Top Software Engineer Jobs

Join as a founding software engineer to build core product and infrastructure, collaborate with the founding team, and help shape technical direction. Role is in-person in San Francisco; compensation includes competitive salary and equity. Submit resume to the provided email.

Leads architecture and development of scalable cloud-native, web, and connected software products primarily on Azure. Designs backend services, APIs, cloud infrastructure, and web interfaces while modernizing legacy applications. Provides technical leadership in Agile teams, drives DevOps, CI/CD, testing, observability, security, and performance practices, and mentors engineers. Partners with stakeholders, architects, program managers, and customers to define technical strategy, deliver connected data-driven systems, and align engineering decisions with business outcomes.

Senior Software Engineering IC3 role at Microsoft. The provided description includes compensation details, benefits eligibility, ongoing application acceptance, and equal employment opportunity information, but does not specify particular technical responsibilities, technologies, or qualification requirements.

Leads the design, development, and maintenance of scalable backend services and distributed systems for GM Commercial Software. Builds customer-facing capabilities, improves code quality and engineering efficiency, contributes to architecture discussions, collaborates across product and engineering teams, explores new technologies, and mentors early-career engineers.

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation, and tooling solutions. Integrate Azure AI and machine-learning capabilities, implement monitoring and telemetry, analyze usage data, and deliver customer-focused experiences. Collaborate with product managers and engineers, provide technical feedback, and own solutions throughout design, implementation, and operations.

Design, prototype, develop, document, test, and debug software solutions for semiconductor equipment components and devices. Troubleshoot software issues, communicate with internal customers to understand requirements, and contribute to innovative software solutions involving machine learning and AI. This full-time role begins in Summer 2027 and includes approximately 10% travel.

Build and operate DeepFrame’s GPU-powered video intelligence platform, including model serving, video ingestion, indexing, search, APIs, customer connectors, and enterprise deployments across AWS, single-tenant, and on-prem environments. Own reliability, observability, performance, and infrastructure costs while collaborating with Tokyo engineering and joining customer technical meetings. Serve as the technical owner for initial US pilots and deliver customer-driven product improvements.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions for corporate technology platforms. Creates architecture and design artifacts, analyzes data to improve applications and system architecture, and ensures production stability. Uses enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation while validating outputs for correctness, performance, security, and responsible data handling. Collaborates within an agile team and applies SDLC, CI/CD, resiliency, and security practices.

Lead the development of foundational iOS platform systems, shared frameworks, developer tools, architecture standards, and multi-quarter migrations across Cash App and Square. Drive performance, reliability, security, testing, observability, release safety, and AI-assisted development practices. This hands-on individual contributor role influences multiple teams, develops technical leaders, and partners broadly to improve iOS engineering quality, productivity, and product outcomes.

Lead software engineering initiatives for investment systems, driving architecture, technical design, cross-functional execution, system reliability, and scalability. The role coordinates engineers and product stakeholders, removes delivery blockers, mentors team members, and delivers complex enterprise-grade platforms. Technologies include AWS, Python, FastAPI, React, PostgreSQL, Redis, Kestra, and PySpark.

Design, build, and operate secure cloud platform services and large-scale software. Develop Java and Spring Boot microservices, implement REST and event-driven architectures, and apply automated testing, CI/CD, DevOps, and infrastructure-as-code practices. Collaborate with global engineering and business teams, conduct code reviews, mentor colleagues, troubleshoot performance issues, resolve operations tickets, and deliver scalable solutions using Agile methodologies.

Build and ship impactful features for Notion’s Android and iOS applications during a 12-week internship. Responsibilities include writing clean, secure, tested, documented code; collaborating with mobile engineers; improving app performance, reliability, and user experience; and potentially optimizing web-stack components. Interns work with mentors and cross-functional teammates from Notion’s New York or San Francisco offices.

Build and maintain scalable full-stack applications, distributed systems, REST APIs, data ingestion pipelines, secure enterprise search indexing, and user interfaces. Responsibilities include code reviews, performance tuning on Linux, customer requirement analysis, and collaboration with product teams. The role requires machine learning and MLOps experience alongside Python, PyTorch, TensorFlow, NLP, AWS, anomaly detection, Scikit-learn, security, and data engineering expertise.

Build and ship fully native iOS and Android applications using Swift/SwiftUI and Kotlin/Jetpack Compose. Own mobile architecture, CI/CD, release infrastructure, enterprise authentication, managed-device support, security controls, OS integrations, and auditability. Deliver features including search, AI assistants, agents, notifications, widgets, and voice modes while ensuring accessibility, performance, offline behavior, and enterprise readiness. Establish AI-assisted development workflows and represent mobile in security reviews.

Build scalable full-stack enterprise search and Work AI platform capabilities. Design and maintain front-end applications, REST APIs, application servers, backend systems, data pipelines, and distributed services. Develop user-facing features with TypeScript and React, server-side tooling with Node.js and Flask, and backend systems in Java and C++. Apply data analytics, visualization, and algorithm design to solve complex engineering problems and improve product decisions and system performance.

Build scalable, fault-tolerant distributed systems, data ingestion pipelines, secure enterprise search indexes, APIs, and user interfaces. Responsibilities include code reviews, performance tuning, customer requirement implementation, and collaboration with product teams. The role may involve cloud-native infrastructure, full-stack development, machine learning, or information retrieval systems using C++, Java, Python, Go, JavaScript, PyTorch, CI/CD, and GCP.

Develop full-stack, AI-infused enterprise applications across the software lifecycle, including requirements gathering, application and database design, coding, testing, deployment, monitoring, and support. Build scalable cloud-native services, Copilot-powered features, and intelligent agents using Azure and related technologies. Collaborate with product managers, designers, and engineers; participate in code reviews, planning, incident mitigation, root-cause analysis, and continuous improvement while ensuring security, reliability, and performance.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Develop backend infrastructure, data pipelines, web services, and fleet-management systems for autonomous industrial robots. Responsibilities include designing data stores for video and training data, supporting machine-learning compute clusters, maintaining customer-facing services, and diagnosing network issues. The role partners with machine learning, robot control, and DevOps teams and requires Python, distributed systems, databases, Linux, networking, and scalable data-processing experience.

Support and improve a heavily used web application as a backend-oriented full-stack engineer. Responsibilities include infrastructure and backend support, defect resolution, incremental improvements, feature development, product collaboration, and maintaining application reliability as usage scales. The role requires quickly becoming productive in a production environment and includes increasing ownership of product work over time.

Build and own backend services and core platform features while contributing to product management, UX, user research, and customer onboarding. Research and ship applied AI capabilities, reduce technical debt, and work directly with senior leadership on product direction. The role requires strong ownership, product judgment, customer engagement, and the ability to work independently in a fast-paced healthcare technology startup.

Develops, designs, maintains, and tests software for mission-critical products and systems. Responsibilities include full lifecycle software development, hardware and software integration testing, feature validation, documentation, and agile collaboration. The role may involve embedded systems, operating systems, networking protocols, mobile platforms, drivers, and security concepts.

Develop and scale cloud-hosted, high-performance robotics simulation pipelines. Build Python, C++, and Rust components for asset management, simulation, cloud deployment, telemetry, evaluation, and testing. Optimize GPU-accelerated simulation performance, support robotics algorithm development, maintain release workflows, and enable reproducible AI training environments. Collaborate with researchers and engineering teams to transition manipulation, locomotion, and VLA algorithms from simulation into physical-world applications.

Develop and maintain scalable backend services for an AI platform, integrate and optimize LLM and generative AI technologies, build APIs on Google Cloud, and improve performance and reliability for real-time customer engagement workflows. Collaborate with marketing, sales, and product teams while proposing innovative backend and AI solutions in a fast-paced startup environment.