Top Software Engineer Jobs

Design and deploy LLM-powered AI systems, engage with customers to tailor solutions, contribute to platform development, and ensure production quality.

As a Senior AI Engineer, you will architect and implement scalable AI solutions while improving service reliability and deploying applications across cloud environments.

As a Senior Software Engineer, you'll design, develop, and optimize AI agents and tools, lead technical strategy, mentor junior engineers, and drive AI innovation.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

The role involves collaborating with customers to enhance AI workloads, leading technical engagements, and developing AI solutions, while optimizing performance on NVIDIA's GPU technologies.

The Senior Solution Engineer will support NVIDIA's Enterprise product line, resolve AI/ML issues, mentor early-career engineers, and lead projects.

As a Senior Solutions Architect, HPC and AI, you will validate and debug large-scale GPU clusters, assist customers with technical issues, and contribute to deep learning advancements.

Develop advanced C++/CUDA libraries for AI storage infrastructure, work with Linux kernel internals, and optimize performance in data storage solutions.

Lead the strategy and execution of Carlsmed's imaging AI initiatives, focusing on developing segmentation and 3D reconstruction pipelines for medical imaging data.

Develop modular applications, optimize e-commerce performance, drive conversion rate improvements through A/B testing, and enhance AI-based engineering practices.

The Lead/Senior Software Engineer will architect and develop scalable AI tools, collaborate across teams, mentor juniors, and drive innovation in AI applications.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

The Solutions Architect will assist customers in deploying Generative AI applications, design technical solutions, and manage projects from prototyping to production.

The Senior Applied AI Engineer will develop AI features for construction permitting, shape AI strategy, and collaborate across teams to enhance product offerings.

Lead the design and architecture of intelligent systems using AI, focusing on real-time collaboration and data integration for global supply chains.

Design and develop AI systems for personalized travel and concierge services, focusing on integration and optimization of various technologies.

This role involves developing AI integration strategies for enterprise clients, building GenAI workflows for large-scale data, and maintaining customer relationships.

Oversee AI and ML solutions at CarMax, guiding teams and managing budgets while driving innovative technology solutions and stakeholder communication.

The Lead AI Graph Compiler Engineer will develop a scalable machine learning compiler using MLIR and LLVM while optimizing performance across various model architectures.

The Software Engineer will build tools to enhance the Go-To-Market (GTM) strategy using AI, collaborating with various teams and stakeholders. Responsibilities include developing scalable applications, iterating on tools based on user feedback, and documenting solutions.

As a Senior Applied AI Engineer, design and implement autonomous multi-agent AI systems, focusing on logistics solutions that integrate with existing technologies.

The Senior Backend Engineer will develop and optimize backend systems, focusing on voice cloning and text-to-speech functionalities while leveraging cloud technologies. They will ensure high availability and containerized deployment of applications.

Lead development of AI features for ClickUp, collaborating with various teams to innovate and ensure reliability and performance in production environments.

As a Senior AI Engineer, you will develop AI features, collaborate with cross-functional teams, ensure production reliability, mentor peers, and integrate AI models.

Design, develop, and maintain a platform for intelligent agents; integrate multiple LLMs; build workflows for multi-agent coordination and ensure compliance with data regulations.