Top Software Engineer Jobs

Build low-level device runtime software for OpenAI custom AI accelerators. Responsibilities include kernel scheduling, command submission, queueing, device memory management, synchronization, hardware-software interfaces, simulation-based validation, performance tuning, debugging, testing, tracing, and profiling. Collaborate with compiler, kernel, architecture, verification, firmware, and silicon teams to improve accelerator execution and co-design.

Design, build, test, and deploy enterprise .NET web applications; integrate generative AI features using AWS Bedrock and Anthropic Claude; use AI-assisted coding tools; maintain CI/CD pipelines in Azure DevOps/TFS; optimize backend/data access and collaborate with architects, PMs, and analysts on solution delivery.

Build and scale full-stack features for the Insights practice management platform using ReactJS, Python, and PostgreSQL. Improve reliability, observability, performance, and availability; collaborate with infra, backend, product, and design; own multi-month projects, conduct code reviews, and drive architectural improvements to support thousands of practices.

As a Junior Software Engineer, you'll design, develop, and troubleshoot software solutions while gaining experience in an agile team environment.

Lead backend engineering for a cloud-native, data-intensive finance and P&L platform. Build and operate services (Java/Scala/Python) on Databricks and cloud, design secure scalable APIs, collaborate with finance and UI teams, and apply engineering best practices and AI/ML where valuable.

Develop C++ machine-control software and data analytics for advanced semiconductor mask inspection systems. Design, optimize, and maintain reliable, scalable code in multi-threaded and multi-process environments. Collaborate with electrical, mechanical, optical, algorithm, and software engineers to implement system requirements, support integration and testing, and resolve customer-site escalations. The role also involves debugging, Linux development, and potentially RPC, REST, containerization, Kubernetes, and modern UI frameworks.

Summer IT internship providing hands-on assignments across application/automation development, AI, cloud, data & analytics, security, networking and telecommunications. Interns receive mentorship, networking opportunities, and deliver a capstone presentation. Typical internships last 10–12 weeks in Bartlesville, OK or Houston, TX.

The role involves building AI agents for healthcare practices, focusing on reliability, data pipelines, automation, and production systems.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

Design and develop AI systems for personalized travel and concierge services, focusing on integration and optimization of various technologies.

Develop AI-driven solutions for sales execution focused on ERP integration, pricing engines, and optimization models while ensuring ROI alignment.

Join Knoetic as a Fullstack Product Engineer in a new AI pod. Own features end-to-end, work with customers, and improve engineering practices.

Lead clients in designing and deploying Microsoft Azure AI solutions. Oversee multiple projects, engage in client discussions, and support sales efforts.

The Principal Software Engineer will design AI-assisted developer tools, improve software development workflows, and integrate new technologies for government contracts.

The role involves enhancing kernel performance and AI-assisted tooling through developer workflows, observability infrastructure, and optimization techniques, collaborating across engineering teams.

Lead the enterprise cloud and application transformation strategy, focusing on App to Cloud modernization, driving microservices adoption, guiding development practices, and providing leadership across teams.

Design and implement geospatial components of an agentic AI system: build ArcGIS-based import/validation/storage of authoritative hazard geometry, develop deterministic polygon validation and REST APIs, integrate LLM-driven geo-language features, implement secure gov-cloud hosting and audit logging, and coordinate with alerting SMEs and system agents to ensure standards-compliant, human-approved alert areas.

Lead the delivery of AI-enabled engineering solutions, ensuring quality and performance while leading teams and establishing standards for Netsmart's healthcare technology platform.

The Head of Application Development leads software engineering and application development across all business areas. Responsibilities include strategic planning, team development, performance management, ensuring delivery of quality software, and managing relationships with stakeholders and vendors.

Lead the engineering team for Orchestrator, an AI-powered healthcare referral coordination product. Own end-to-end delivery, architecture, EHR integration strategy, scalability, customer partnerships, hiring, and team development. Remain hands-on through design reviews, code reviews, and production incidents while building generalized solutions across healthcare customers. Required expertise includes EHR integrations, HL7 v2, FHIR, full-stack production engineering, and at least one year of engineering management experience.

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.

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.

Design, build, and optimize Azure cloud-native applications using .NET/C#. Implement serverless, distributed architectures, data pipelines, and CI/CD. Leverage AI-assisted development tools, apply TDD and automated testing, mentor engineers, participate in architecture and DevOps, and ensure performance, security, and compliance.