastructure SW Engineer will develop AI models, lead architectural evaluations, and define AIOS solutions in vehicles, necessitating teamwork and strategic planning.

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.