Top Entry Level Software Engineer Jobs

Designs and develops enterprise software applications, integrations, database solutions, reports, and data-driven tools using .NET technologies, SQL, and related platforms. Supports development infrastructure, automated testing, business intelligence, and software quality initiatives. Collaborates with engineers to troubleshoot complex issues and deliver new features. The role includes rotations through related engineering departments as part of an employee development program.

Design, implement, and optimize low-latency C++ trading applications and infrastructure. Collaborate with traders, quants, and engineers to build production-ready systems, maintain proprietary quoting and pricing tools, analyze diagnostic data, and gradually assume production ownership with mentorship.

Build reliable, scalable software products for Zip’s enterprise procurement platform. Responsibilities include designing frontend applications and components, developing APIs, writing maintainable code, collaborating with product and customer-facing teams, understanding requirements, and shipping customer-facing features. The role offers mentorship while requiring engineers to independently scope and solve complex technical challenges.

Own software features end to end across gateway infrastructure, enterprise deployments, and agentic systems. The role is backend- and infrastructure-focused but spans the full stack, including UI and connectors. Responsibilities include architecture, product and UX decisions, security hardening, enterprise deployment support, permission systems, connector design, code review, and shipping rapidly with AI coding agents. Engineers work directly with founders and customers and prioritize judgment, product value, reliability, and secure infrastructure.

Develop high-performance software for sensing and communication platforms using C++ and Python. Build low-latency data pipelines, UDP/TCP data orchestration, DSP algorithms, APIs, testing tools, and performance benchmarks in a Linux environment. Implement algorithms such as FFTs, FIR filters, DDC, and spectral estimation. Participate in code reviews, Agile collaboration, CI/CD, and software releases. The role requires TS/SCI with CI Poly clearance.

Build and ship customer-facing software products and AI applications, including data pipelines, evaluation infrastructure, agentic systems, fraud detection, matching algorithms, contributor tools, and RAG applications. Collaborate directly with customers, process large-scale data, integrate APIs and services, and iterate quickly on high-quality products.

Participate in a Pega bootcamp, then design, develop, customize, configure, and integrate Pega applications for government clients. Troubleshoot application issues, follow coding standards, and collaborate with business stakeholders. The role is primarily onsite in downtown Washington, DC, four to five days per week, and requires U.S. citizenship and a Top Secret security clearance.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Build and ship full-stack product experiences that leverage new AI model capabilities. Identify promising technical and product opportunities, rapidly prototype and validate ideas, collaborate with research, applied, product, design, data science, and engineering teams, and use user feedback and experimentation to determine which concepts should scale into larger products.

Develop software products, features, and tools supporting autonomy development workflows. Work across full-stack, infrastructure, robotics, and graphics systems; collaborate with domain experts and users; solve complex engineering problems; take ownership of technical and product decisions; and build expertise in autonomy technologies. Preferred experience includes frontend and API development, containerization, cluster orchestration, simulation, physical modeling, robotics middleware, and Python, C++, or JavaScript.

Design, prototype, and develop moderately complex software for semiconductor equipment components and devices. Build reusable software modules and libraries, create documentation and test procedures, troubleshoot software issues, implement bug fixes, and communicate with customers regarding requirements, schedules, and technical problems. The role involves Agile development, rapid prototyping, object-oriented design, parallel programming, and potentially AI and machine learning technologies.

Develop Windows and web applications for process automation, gather and document process and tool requirements, design data analysis pipelines, document data sources, maintain project timing plans and task schedules, and create Power BI reports. The role also requires meeting documentation, troubleshooting, cross-functional teamwork, and support for additional management-assigned tasks.

Develop, test, maintain, and review software applications throughout the full development lifecycle. Responsibilities include analyzing requirements, designing reliable solutions, programming, unit and system testing, documentation, code reviews, troubleshooting, and collaborating with technical teams and clients. The role also contributes to sprint research and stays current with software technologies, cloud platforms, containers, AI development tools, and modern application architectures.

Design, develop, maintain, and support full-stack applications, Azure cloud services, REST APIs, integrations, and data workflows. Contribute to CI/CD, infrastructure automation, testing, monitoring, troubleshooting, documentation, and operational improvements. Participate in a 24x7 rotational on-call schedule, handling incidents, restoring services, documenting resolutions, and supporting continuous reliability improvements across business-critical platforms.

Develop and debug high-performance embedded software for optical networking platforms. Collaborate with hardware, QA, and systems engineering teams; build software across operating systems, drivers, control plane, and data plane components; and troubleshoot multithreaded, distributed systems using Linux-based development tools.

Maintain and extend production Python applications, build internal tools and reports, and own the Power BI reporting estate. Support SQL Server reporting databases, desktop estimating and pricing tools, and scheduled system automations. Gather requirements from business departments, follow version control and code review standards, document systems, and gradually assume independent ownership under senior technical guidance.

Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Participate in developing and maintaining core products, compiling business-module interface documentation, troubleshooting issues identified by QA, and helping Customer Support resolve and categorize customer problems. The role is part of a 3–6 month early-career accelerator internship focused on blockchain and digital assets. Candidates should have strong Java, Spring microservices, database, middleware, communication, teamwork, and problem-solving skills.

Develops, tests, deploys, and maintains software for products and systems. Collaborates across hardware, firmware, and software teams on system integration, performance optimization, root-cause analysis, automated tooling, and AI-assisted engineering workflows. Participates in requirements development, code reviews, documentation, and process improvement while applying software development and machine learning technologies.

Build scalable, maintainable software for an AI voice agent serving mortgage lenders. Translate customer requirements into architecture, use AI coding agents to deliver features, and own core components end to end through production reliability. Potential systems include agent simulation and evaluation, A/B testing, SMS, voice orchestration, phone management, scheduling and dialing, agent orchestration, agent management, and security and privacy services.

Own significant areas of PayBox end-to-end, from problem definition through production and iteration. Build AI-interface payment and peer-to-peer transfer experiences, integrations across AI platforms, and infrastructure for applications and plugins. Partner with Product, improve onboarding and UX, make pragmatic architectural decisions, and operate autonomously in an ambiguous, fast-moving environment. The role emphasizes strong systems thinking, product judgment, thoroughness, and extensive but accountable use of AI.

Work directly with customers to design and build end-to-end data-driven solutions. Responsibilities include architecture, large-scale data wrangling, custom web app development, collaborating with technical and non-technical stakeholders, and traveling to client sites to deploy and iterate on high-impact projects.

Work onsite with customers to design and build data-driven solutions end-to-end. Responsibilities include architecture, data wrangling at scale, coding web apps, collaborating with technical and non-technical stakeholders, and traveling to client sites to deploy and iterate solutions.

Work directly with government customers to design and implement data-driven solutions, owning end-to-end projects. Tasks include architecture, data engineering, web app development, customer engagement, and deploying software onsite with travel.