Top Entry Level Software Engineer Jobs in Washington, DC

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 automated tests, validation tools, regression and performance testing workflows for autonomy software. Support SIL, HIL, VIL, simulation, laboratory, and hardware testing; analyze results, debug integration issues, create quality metrics and readiness reports, and integrate testing into CI/CD pipelines. Collaborate with autonomy, systems, flight-test, and integration teams working with robotic platforms, sensors, flight controllers, networking equipment, and mission computers.

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.

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.

Build internal software and AI-powered systems that connect Product, Engineering, Sales, Marketing, Programs, and Operations. Responsibilities include integrating SaaS tools, APIs, databases, LLMs, and AI agents; automating workflows; creating systems that translate product specifications into engineering work; maintaining synchronized documentation; supporting controlled government proposal workflows; and improving how employees and agents collaborate.

Design and implement cloud-native backend systems for federal customers enabling agentic AI capabilities. Build data pipelines, optimize retrieval, create guardrails and agent orchestration, define requirements with stakeholders, and participate in customer engagements to deliver secure production features.