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Robotics Simulation Jobs in Washington, DC (NOW HIRING)

MOLG Inc.

Senior Robotics Engineer

Sterling, VA · On-site

$103K - $142K/yr

Molg builds robotics microfactories and software to autonomously assemble and disassemble complex ... Developing and expanding advance simulation and motion planning capabilities * Collaborating with ...

MOLG Inc.

Junior Robotics Engineer

Sterling, VA · On-site

Molg builds robotics microfactories and software to autonomously assemble and disassemble complex ... Delivering simulations and scenarios related to customer demonstrations and deployments

Liquid Robotics

Senior Verification Engineer

Jessup, MD

$104K - $144K/yr

Senior Verification Engineer Liquid Robotics is seeking a Senior Verification Engineer to own test ... and simulation/testbenches as needed. * Collaborate with Systems Engineering, design teams, and ...

Liquid Robotics

Mechanical Engineering Manager

Jessup, MD · Hybrid

$107K - $147K/yr

Mechanical Engineering Manager Liquid Robotics is seeking a Mechanical Engineering Manager to lead ... simulation software. * Familiarity with PLM and other product life-cycle tools such as Arena, JIRA ...

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All JobsRobotics Simulation JobsRobotics Simulation Jobs in Washington, DC

Robotics Simulation information

See Washington, DC salary details

$12.5K

$76.6K

$137.6K

How much do robotics simulation jobs pay per year?

As of Sep 5, 2026, the average yearly pay for robotics simulation in Washington, DC is $76,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $90,000.00 per year, depending on experience, location, and employer.

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What are the key skills and qualifications needed to thrive as a robotics simulation engineer?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are popular job titles related to Robotics Simulation jobs in Washington, DC?

For Robotics Simulation jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Robotics Simulation jobs in Washington, DC look for?

The top searched job categories for Robotics Simulation jobs in Washington, DC are:

Robotics Simulation jobs near you

Software Engineer, Agentic Modeling & Simulation (Systems Engineer, Sr)

Redwire Space

Chantilly, VA • On-site

$93K/yr

Full-time

Re-posted 21 days ago

Key responsibilities

  • Build and integrate AI agents, autonomous workflows, and LLM-driven decision systems into backend architectures.

  • Design and implement high-performance backend services, real-time processing pipelines, and APIs.

  • Collaborate with engineering teams to define integration boundaries and support secure, reliable operations.

Job description

Redwire is an innovative space and defense technology company driving advanced capabilities across the aerospace sector. We are looking for a leader who can contribute to concept of operations development, mission solution design, and strategic analysis for spacecraft programs supporting National Security Space. This includes work spanning space domain awareness, space resiliency, mission autonomy, structures, sensors, and next-generation space systems.
The AI/ML Engineer designs, builds, and scales the backend, data, and computational infrastructure that powers intelligent agents, autonomous workflows, and AI-driven decision systems. This role blends high-performance backend engineering, graph-centric data modeling, real-time processing, and secure API design with emerging agentic architectures. You will work across simulation, data, and systems engineering teams to deliver intelligent, reliable, and mission-aligned agentic capabilities supporting aerospace, defense, and other high-integrity environments.
Major Responsibilities
  • Develop agentic system capabilities - Build and integrate AI agents, autonomous workflows, and LLM-driven decision systems into backend architectures.
  • Design high-performance backend services - Implement low-latency, high-throughput services in Python, C++, or Rust.
  • Architect real-time processing pipelines - Build deterministic, concurrent, or multi-threaded pipelines for real-time agentic decision loops.
  • Develop and govern data-access layers - Implement indexing, query optimization, and data-model governance for evolving knowledge domains.
  • Build and optimize APIs - Design REST, GraphQL, and gRPC interfaces with strong schema governance and versioning.
  • Integrate graph-centric data systems - Model agent memory, context graphs, and reasoning structures using graph databases.
  • Ensure reliability and observability - Implement logging, metrics, tracing, error handling, and automated testing.
  • Collaborate across engineering domains - Work with systems engineers, simulation experts, analysts, and DevOps to define clean integration boundaries.
  • Support secure and compliant operations - Apply authentication, authorization, secrets management, and secure-by-design principles.

Ideal Experience
  • STEM foundation - Bachelor's degree in CS, Engineering, Mathematics, or related field, or equivalent experience.
  • Backend & systems engineering - 1-5 years building backend systems, distributed services, or data-driven pipelines.
  • High-performance programming - Proficiency in Python, C++, or Rust for low-latency or high-throughput systems.
  • Agentic system integration - Experience integrating AI agents, autonomous workflows, or LLM-based decision systems.
  • Graph-centric data modeling - Experience with Neo4j, DGraph, ArangoDB, or similar technologies.
  • Database schema & modeling - Experience with relational, graph, and document databases.
  • Real-time processing - Experience with concurrent, deterministic, or multi-threaded pipelines.
  • High-throughput data APIs - Experience with streaming systems and binary transport formats.
  • Networking & data transport - Expertise with UDP/TCP, Pub/Sub, and distributed messaging.
  • GPU-accelerated computation - Understanding of CUDA, GPU kernels, or heterogeneous compute architectures.
  • API design expertise - Experience designing REST, GraphQL, and gRPC APIs.
  • Microservice architectures - Familiarity with containerized deployments and service-to-service patterns.
  • CI/CD integration - Experience integrating backend services into CI/CD pipelines.
  • Service reliability fundamentals - Observability, error handling, contract validation, and automated testing.
  • API & data security - Strong understanding of authentication, authorization, and secure data-access patterns.
  • Engineering rigor - Experience working in aerospace/defense or other high-integrity environments.
  • Security eligibility - U.S. Citizen; able to obtain and maintain a DoD Secret clearance (TS/SCI preferred).

Desired Skills
  • Multi-protocol API development - REST, gRPC, SOAP, GraphQL.
  • Agent-oriented data structures - Modeling agent memory, context graphs, or reasoning chains.
  • HPC-adjacent workflows - Simulation data, scientific computation, or data-dense analytics.
  • Simulation & modeling systems - Integrating AI agents with simulation engines or digital-engineering tools.
  • Distributed computation frameworks - Job orchestration, distributed compute, or Monte Carlo automation.
  • High-rate data processing - Optimizing ingestion and processing for high-rate sensor or telemetry data.
  • Regulated industry exposure - Aerospace, defense, robotics, or similar domains.
  • Internal tooling development - Tools or libraries used across engineering teams.
  • Cross-functional collaboration - Work with systems engineers, analysts, simulation experts, and product teams.
  • Open-source contributions - Contributions to backend frameworks, agent libraries, or data-modeling tools.

Pay range
$93,000 - $150,000 per year
Grow with us as we innovate the next generation capabilities for a new era of space exploration! We offer a highly competitive benefits package along with a commitment to our core values of Integrity, Innovation, Impact, Inclusion, and Excellence.
Don't meet every single requirement above? No worries. We want people who can grow, collaborate and build a stronger team. We strive to build a diverse and inclusive culture, so if you're excited about this job posting, we encourage you to apply. You may be just the right candidate for this or other roles.
Redwire Space is an Equal Opportunity Employer; employment with MIS is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
All offers of employment at Redwire Space are contingent upon clear results of a thorough background check.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the Click Here

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