Top Software Engineer Jobs

Design and implement AI solutions, leading projects, coding, testing, and mentoring team members while collaborating with business stakeholders to optimize technology solutions.

Lead design, development, integration, and testing of AI/ML-enabled, cloud-native C-UAS software. Architect distributed, real-time systems and AI/ML pipelines, mentor teams, ensure secure, maintainable code, and support test, evaluation, and lifecycle activities for mission-critical defense solutions.

Lead design, development, integration, testing, and maintenance of C-UAS software and TAK-integrated capabilities. Architect AI/ML pipelines, real-time and distributed systems, and mentor engineering teams while ensuring security, reliability, and performance throughout the software lifecycle.

Own and build the frontend for agentic AI features: design agentic UX, streaming responses, long-running tasks, and render agent findings alongside large telemetry datasets. Optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component libraries, collaborate on APIs, and work directly with customers to translate workflows into product features.

Build and own frontend surfaces for agentic AI used by hardware engineers: design streaming/long-running interactions, render agent outputs alongside large telemetry, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with customers and backend engineers from MVP through iteration.

Lead frontend development for Sift Agents, building high-performance, agentic AI user experiences. Own product area from customer discovery through shipping, design interaction patterns for streaming and long-running agent tasks, render agent findings alongside large telemetry datasets, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with backend engineers on API design.

Build and own frontend surfaces for agentic AI features: design streaming and long-running agent interactions, render agent findings alongside large telemetry datasets, optimize browser performance (Web Workers, OPFS, WebAssembly), contribute to component library, and collaborate with backend and product teams while engaging customers to shape the product.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Build and scale high-performance platform software for AI-driven radar systems across edge and cloud. Implement C++, Go, and Python components, distributed services, APIs, and deployment tooling; improve performance, reliability, and observability; collaborate with AI and embedded teams and mentor junior engineers.

Design and implement high-performance C++ backend systems for defense autonomy products. Build scalable, reliable infrastructure for multi-domain autonomous operations, partner with researchers and defense customers, own end-to-end execution from architecture to deployment, and help grow the Ann Arbor engineering site while meeting DoD operational requirements.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Improve UX, performance, reliability and integrate backend APIs. Collaborate with product and design to simplify user journeys and use analytics and production data to iterate on mobile experiences.

Design, build and ship native Android features using Kotlin and Jetpack Compose. Integrate REST APIs, improve performance and reliability, debug production issues, and create AI-assisted on-device experiences (TensorFlow Lite). Collaborate with product and design to simplify complex financial user journeys.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

Lead architecture and build scalable, secure production services while championing AI-native development. Mentor engineers, influence technical direction, review PRs, and help evolve a legacy monolith to a modern stack in partnership with product and exec leadership.

Intern will assist the engineering team in optimizing blockchain data queries and contribute to AI initiatives at Allium. Expect to learn from experienced engineers and gain hands-on experience.

Designs, develops, tests, deploys, and maintains payroll and AI-driven software solutions. Collaborates in agile teams, mentors junior engineers, builds test suites, improves performance, security, integrations, and operational monitoring while driving process improvements through automation and emerging technologies.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Senior Software Engineer will design and develop web applications, manage projects, ensure application efficiency, and mentor peers while using modern technologies and AI tools.

The Enterprise AI Platform Engineer transforms AI prototypes into production systems, focusing on deployment, security, solution architecture, and developer support.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Responsible for designing, building, and operating AI-powered features, scalable APIs, and maintaining integrations within ClickHouse's AI/ML ecosystem.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

The role involves driving the architecture and evolution of the Search product at Databricks, collaborating across teams, mentoring engineers, and ensuring high-performance systems for AI applications.

Design, develop, and deliver full-stack Marketplace features. Collaborate with PMs, designers, and engineers to build high-performance, secure, and scalable web applications focused on exceptional user experience.