Top Software Engineer Jobs

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

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.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

Lead client engagements and own end-to-end solutions, prototyping while ensuring reliability and scalability. Mentor engineers and help define technical roadmap.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

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.

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.

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.

Lead the engineering team at Equi, building full-stack applications and AI-driven systems to support investment workflows. Drive technical decisions and enhance software solutions across departments while eventually leading an engineering team.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior Machine Learning Engineer will develop and maintain algorithms/services for multi-agent AI, deliver cloud-native architecture, and optimize ML models for performance.

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.

Design, build, and operate Developer Intelligence platform components that collect and correlate engineering telemetry, integrate AI/LLM tooling into SDLC workflows, improve observability, automate developer workflows, and mentor peers while resolving architectural and operational bottlenecks.

The role involves developing and enhancing a revenue cycle management platform, ensuring efficient data access for healthcare providers, and collaborating with clients to address their needs.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

Develop and maintain AI systems, collaborate with teams, debug production issues, and mentor engineers to ensure high-quality AI features.

Lead and manage a team responsible for AI developer workflows and cloud agent platforms, ensuring reliability and guiding technical strategy. Collaborate with cross-functional teams to enhance engineering productivity through AI tools and workflows.

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.

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.

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.

As an engineering intern, you will develop AI solutions, collaborate with teams, optimize algorithms, document your work, and showcase projects.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.