Top Hybrid Software Engineer Jobs

Lead architecture and long-horizon technical roadmap for industrial software. Drive high-risk, high-upside platform bets, prototype system modeling/simulation and developer tooling, and raise organizational technical ambition while collaborating with senior engineers.

Lead design and implementation of privacy-first iOS apps, build and iterate Cloaked Pay screens, own mobile payments, ship UI-heavy SwiftUI features, integrate REST/GraphQL APIs, use Core Data/offline storage, develop iOS and Safari extensions, enforce architecture and testing best practices, mentor engineers, and collaborate across design, backend, and product.

As a Software Engineer for the AI platform, you will build and scale infrastructure, design secure systems, develop tooling, and ensure performance and security for AI workflows in life sciences.

The Software Engineer is responsible for creating and maintaining data workflows and automation pipelines using Apache Airflow, collaborating to ensure workflows are efficient and production-ready.

As a Software Engineer on the Database Team at Pinecone, you'll design and build features for AI applications, enhance performance, and support distributed systems with a focus on learning and collaboration.

As a Staff ML Engineer, you will architect and build Spara's AI engine, craft user experiences, collaborate with leadership, and innovate in AI application.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

Design and build backend APIs and services for enterprise security teams. Collaborate with frontend engineers, product managers, and designers on product features from concept to production.

Join k-ID's Engineering Internship Program to work on privacy-centric tools for kids online, building features and fixing bugs in a collaborative environment.

This role involves designing AI agents, building robust infrastructure, and translating customer insights into technical requirements while working with reinforcement learning and applied data.