Top Entry Level Software Engineer Jobs

Design, implement, test, and maintain resilient network software for teleoperated UGV swarms. Build low-latency video streaming and command-and-control systems, redundant connectivity and hot failover across mesh radios, satellite, and 5G networks, secure VPN solutions, and performance monitoring for throughput and latency. The role requires C++ or Python, Linux networking expertise, and collaboration in an onsite defense startup environment.

Develop, test, deploy, and operate integrated software and supporting infrastructure. Build APIs and integrations with internal and third-party services, collaborate with cross-functional stakeholders, research innovative technologies, and support systems engineering, integration, testing, deployment, and operations for defense and intelligence applications.

Develops real-time cloud processing solutions, signal processing and geolocation algorithms, user interfaces, and data visualization tools. Responsibilities include software design, testing with real data, integration, deployment, operations and maintenance, and delivering applications to defense and intelligence customers. The role requires independent problem-solving and collaboration across software, systems engineering, integration, and testing disciplines.

Designs and develops real-time cloud software, signal processing and geolocation algorithms, user interfaces, and data visualization tools for national security applications. Responsibilities include testing with real data, systems integration, deployment, operations and maintenance, and collaboration across engineering disciplines. The role requires independent initiative and may involve direct customer mission support.

Define architecture and engineering standards while delivering distributed Node.js services, AI agent workflows, and enterprise integrations. Own solutions end to end, including quality, reliability, observability, infrastructure as code, retrieval systems, and production-scale backend platforms. Build agentic and retrieval-augmented workflows that reason over enterprise data and execute actions within customized SAP environments.

Build and support internal dashboards, web applications, APIs, integrations, and data workflows. Develop front-end and back-end features, design relational databases, troubleshoot failures, write tests, deploy safely, monitor production systems, and document recovery procedures. Use AI coding assistants responsibly, review generated code, protect sensitive information, and support operational users. The role requires full ownership from incomplete requirements through implementation, release, maintenance, and verified handoff while working onsite in Winter Park five days per week.

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.

Design, build, and operate distributed infrastructure for large-scale AI model training and inference. Responsibilities include orchestration, scheduling, storage, resource management, reliability, observability, distributed failure debugging, and developing internal Python and Go libraries and APIs. The role partners with researchers and platform engineers and supports infrastructure operating across thousands of accelerators.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Designs, develops, tests, documents, delivers, and maintains ControlST and related Windows software applications and services. Responsibilities include requirements analysis, coding, debugging, performance and reliability improvements, code reviews, customer issue resolution, software lifecycle support, and collaboration with system engineers, product teams, vendors, and business stakeholders. The role applies Agile, CI, security, scalability, testing, and software engineering practices.

Build and ship polished, high-performance interfaces for the Codex desktop app and IDE extension. Partner with design to develop interaction models for AI-agent workflows, including delegation, timelines, progress, handoffs, review, and controls. Own frontend architecture, component systems, state management, navigation, rendering performance, testing, instrumentation, and reliability while collaborating with platform, model, and backend teams.

Develop and own software components for ground and space systems; design, implement, test, and monitor code; perform analysis; learn new technologies quickly; communicate clearly and deliver work on time.

Develop and maintain GUIs, dashboards, AWS applications, automated workflows, and AI/ML integrations. Responsibilities include coding, testing, debugging, software integration, requirements analysis, database querying, documentation, and process improvement. The role requires collaboration throughout the software development lifecycle and a current active TS/SCI clearance with a Maryland polygraph.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

Develops and maintains custom applications and database solutions in a technical manufacturing environment. Responsibilities include requirements gathering, software design, coding, testing, deployment, documentation, code reviews, user training, application support, and participation in Agile stand-ups. The role collaborates with Engineering, Operations, and Project Management and uses C#, .NET, Visual Studio, and SQL Server.

Design and develop scalable Python systems while applying SRE principles to improve reliability, security, and performance. Responsibilities include monitoring, alerting, automated recovery, SLI/SLO measurement, chaos engineering, performance testing with JMeter, incident response, root cause analysis, and production troubleshooting. The role collaborates with product teams, contributes to architecture and engineering practices, and maintains high-quality, resilient software.

Build software, automation, observability, and telemetry systems for a large-scale global enterprise network. Define and measure reliability targets, replace manual operational processes with code, improve incident detection and recovery, support a resilient global DMZ, and codify disaster recovery across regions.

Design, develop, test, debug, integrate, and maintain complex mission software systems. Analyze requirements, create software solutions, develop database interfaces, resolve defects, document systems, and collaborate with systems and hardware engineers. Senior-level positions additionally provide technical leadership and oversee software development quality.

Designs software solutions for satellite missions by aligning customer needs with Muon’s architecture and roadmap. Guides mission software projects, product roadmaps, architectural standards, security, reliability, performance, deployment strategy, and customer engagements. Supports engineering escalations, organizational planning, and training. Requires broad expertise in software engineering, distributed systems, aerospace or robotics, multiple programming languages, and whole-system design.

Design, implement, test, and operate features for Temporal’s open-source distributed workflow server. The role focuses on backend systems, task processing, scheduling, persistence, visibility, reliability, performance, observability, and developer experience. The engineer will collaborate across teams, participate in design and code reviews, improve documentation and operational tooling, and contribute to a complex open-source codebase while developing distributed systems expertise.

Build and operate software and AI tools supporting research into fault-tolerant neutral atom quantum computing architectures. Collaborate closely with a tight-knit team to design and develop systems for the company’s quantum computer. Prior quantum computing experience is not required, and candidates at all experience levels are welcome.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Develop and evolve TrustRadius's website across the full stack, contributing to requirements, design, implementation, testing, documentation, internationalization, and deployment. The engineer will work with front-end and back-end technologies, build scalable and reliable web applications, support rapid iteration, and use data-driven decision-making in a collaborative product development environment.

Supports customers by investigating complex software issues, managing release expectations, tracking software quality, validating enhancements, and coordinating requirements with engineering teams. Develops field and software readiness checklists, creates training programs, trains junior engineers, participates in root-cause reviews, and documents activities. Requires strong prioritization, communication, teamwork, self-management, and experience with Applied Materials equipment.

Supports customers with complex software issues, software releases, systemic bugs, and product-quality improvements. Coordinates with engineering and testing teams, tracks software performance at customer sites, validates enhancements, analyzes requirements, and supports new product readiness. Develops and delivers software and product-operation training for field, laboratory, manufacturing, and junior engineering staff. Participates in root-cause reviews, documents activities, prioritizes work, and manages multiple customer and internal initiatives.