Top Software Engineer Jobs

The Senior AI/ML Engineer will develop, test, and deploy AI algorithms, troubleshoot issues, and document processes for cloud services.

The role involves developing AI models for robotic manipulation, building data pipelines, utilizing simulation for training, and mentoring engineers.

The Software Engineer will develop AI-driven integrations for workflows, collaborating with product teams and utilizing third-party APIs and backend designs.

Lead the quality assurance for AI software, defining test strategies, managing a team, ensuring compliance with safety standards, and utilizing automated testing tools.

The role requires designing and optimizing large scale networks, particularly in AI/HPC, while analyzing performance metrics and enhancing systems for training and inference workloads, including significant travel for buildouts.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Lead AI and automation projects as a Software Engineer, working on scalable systems and collaborating closely with teams to deliver impactful products.

This role involves providing technical support, designing control solutions, training customers, and refining specifications for applications such as motion control and robotics.

As a Principal Engineer, you'll design and develop solutions for the Exchange Platform, influencing project outcomes and managing team dynamics while ensuring technical excellence and maintenance of existing solutions.

The Senior Cloud Software Engineer will lead full-stack software solutions development, focusing on cloud infrastructure and AI/ML integration on AWS. Responsibilities include building scalable applications, managing AI/ML workflows, and mentoring team members.

The AI Integration Engineer leads the deployment, monitoring, and optimization of AI/ML models, ensuring scalability and compliance with security standards. Responsibilities include managing CI/CD pipelines, designing dashboards, and collaborating with data teams to enhance model performance.

The Exploitation Specialist will provide automation support for GEOINT integration, connect databases, streamline data workflows, and deliver modernization solutions.

NVIDIA is seeking a Senior AI MLOps Engineer to develop training for partners on AI and MLOps, focusing on effective deployment and support of NVIDIA AI infrastructure.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Develop and optimize AI models for photography and video applications, translating code from Python to C++, and deploying on various platforms.

Design and build modern front-end systems, SDKs, and components. Collaborate with teams to connect AI capabilities and enhance user workflows. Mentor engineers and influence technical direction.

The role involves modernizing a .NET Azure application, focusing on performance and scalability while integrating AI development tools and mentoring junior developers.

Lead AI development and implementation at StubHub, design AI tooling, develop ML models, and establish AI best practices while collaborating with cross-functional teams.