Top Software Engineer Jobs

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

As an AI Platform/System Storage Intern, assist in defining strategies for AI platforms/systems, research implementations, analyze trends, and summarize findings.

Lead the strategy and development of AI-driven shopping experiences, focusing on intelligent digital agents for commerce. Collaborate across teams for innovation in automated shopping and ensure data privacy and ethical AI practices.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

Design and optimize CUDA-backed, large-scale ML training frameworks for scientific applications. Implement kernel-level acceleration, GPU porting, distributed learning, and maintain HPC stacks for atomistic modeling and generative ML while collaborating with infrastructure and research teams.

Lead complex projects in software product development, ensuring on-time delivery and technical excellence while enhancing customer outcomes and stakeholder engagement.

The Lead Software Engineer will architect and implement software solutions for life safety platforms, focusing on AI integration and SaaS development, while mentoring engineers and collaborating across teams.

The Solution Architect will design cloud-native solutions with Azure and .NET, defining architecture standards, leading governance, and integrating AI capabilities.

The Lead Software Engineer will develop and deliver AI-driven claims workflows using Python and Google Cloud, focusing on automation and system optimization.

The Sr. Staff Software Engineer will design and implement scalable systems for Conversational AI and automation, collaborating with teams to deliver solutions, mentor engineers, and ensure system reliability.

The role involves advising customers on AI solutions, collaborating on projects, and implementing scalable systems for data processing with a focus on generative AI.

Build and own an internal Finance Analytics discoverability and data management web platform. Deliver end-to-end full‑stack features (UI, APIs, data workflows), enable conversational AI reporting alongside BI dashboards, implement secure identity integration and audit trails, create CRUD and bulk-data workflows with validations and rollback, partner with data engineering and IT/security, and establish engineering standards (testing, CI/CD, observability).

The job involves designing and building features for various user segments utilizing AI in workflows, mentoring team members, and contributing to engineering practices.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

Lead the engineering organization for data and AI platforms, focusing on machine learning, generative AI, and operational excellence in development and deployment.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

The Principal API Architect will design and govern API standards, ensure secure integration with AI, and define API lifecycles for microservices. Responsibilities include mentoring engineers, promoting operational excellence, and collaborating across teams for successful API outcomes.

Develop and deploy innovative AI systems to enhance Factory's core capabilities, integrating research findings into practical solutions and addressing scalability challenges.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

Lead a high-velocity engineering squad to transition geospatial AI research into a production-ready AI Geospatial Assistant. Own hiring, team operations, evaluation-led development, cross-functional roadmapping, mentorship, and operational excellence to deliver forensics and change-detection use cases at planetary scale.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Senior Software Engineer in Agentic AI, you will develop AI-driven software translation tools, design workflows, and collaborate with specialists to enhance code generation pipelines.