Top Software Engineer Jobs

Responsible for gathering and implementing payment solutions, collaborating with teams, managing client interactions, and ensuring customer satisfaction and quality standards.

The Senior Staff Enterprise Architect will define the architectural vision for enterprise AI solutions and align IT strategies with business objectives while ensuring adherence to best practices.

The Web Developer will join an AGILE team to develop business applications, troubleshoot existing applications, and collaborate with various stakeholders.

The Senior Solutions Engineer is responsible for collaborating with sales to deliver identity security solutions, providing technical expertise and support, and mentoring other engineers, while conducting presentations and responding to customer inquiries.

Develop and maintain C++ desktop applications that interface with motion capture systems. Collaborate with software, hardware, and QA engineers to build high-performance, real-time systems. Contribute to internal tools and pipelines using C++ and Python. Participate in code reviews, testing, and documentation.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

As a Senior Backend Engineer at Posh, you will design and scale backend services, manage AI infrastructure, and collaborate on integrating AI features into products.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

As a Senior NLP Data Engineer, you will design and optimize data pipelines, automate workflows, and support machine learning systems, focusing on unstructured text data.

The Software Engineer II will develop AI capabilities, implement workflows, manage integrations with LLM providers, and enhance the TrakSYS platform while ensuring security and reliability.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

The Senior Software Engineer will develop AI-enabled applications, optimize data workflows, mentor engineers, and ensure software quality and performance.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

The role leads application systems analysis and programming, drives architecture strategy, evaluates technologies, and influences senior stakeholders in the investment domain.

Design, build, and maintain custom applications using Google AppSheet; integrate apps with Excel and SQL databases; gather requirements from stakeholders; implement workflows, dashboards, and data models; monitor and optimize app performance; provide user training and documentation; apply AI and process-improvement methods to automate and enhance PMO operations.

Lead architecture and development of scalable full-stack applications and distributed backend services (TypeScript/React/Node/GraphQL). Drive technical strategy, cross-functional collaboration with manufacturing, robotics, and operations teams, establish engineering best practices, mentor engineers, and deliver production-grade, reliable, observable software for factory and manufacturing platforms.

As a Machine Learning Engineer in the AI for Autonomy Lab, you will develop prototypes, lead engineering research, and collaborate with various stakeholders to enhance autonomy systems using AI technology.