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Contract Robotic Simulation Engineer Jobs in Virginia

Molg

Senior Robotics Engineer

Sterling, VA · On-site

$103K - $142K/yr

Senior Robotics Engineer ABOUT US Hey! We're Molg 👋 We're building robotic systems that make ... robotic motion and grasp planning workflow software * Developing and expanding advance simulation ...

Soft Tech Consulting

Cloud Engineer (RPA)

Arlington, VA · On-site

$64.25 - $85.75/hr

... Engineer (RPA) for one of our government clients. This is an Intermediate level position with a ... The place of performance for this contract is in Arlington, VA. Responsibilities * Design, develop ...

Soft Tech Consulting

Cloud Engineer (RPA)

Arlington, VA

$64.25 - $85.75/hr

... Engineer (RPA) for one of our government clients. This is an Intermediate level position with a ... The place of performance for this contract is in Arlington, VA. Responsibilities * Design, develop ...

Soft Tech Consulting

Cloud Engineer (RPA)

Arlington, VA

$69 - $89.75/hr

... Engineer (RPA) for one of our government clients. This is an Intermediate level position with a ... The place of performance for this contract is in Arlington, VA. * Design, develop, test and deploy ...

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Contract Robotic Simulation Engineer information

What does a contract robotic simulation engineer do?

A Contract Robotic Simulation Engineer is responsible for designing, developing, and testing robotic systems using simulation software, typically on a temporary or project-based contract. They create virtual environments to model robot behavior, optimize workflows, and identify potential issues before physical implementation. This role often involves collaborating with engineers, programmers, and clients to ensure that robotic solutions meet project specifications. Contract engineers may work across various industries, such as manufacturing, automotive, or logistics, providing specialized expertise for specific projects. Their work helps reduce costs, improve efficiency, and minimize risks in robotic system deployment.

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

To thrive as a Contract Robotic Simulation Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with simulation modeling, often supported by a relevant engineering degree. Proficiency with tools like ROS (Robot Operating System), MATLAB/Simulink, and simulation platforms such as Gazebo or V-REP, as well as familiarity with programming languages like Python or C++, is typically required. Strong problem-solving skills, adaptability, and effective communication make someone stand out in this role, especially when collaborating with cross-functional teams or clients. These competencies are crucial for developing accurate robotic simulations, ensuring system reliability, and meeting project goals efficiently in a contract-based environment.

What are some common challenges faced by contract robotic simulation engineers when working with diverse client requirements?

Contract Robotic Simulation Engineers often need to adapt quickly to different simulation platforms, robot models, and client-specific workflows. Each client may have unique expectations, software environments, and integration needs, requiring strong problem-solving skills and flexibility. Balancing multiple projects, ensuring accurate simulation results, and communicating technical findings effectively with both technical and non-technical stakeholders are key challenges in this role. Collaborating closely with client teams and staying updated with the latest simulation tools can help overcome these obstacles and deliver successful project outcomes.

What is the difference between Contract Robotic Simulation Engineer vs Contract Automation Test Engineer?

AspectContract Robotic Simulation EngineerContract Automation Test Engineer
CredentialsEngineering degree, robotics or simulation certificationsEngineering or computer science degree, testing certifications
Work EnvironmentRobotics labs, simulation platforms, development teamsSoftware testing environments, QA teams, development labs
Industry UsageRobotics, manufacturing, researchSoftware development, quality assurance, tech companies

The Contract Robotic Simulation Engineer focuses on developing and testing robotic systems within simulation environments, often working closely with hardware and control algorithms. In contrast, the Contract Automation Test Engineer primarily designs and executes automated tests for software applications. While both roles require technical expertise and testing skills, the Robotic Simulation Engineer emphasizes robotics and simulation tools, whereas the Automation Test Engineer concentrates on software testing automation.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Virginia?

The most popular types of Robotic Simulation Engineer jobs in Virginia are:

What are popular job titles related to Contract Robotic Simulation Engineer jobs in Virginia?

For Contract Robotic Simulation Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Contract Robotic Simulation Engineer jobs in Virginia look for?

The top searched job categories for Contract Robotic Simulation Engineer jobs in Virginia are:

What cities in Virginia are hiring for Contract Robotic Simulation Engineer jobs?

Cities in Virginia with the most Contract Robotic Simulation Engineer job openings:

Contract Robotic Simulation Engineer jobs near you

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

Redwire Space

Chantilly, VA • On-site

$126K - $166K/yr

Full-time

Re-posted 4 days ago

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 amp; 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 amp; 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 amp; 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 amp; 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 amp; 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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