Top Software Engineer Jobs

The Sr. Engineering Manager for AI Inference Platform will lead the architecture, design, and development of a platform that enables machine learning capabilities for Adobe's applications. Responsibilities include collaborating with teams, implementing processes for scalability, enhancing GPU utilization, and driving strategic technical decisions.

The Engineering Manager will lead the AI Platform team to develop innovative software systems for the Snorkel Flow platform, focusing on AI and machine learning models. Responsibilities include team management, architecture impact, collaboration with product teams, and contributing to the engineering culture.

As a Senior AI/HPC Storage Engineer at Recursion, you will design, implement, and optimize advanced data storage systems for AI and HPC. Your focus will include infrastructure management, process automation, and ensuring data integrity to support groundbreaking drug discovery research.

The Principal Software Engineer will lead the architecture and implementation of cloud computing software, focusing on AI/ML solutions. Responsibilities include developing scalable AI/ML models, overseeing system architecture, and mentoring teams. The role demands extensive experience with cloud technologies and AI/ML frameworks.

As an AI Tutor - Coding, you will assess AI-generated code, solve coding problems, and create human-readable summaries. This role is pivotal in training and evaluating AI models while enhancing your AI skills.

The System Engineer will integrate AI into wargaming efforts, collaborating with experts to enhance scenarios, develop roadmaps, implement data analysis methods, and create real-time analytics using tools like Power BI. The role includes conducting experiments, ensuring data integrity, and exploring AI applications to streamline processes.

The Senior Software Engineer will develop large scale applications and machine learning models, focusing on platform-oriented architecture. Responsibilities include designing and testing software, mentoring junior team members, and leveraging AI/ML technologies to enhance user experience and mitigate risks.

The Senior Researcher in Responsible AI at eBay will lead the evaluation of AI systems focusing on fairness, equity, and safety. Responsibilities include collaborating with research and engineering teams, conducting model evaluations, and contributing to responsible AI thought leadership. The role necessitates high skills in machine learning evaluation and practical experience in software development.

The AI Feature Engineer will design and implement AI features and data pipelines for AI products, managing data preparation and analysis. Responsibilities include building scalable architectures, deploying AI features using frameworks like TensorFlow and PyTorch, collaborating with cross-functional teams, and adhering to best practices in AI.

The Research Scientist at Salesforce AI Research will drive ambitious research goals in AI, focusing on large-scale Generative AI, Natural Language Processing, and Deep Learning. Responsibilities include developing innovative solutions for client needs, leading complex research projects, and publishing results in top AI conferences.

As a Principal Software Engineer at NVIDIA, you will lead the development of visual AI software, invent and prototype tools and services, optimize production code for GPUs, and collaborate with research teams to advance computer vision technologies. Your role involves mentoring, project planning, and driving innovation in AI applications.

As a Senior Applied Engineer at NVIDIA, you will develop AI Graphics technologies for cutting-edge projects, collaborating with teams to create algorithms, optimize performance, and prototype new solutions. You will leverage your expertise in real-time rendering and graphics APIs while presenting your findings and innovations at conferences.

The Senior AI Platform Engineer at NVIDIA will develop and optimize infrastructure for scalable AI workloads, focusing on efficiency and performance using NVIDIA hardware. Responsibilities include debugging AI jobs, collaborating with teams for performance improvements, and maintaining performance analysis tools and scripts.

As a Principal Engineer for NVIDIA Inference Microservices, you will design scalable and high-performance microservices for AI inference, work with AI model teams, and improve the inference architecture. You will mentor engineers and lead multi-functional efforts across organizational boundaries.

The AI Networking Software Developer at NVIDIA will design and implement features for AI communication middleware and libraries, develop enhancements for high-performance networking, and create proofs-of-concept for advancements in AI frameworks and networking technologies. The role requires collaboration in a multinational environment to improve performance and scalability in advanced computing systems.

The Principal Observability Architect will lead the design and implementation of distributed observability systems for AI and HPC clusters, collaborating with engineering and research teams. Responsibilities include developing data collection strategies, managing observability platform implementations, and improving system efficiency and productivity.

As a Senior Product Architect at NVIDIA, you will design and develop cutting-edge AI infrastructure for datacenter-scale HPC. Your role involves creating reference designs, leading prototyping, refining product designs, and ensuring seamless integration of technology components across various teams.