3,867 Software Engineering jobs available for remote work from home. Apply for positions such as Senior Software Engineer, Windows/Desktop Applications - Long Beach, CA, USA, Senior Software Engineer, Windows/Desktop Applications - Menlo Park, CA, USA, Senior Software Engineer, Windows/Desktop Applications - Santa Clara, CA, USA, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Drive accessibility efforts and ensure high performance, reliability, and maintainability across the full software development lifecycle.
Lead the design, architecture, and development of native Windows desktop applications while enforcing best practices for performance and maintainability. Drive accessibility efforts and collaborate with cross-functional teams to shape the long-term roadmap for the Windows platform.
Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Drive accessibility efforts and collaborate with cross-functional teams to ensure high-quality, performant, and user-centric software releases.
The Senior QA Engineer will design and document comprehensive test plans while maintaining and extending automated test suites. They will also collaborate with cross-functional teams to clarify requirements and advocate for quality throughout the development lifecycle.
Design and ship core services for the PingOne Privilege cloud-native platform using Go and distributed systems. Develop AI security capabilities including real-time guardrails and agent identity governance.
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Lead and scale cross-functional engineering teams to deliver high-performance, reliable software for a trading platform. Drive technical strategy, process improvement, and team growth while ensuring system availability and performance.
The Principal AI Solutions Architect will define the technical architecture, engineering patterns, and implementation approach for reusable AI capabilities across the enterprise. They will partner with cross-functional teams to ensure AI solutions are integrated, deployed, scaled, and secured according to enterprise standards.
Lead a cross-functional team to deliver AI-enabled decision-support capabilities for the federal government. Define technical strategy, architecture, and execution plans while aligning software, data, and security workstreams.
Lead a cross-functional team to deliver AI-enabled decision-support capabilities for the federal government. Oversee technical strategy, architecture, and execution while aligning software, data, and security workstreams into a coherent operational system.
You will build and maintain full-stack features for marketplace products while supporting ML Ops infrastructure like model deployment and data pipelines. You will also collaborate with data scientists to reliably scale machine learning models into production environments.
The Engineering Lead is responsible for the technical direction and execution of major products and systems. This hands-on role involves designing scalable systems, writing code, and driving engineering initiatives from conception to production.
The Engineering Lead is responsible for the technical direction and execution of major products and systems, including hands-on design and coding. They will drive architecture decisions, mentor engineers, and ensure high engineering standards across the development lifecycle.
You will define and drive the technical vision and architecture for the Windows ML compiler stack while leading cross-team initiatives to optimize AI workload performance. Additionally, you will partner with hardware vendors to influence future AI hardware and software capabilities for CPUs, GPUs, and NPUs.
Lead and develop a team of Site Reliability Engineers to ensure the operational health, reliability, and security of critical cloud services in regulated environments. Drive engineering-led operational excellence by implementing automation, managing incident responses, and influencing technical strategy across organizational boundaries.
The Principal Software Engineer will design and develop next-generation storage backend technologies for Microsoft Azure. They will lead technical strategy, improve system reliability and scalability, and drive engineering productivity across the Azure Storage ecosystem.
The VP of AI & Software Engineering will lead the transformation of the organization into an AI-native engineering entity by implementing AI-assisted development practices. They will also define the technology vision, manage engineering standards, and oversee the development of AI-powered business solutions.
You will build and maintain features across the full stack, including React web applications, React Native mobile apps, and Python/Django backends. Additionally, you will collaborate with product managers and designers to translate requirements into technical plans while mentoring other engineers.
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Design and implement robust, highly reliable software for safety-critical systems using functional safety and deep learning techniques. Collaborate with cross-functional teams to ensure perception systems and data pipelines operate within defined safety envelopes.
The Lead Builder will design, configure, and scale intelligent agents and automated workflows using enterprise low-code/no-code platforms. They will also establish governance standards, mentor other builders, and collaborate with business partners to translate requirements into structured AI solutions.
The Research Associate will collaborate with NASA mentors to develop and evaluate machine learning models and build reproducible data pipelines for mission-relevant projects. They will also prototype proof-of-concept tools and document technical methods to ensure robust and traceable research outcomes.
Lead a Salesforce engineering team to deliver secure, scalable solutions while driving the adoption of AI-native development practices. Partner with product management and architecture teams to align platform innovations with business outcomes and engineering excellence.
You will define the architecture and technical strategy for the AI Agent Factory, establishing standards for building, connecting, and deploying AI agents. You will also design the infrastructure that securely connects large language models to governed enterprise data.
The engineer will design, build, and maintain a cloud-hosted relational database platform for acoustic-telemetry fish-tracking data. They will also develop ingestion pipelines, APIs, and reporting views while providing production support for the platform.
The Deployed Engineer will advise enterprise customers on agent architecture and evaluation strategies while co-building production-ready AI systems. This role involves embedding within customer teams to deliver end-to-end agent development lifecycle solutions.
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You will evaluate complex machine learning scenarios and develop, validate, and refine statistical models to address real-world business problems. Additionally, you will write and optimize Python and SQL code while providing expert guidance on analytical workflows and intelligent systems.
The Staff Engineer will partner with stakeholders to design scalable technical solutions and drive modernization efforts across the enterprise. They will provide technical leadership, mentor engineering teams, and define technology roadmaps to ensure alignment with business goals.
You will lead and manage a team of machine learning engineers to develop and deploy fraud detection models while maintaining strict performance SLAs. You will also drive cross-functional initiatives to improve data architecture and foster innovation across the product roadmap.
You will design and build scalable, highly available systems for the global payments platform while ensuring financial integrity and accurate record-keeping. Additionally, you will lead multi-team technical initiatives, mentor junior engineers, and collaborate cross-functionally to drive business impact.
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