2

Remote Robotic Simulation Engineer Jobs in Virginia

Mid-Senior Level Software Engineer

Alexandria, VA · Remote

$131.10K - $172.90K/yr

Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on ... This position is 100% remote! We're looking for a candidate who is a U.S. citizen and resides in ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Payload Subject Matter ... simulation results. • Assess Technology Readiness Levels (TRLs) and identify risks to program ...

... simulations using 3D tools such as PyTorch3D, Unity, or Unreal Engine to train computer vision ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

$49.50K - $56.90K/yr

MS Power Automate RPA, Richmond, VA, Remote need submissions you please review the below role, if ... Best competitive rateMicroSoft Power Automate RPA Programmer Analyst - Responsible for designing ...

next page

Showing results 1-20

Remote Robotic Simulation Engineer information

What are the key skills and qualifications needed to thrive as a Remote Robotic Simulation Engineer, and why are they important?

To thrive as a Remote Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a bachelor’s or master’s degree in a related field. Proficiency with simulation software such as Gazebo or ROS, familiarity with programming languages like Python or C++, and experience with 3D modeling tools are typically required. Strong problem-solving abilities, communication skills, and self-motivation are crucial for excelling in remote and collaborative environments. These skills ensure precise development, effective troubleshooting, and successful integration of robotic systems in virtual settings.

How does a Remote Robotic Simulation Engineer typically collaborate with cross-functional teams during project development?

As a Remote Robotic Simulation Engineer, you will work closely with mechanical, electrical, and software engineering teams to ensure accurate virtual representations of robotic systems. Collaboration often involves regular video meetings, shared simulation files, and joint troubleshooting sessions to validate robotic behaviors before deployment. Clear communication skills and familiarity with collaborative platforms are essential, as feedback and updates are exchanged frequently to meet project milestones. This remote structure allows for flexible work arrangements but also demands proactive engagement to stay aligned with team goals.

What is a Remote Robotic Simulation Engineer?

A Remote Robotic Simulation Engineer is a professional who designs, develops, and tests virtual models of robotic systems using simulation software, often while working from a remote location. Their work helps predict and improve the performance of robots before they are physically built, reducing costs and development time. These engineers collaborate with multidisciplinary teams to refine robot behaviors in simulated environments and may also troubleshoot or optimize robot algorithms. The role often requires strong skills in robotics, computer programming, and simulation tools like ROS, Gazebo, or MATLAB. Working remotely, they leverage digital communication tools to stay connected with their teams and projects.

What is the difference between Remote Robotic Simulation Engineer vs Remote Robotics Software Developer?

AspectRemote Robotic Simulation EngineerRemote Robotics Software Developer
CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related field; programming skills
Work EnvironmentPrimarily uses simulation platforms like Gazebo, V-REP; collaborates with engineers and researchersFocuses on developing robotics software, algorithms, and control systems; often involves coding and testing
Industry UsageCommon in research, testing, and validation of robotic systemsUsed in software development for robotics applications, automation, and product deployment

The main difference is that Remote Robotic Simulation Engineers focus on creating and testing virtual models of robots using simulation tools, while Remote Robotics Software Developers primarily write and optimize software for robotic systems. Both roles require programming skills and industry knowledge but serve different stages of robotic development.

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 job categories do people searching Remote Robotic Simulation Engineer jobs in Virginia look for? The top searched job categories for Remote Robotic Simulation Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Robotic Simulation Engineer jobs? Cities in Virginia with the most Remote Robotic Simulation Engineer job openings:
RF Software Engineer, Senior - 1647

RF Software Engineer, Senior - 1647

Global Infotek, Inc.

Reston, VA • On-site, Remote

$127.40K - $168K/yr

Other

Posted 7 days ago


Job description

Clearance Level:Public Trust
ship:Required
Job Classification:Full Time
Location:Remote
Years of Experience:5 7 years of relevant experience
Education Level:BS Degree experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Senior RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Senior RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly
Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor s (or equivalent) with 5 7 years of experience, or a Master s with 3 5 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team
Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing
Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)
Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation s pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.