Top Software Engineer Jobs

Entry-level software engineering role for 2027 graduates in an Engineering Development Program. Candidates will learn core systems and application development across the stack, participate in coding challenges and interviews, and work on Java/Rust/Python/TypeScript/React-based products while working in-office four days per week for the first two years.

Entry-level engineering development program for recent graduates to learn core systems and application development, deliver production code, and rotate into engineering teams. Work primarily with Java, Rust, Python, TypeScript, JavaScript/React, and mobile frameworks while completing coding challenges and evaluations. Requires in-office attendance four days/week for the first two years.

Entry-level software engineering role for 2027 graduates in an Engineering Development Program. Learn fundamentals, complete coding challenges and interviews, work on various products using Java, Python, TypeScript, front-end and mobile tech, and be office-based 4 days/week for first two years before flexible Work Anywhere options.

Design, develop, and maintain scalable, modular software and system integrations for Army missions. Implement MOSA/ISA-compliant APIs and infrastructure, apply Agile/DevSecOps practices, support full SDLC, perform testing, documentation, configuration management, and provide technical troubleshooting and integration support.

Lead design and implementation of analytical software for underwater vehicle data. Define architecture, lead small teams, manage requirements/CDRLs, perform testing (remote and onsite), interface with customers, produce documentation, conduct trade studies, and mentor junior engineers. Support system requirements, hazard analysis, and deliverables for DoD programs.

Develop, integrate, test, and maintain mission design and simulation software for NASA and commercial spaceflight programs. Implement software enhancements, maintain Class C software per standards, write documentation, support CI/CD and lifecycle activities, enforce coding standards, and collaborate with NASA teams to improve software design and processes.

Design and build scalable developer-platform architecture, tooling, testing frameworks, CI pipelines, deployment processes, and engineering guardrails. Lead AI-driven development-tool adoption, improve software quality and performance, remove development friction, modernize legacy patterns, and create reliable release processes supporting daily deployments, canaries, traffic replay, and enterprise feature bundling.

The Software Engineer will develop new products and features for autonomy workflows, collaborate with experts, and take ownership of technical decisions.

The role involves designing and implementing onboard software in C++, collaborating with cross-functional teams, and building autonomy systems for intelligent vehicles.

This role involves building and maintaining the SAN.com web ecosystem, enhancing product features, improving CI/CD processes, collaborating across teams, and focusing on user experience.

Design and build scalable backend services, data-processing workflows, APIs, databases, cloud infrastructure, and AI-powered systems. Lead architecture and technical strategy, own reliability and production operations, mentor engineers, and guide cross-team initiatives from design through deployment. The role focuses on transforming unstructured customer data into reliable structured outputs and developing LLM-powered and agentic workflows.

Lead and deliver complex Android features, set technical direction, mentor junior engineers, improve CI/CD and observability, collaborate cross-functionally, support production incidents and drive architectural improvements.

Develop data pipelines and AI systems to process data from multiple sources. Focus on simplicity, reliability, and maximizing sales efficiency while shipping features regularly.

The intern will develop features for the AI-powered video advertising platform, collaborating with engineers and PMs on full-stack solutions.

This role involves building ML infrastructure for monetization, including developing data pipelines, model training platforms, and real-time serving systems, while ensuring performance and reliability.

As a Senior Product Engineer, you will design and build experimentation platforms, improve rollout infrastructures, and collaborate with teams to ensure efficient product launches.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

As a Software Engineer I, you will contribute to developing cloud-native applications, focusing on backend services, APIs, and frontend development using React.

As a Software Engineer II, you will design, develop, and maintain Java applications, optimize data pipelines, collaborate on system initiatives, and implement automation for software delivery while ensuring high availability in production environments.

As a Software Engineer III, you'll design, develop, and deploy scalable software solutions, modernizing applications with cloud-native services and collaborating across teams.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Seeking a Senior Fullstack Engineer to architect and develop a customer-facing platform, bridging AI/ML systems and user features.

The Software Engineer will leverage LLMs, manage distributed services, and help implement solutions to optimize performance in a collaborative office environment.

Design and own Cursor's storage layer: databases, caches, and multi-database topology. Build sharding, migrations, query instrumentation, cache infrastructure, and guidance for choosing storage engines to ensure reliability, performance, and scalable operations.

Build and operate backend systems for agentic AI that analyze large-scale time-series telemetry. Own product features from customer discovery through deployment: APIs, distributed job execution on Kubernetes, sandboxed code execution, context management, observability, model integration, and evaluation suites.