Top Entry Level Software Engineer Jobs in Washington, DC

Build and deploy data-driven software solutions directly with customers. Responsibilities include understanding complex operational problems, designing architectures, wrangling large-scale data, coding custom web applications, collaborating with technical and non-technical teams, engaging customer executives, and owning high-stakes projects end to end with minimal supervision.

Build frontend and backend features, data integrations, and AI workflows for legal casework. Collaborate directly with lawyers and legal engineers to understand needs, ship dependable software, troubleshoot usage, and improve products through feedback. Responsibilities include handling sensitive case information, testing software, investigating AI-generated output, and developing reusable solutions across legal teams.

Build and deploy full-stack applications in secure environments for military decision-support missions. Develop fast, auditable backend microservices and message-driven workflows using Go, Java, or Python, alongside React and TypeScript interfaces with comparative and geospatial visualizations. Collaborate with architects, designers, product managers, and subject-matter experts; tune performance, implement automated testing, document work, and support secure delivery pipelines.

Leads enterprise software architecture, development, testing, modernization, and secure delivery. Establishes development standards and frameworks while building scalable applications across air-gapped, hybrid, and on-premises environments. Designs AI and GenAI solutions, data architectures, ETL pipelines, cross-domain integrations, and distributed systems using modern application technologies. Provides technical leadership for secure, interoperable, high-performing solutions involving AI orchestration, databases, containers, and enterprise infrastructure.

Develop Python-based automated tests, validation tools, analysis utilities, and quality metrics for autonomous systems. Support testing across simulation, SIL, HIL, VIL, laboratory, and hardware environments. Analyze results, debug integration issues, improve regression and performance testing, integrate tests into CI/CD workflows, and collaborate with autonomy, systems engineering, flight test, and integration teams.

Develop Python-based automated testing, simulation analysis, log-processing, scenario-generation, and domain-randomization tools for the Hivemind Platform. Support test orchestration, distributed simulation, containerized environments, CI/CD, build troubleshooting, and technical documentation. Investigate failures using logs, telemetry, rosbags, network captures, and test results while collaborating with autonomy, systems, and platform engineers.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Join Palantir Production Infrastructure to build and operate large-scale platforms (Rubix, Apollo) and core deployment, observability, and Kubernetes-based PaaS tooling. Own full product lifecycle, collaborate with cross-functional teams, and deploy software supporting civil and defense customers while learning from a paired mentor.

Build and ship scalable software for Palantir Gotham across the full product lifecycle. Collaborate with cross-functional teams, work directly with users to understand problems, and contribute high-quality code while paired with a mentor. May involve field visits to customers to learn mission needs.

Forward Deployed Software Engineers at Palantir design and implement technical solutions for clients, addressing complex data-driven challenges while collaborating closely with users and continuously iterating on their solutions.

As a Forward Deployed Software Engineer, you will solve critical problems in federal health and civilian agencies, managing high-stakes projects with a strong focus on engineering principles and collaboration with customers.

Perform manual functional, regression, smoke, and exploratory testing for an enterprise application, validating role-based workflows, permissions, usability, accessibility, and release readiness. Document defects and reusable test cases, troubleshoot issues using browser tools, APIs, logs, and SQL, and maintain Azure DevOps evidence. Contribute targeted front-end fixes and enhancements using React, TypeScript, MUI, and TanStack Query while partnering with developers and stakeholders on quality and user-experience improvements.

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.

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.