Top Software Engineer Jobs

The Head of Applied AI will lead the execution of AI projects, collaborating with leadership and cross-functional teams to drive successful outcomes. This role requires designing and building scalable AI systems on AWS, mentoring engineering teams, and staying updated on AI advancements while communicating complex topics effectively.

The Tech Lead Manager will oversee the fullstack product and infrastructure development for Glean's Generative AI products while providing technical leadership, coaching engineers, and fostering an inclusive team culture. They will collaborate closely with product management, design, and data science to enhance capabilities and performance.

The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.

Design, train, and deploy large deep learning models utilizing vast amounts of data from a fleet of vehicles, working alongside engineers and scientists to advance autonomous driving solutions.

The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.

The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.

As an AI Performance Engineer, you will optimize the training and inference performance of machine learning models for autonomous driving, working closely with software engineers and researchers to enhance the capabilities of deep learning on NVIDIA GPU systems and AV onboard systems.

The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.

The Senior Manager of Software Engineering at Figma will lead multiple teams to develop and enhance AI capabilities in core products. Responsibilities include collaborating with cross-functional teams, driving product innovation, recruiting, and mentoring engineers while promoting an inclusive and diverse culture.

The role focuses on enhancing AI/ML infrastructure to improve productivity for researchers. Responsibilities include resolving infrastructure gaps, developing scalable solutions, optimizing performance, and collaborating with various teams to create an integrated AI/ML infrastructure ecosystem.

The AI Technology Lead at Golin will architect and implement a multi-year AI technology strategy to modernize the agency. Responsibilities include collaborating with partners, evaluating technology startups, and ensuring the successful integration of AI solutions to improve business outcomes and drive innovation.

As a Software Engineer specializing in AI at Figma, you will lead the development of early-phase AI systems that enhance user experience. You'll collaborate with innovative engineers and data scientists, breaking down AI challenges into engineering strategies, mentoring peers, and contributing to the team’s growth through recruitment processes.

As the AI Data Architect/Data Lead at Golin, you will develop and implement the agency's long-term data strategy to enhance AI-driven solutions. This includes creating a data lake, ensuring compliance with data governance, acquiring partnerships for data, and driving innovative data-driven capabilities while collaborating with various stakeholders.

As a Senior Software Engineer on the AI team at Couchbase, you will design and implement innovative database and AI features and tools. You will tackle challenges in developing distributed databases, focusing on OLTP and OLAP needs, while employing AI/ML technologies. The role requires collaboration with peers, research in leading-edge algorithms, and delivering high-quality software through rigorous testing.

The Software Engineers will build features and improvements, collaborate on design and UX, and maintain the GraphQL/TRPC API. They will also provide technical leadership, manage UI components, and contribute to the AI/ML tools and services on the Paperspace platform.

As a Software Engineer at DigitalOcean, you will work on the Paperspace team to build and maintain UI components and tools for AI/ML workflows. Responsibilities include developing APIs, collaborating on design, and leading a technical area. You will ship product features autonomously while ensuring effective architecture and user experience.

The Senior Perception Software Engineer will develop machine learning solutions for obstacle detection in aircraft, build software infrastructure to utilize large-scale fleet data, and enhance machine learning systems for performance and reliability. This role involves addressing challenges in the machine learning development cycle and optimizing models for real-world applications.