Top Software Engineer Jobs

The Memory Circuit Design Engineer will design memory IC projects from concept to tape-out, implement memory architectures, create testing plans, and troubleshoot design issues. Responsibilities include collaborating with analog and digital teams, ensuring memory integration, and maintaining documentation. Participation in innovative designs to meet customer needs is essential, along with staying updated on industry advancements.

Join Redis's core AI team to research, design, and implement advancements for Large Language Models (LLMs), focusing on optimization for relevance, latency, and privacy. Responsibilities include model optimization, tool development, and addressing complex NLP problems. Ideal for a self-directed individual with expertise in machine learning models and NLP.

The Senior Director, Business Development role focuses on leading relationships with strategic accounts in the Data and AI vertical, ensuring service execution exceeds client expectations, identifying new business opportunities, and collaborating with teams to pitch services to clients.

As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.

The AI Engineer will lead implementations of Generative AI for enterprises, working directly with advanced software teams to deploy large-scale solutions. Responsibilities include designing GenAI pipelines, solving technical challenges, guiding teams in adopting AI technologies, and collaborating on scalable AI systems while staying updated with the latest advancements in GenAI.

The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.

The Senior Sales Engineer at Cohesity will identify and drive new customer opportunities by articulating technical solutions, enabling product integration, and leading secondary storage strategies. Responsibilities include conducting product demonstrations, collaborating with product management, and offering post-sales technical support.

The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.

As a Senior AI Platform Engineer, you will design and maintain AI infrastructure, collaborate with teams to ensure robust systems, optimize models for efficient inference, manage AI models in production, and implement security protocols. You will also stay updated on industry trends and present possible use cases.

As a coding expert, you will provide assistance in training AI models by crafting questions related to computer science, evaluating AI-generated code, and ranking its quality. This role allows for flexibility in hours and is entirely remote.

As a Senior Software Engineer at Speechify, you will contribute to developing state-of-the-art voice cloning and low latency text-to-speech solutions. You will leverage AWS/GCS for service architectures, build scalable microservices, and write testable code, all while optimizing frontend and backend performance.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The AI/ML Engineering Senior Manager will be responsible for growing AI capabilities in the product and platform. They will manage a team of data scientists, machine learning engineers, and software engineers. They will collaborate with product management, UX designers, and business stakeholders to deliver AI-enabled software solutions and platform capabilities. The role requires strong technical leadership, experience in data science and AI, and proficiency in git-based workflows and machine learning tools.

The Systems Engineer, Channels will provide technical expertise to support Extreme Networks Partners. Responsibilities include training partners, assisting in network design, providing updates about products, and engaging with internal subject matter experts. The focus is on partner enablement rather than direct customer support.

The Lead AI Engineer will build and lead the AI team, focusing on developing agents to enhance the Neon platform for software development. This role requires extensive coding, mentoring engineers, and managing end-to-end delivery of projects. A strong background in AI tools, backend technologies, and experience in a leadership role is essential.

The Senior Technical Software Engineering Manager will lead an AI-focused team, managing software engineers and QA while also contributing directly to software development. Responsibilities include ensuring software quality, guiding system architecture, collaborating with cross-functional teams, mentoring engineers, and implementing testing strategies.

The Developer Relations Lead will develop and execute strategies to build a vibrant developer community. Responsibilities include community building, advocacy for developer needs within the company, overseeing educational content creation, planning outreach events, and leading a team of developer advocates and content creators.