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Rust Remote Jobs in Reston, VA (NOW HIRING)

VivSoft Technologies

Cloud Solutions Architect

Herndon, VA · Remote

$65 - $89/hr

Remote Clearance: Public Trust Type: Full-time, W2 About VivSoft: VivSoft is a mission-driven ... Python, Go, Rust, Ruby, PHP Desired Qualifications * Experience evaluating and integrating critical ...

SAIC

Software Systems Engineer Principal

Arlington, VA · On-site +1

TS/SCI Potential for Remote Work: ORA_HYBRID Description Join the Data Feed Integration (DFI) team ... Familiarity with additional programming or scripting languages such as Rust, Go (Golang), R, or ...

SAIC

Software Systems Engineer Principal

Arlington, VA · On-site +1

TS/SCI Potential for Remote Work: ORA_HYBRID Description Join the Data Feed Integration (DFI) team ... Familiarity with additional programming or scripting languages such as Rust, Go (Golang), R, or ...

Black Canyon Consulting

Platform DevEx Engineer

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote. NCBI is ... amounts of Golang and Rust. * A working knowledge of Linux systems and the command line

Booz Allen Hamilton

Systems Architect

Chantilly, VA · Remote

$248K/yr

Experience in languages such as C++, Go, or Rust, to optimize low-level hypervisor interactions ... Experience managing large-scale remote workstation clusters focused on high-availability and ...

Black Canyon Consulting

Platform Ops Lead

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

NCBI offers flexible working hours, remote options, on- and off-site training courses, and ... Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl

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What is a Rust Remote job?

A Rust Remote job is a position where developers work remotely using the Rust programming language. These roles typically involve building safe, concurrent, and high-performance applications, often in areas like system programming, blockchain, or web assembly. Remote Rust developers collaborate with teams using online tools, communicating through video calls, chat, and project management platforms. Companies hiring for these roles value Rust's memory safety and performance, often seeking developers with experience in asynchronous programming, networking, or embedded systems.

How to make $1000 a week remote?

A remote Rust developer can earn $1000 or more per week by working on freelance projects, contributing to open-source, or securing full-time remote positions that pay competitive salaries. Building strong skills in Rust, demonstrating a portfolio, and obtaining relevant certifications can increase earning potential. Consistent remote work often requires good communication and time management skills.

What are common challenges faced by Rust Remote developers, and how can they be addressed?

Rust Remote developers often encounter challenges such as navigating complex, low-level codebases, staying aligned with team members across different time zones, and maintaining productivity without in-person interaction. To address these, it’s important to leverage collaborative tools like Slack, GitHub, and video conferencing, and to establish clear communication and documentation practices. Regular code reviews and virtual stand-ups help ensure that everyone remains on the same page and that best practices are followed. Adopting effective time management and proactively seeking feedback can make remote work both productive and rewarding.

How to make $100,000 a year working from home?

A remote Rust developer can earn $100,000 or more annually by gaining strong programming skills, building a portfolio of projects, and working for companies that offer competitive salaries. Increasing experience, obtaining relevant certifications, and contributing to open-source projects can also enhance earning potential. Many remote roles require proficiency in tools like Git and knowledge of best coding practices.

Does Rust pay well?

Rust developers often earn competitive salaries due to the language's growing popularity in systems programming, security, and performance-critical applications. Salaries can vary based on experience, location, and industry, but skilled Rust programmers are generally well-compensated compared to many other programming roles. Remote positions may also offer higher pay depending on the employer and market demand.

What are the key skills and qualifications needed to thrive in the Rust Remote position, and why are they important?

To thrive as a Rust Remote developer, you need strong proficiency in Rust programming, software engineering fundamentals, and experience with concurrent or systems-level projects. Familiarity with tools like Cargo, Git, CI/CD pipelines, and cloud platforms, as well as contributions to open-source Rust projects or relevant certifications, is highly valued. Excellent time management, independent problem-solving, and clear remote communication skills help you excel in distributed teams. These abilities ensure you can effectively deliver high-quality, reliable software solutions while collaborating remotely.

How can I make $2000 a week working from home?

A remote Rust developer can potentially earn $2000 or more per week by working on high-paying projects, freelance contracts, or through full-time employment with competitive salaries. Building strong skills in Rust, gaining experience with relevant tools, and establishing a solid portfolio or network can help access higher-paying opportunities. Consistent remote work, specialized expertise, and efficient time management are key factors in reaching this income level.
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Radio Frequency Software Engineer Lead - 1648

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 27 days ago

Job description


Clearance Level: Public Trust

US Citizenship: Required

Job Classification: Full Time

Location: Remote

Years of Experience: 7-10 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 Lead 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 Lead 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 7-10 years of experience, or a Master's with 5-7 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.


Clearance Level: Public Trust

US Citizenship: Required

Job Classification: Full Time

Location: Remote

Years of Experience: 7-10 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 Lead 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 Lead 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 7-10 years of experience, or a Master's with 5-7 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.

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