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Part Time Remote Embedded Software Jobs in Gaithersburg, MD

Software Architect

Chantilly, VA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0234006 Location: Chantilly,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Chantilly, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0242465 Location: Chantilly,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0243148 Location: Arlington,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0243541 Location: Arlington,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0243537 Location: Arlington,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0243147 Location: Arlington,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer, Mid

Herndon, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0244638 Location: Herndon,VA,US Share job via: Share Software Engineer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Remote Work: Hybrid Job Number: R0243267 Location: McLean,VA,US Share job via: Share Software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Part Time Remote Embedded Software information

See Gaithersburg, MD salary details

$75.6K

$165.7K

$188K

How much do part time remote embedded software jobs pay per year?

As of Jul 20, 2026, the average yearly pay for part time remote embedded software in Gaithersburg, MD is $165,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $186,900.00 per year, depending on experience, location, and employer.

How do part-time remote embedded software engineers typically collaborate with hardware teams to ensure seamless integration?

Part-time remote embedded software engineers often use a mix of video conferencing, shared documentation platforms, and version control systems to closely collaborate with hardware teams. Regular check-ins and clear communication are crucial for aligning software development cycles with hardware prototyping and testing schedules. Despite the remote nature, being proactive in asking questions and sharing build updates helps prevent integration issues and ensures that software is optimized for the target hardware. Many teams also rely on simulation tools and remote access to test benches to facilitate hands-on collaboration even from a distance.

What are part time remote embedded software jobs?

Part time remote embedded software jobs involve developing, testing, and maintaining software that runs on embedded systems, such as microcontrollers or specialized hardware, while working fewer than full-time hours and from a remote location. Responsibilities typically include writing code in languages like C or C++, debugging embedded systems, and collaborating with team members online. These roles are popular among professionals seeking flexible work schedules or balancing other commitments. Companies may hire part time remote embedded software engineers for specific projects, ongoing maintenance, or to supplement in-house teams. Remote work requires strong communication skills and experience with collaborative development tools.

What are the key skills and qualifications needed to thrive as a Part Time Remote Embedded Software Engineer, and why are they important?

To thrive as a Part Time Remote Embedded Software Engineer, you need a solid understanding of embedded systems, C/C++ programming, and real-time operating systems, often backed by a degree in computer engineering or a related field. Familiarity with version control systems like Git, debugging tools, and microcontroller development kits is typically required. Excellent time management, problem-solving ability, and strong written communication are crucial for effective remote collaboration and project delivery. These skills ensure high-quality software development, efficient teamwork, and the ability to meet project goals independently in a remote environment.
What are popular job titles related to Part Time Remote Embedded Software jobs in Gaithersburg, MD? For Part Time Remote Embedded Software jobs in Gaithersburg, MD, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Embedded Software jobs in Gaithersburg, MD look for? The top searched job categories for Part Time Remote Embedded Software jobs in Gaithersburg, MD are:
What cities near Gaithersburg, MD are hiring for Part Time Remote Embedded Software jobs? Cities near Gaithersburg, MD with the most Part Time Remote Embedded Software job openings:
Infographic showing various Part Time Remote Embedded Software job openings in Gaithersburg, MD as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $165,723 per year, or $79.7 per hour.
Embedded FPGA Engineer

Embedded FPGA Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
No
Job Number:
R0241391
Location:
McLean,VA,US
Share job via:
Share
Embedded FPGA Engineer
The Opportunity:
We are seeking a motivated FPGA, and software engineer to support the development, optimization, and deployment of digital signal processing (DSP) functions on a SOSA/VPX system. As a member of our engineering team, you will be responsible for designing, implementing, and validating system components. You will contribute to building Rf signal processing applications on an embedded platform and with cutting edge FPGAs. As an FPGA developer, you should be comfortable with traditional processes such as writing HDL, using Vitis HLS. Additionally, you should be willing to learn new development acceleration tools that are outside of the traditional workflow. This role is ideal if you are an individual who demonstrates independence and excels as a self-guided learner and are able to proactively acquire new skills and knowledge. The ideal candidate is comfortable working both collaboratively within a diverse, cross-functional team and as an individual contributor, taking initiative and ownership of their tasks. Adaptability, strong communication, and a willingness to share expertise are essential for success in this dynamic environment.
What You Will Do:
  • Design and implement FPGA-based DSP systems using, HDL, Vitis HLS and modern FPGA toolchains
  • Develop and optimize DSP algorithms including filtering, detection, synchronization, modulation and demodulation, transforms into high-throughput, resource-efficient hardware blocks
  • Collaborate with cross-functional teams to integrate FPGA designs with software, firmware, and larger system architectures
  • Test, verify, and validate FPGA designs, ensuring functional correctness, stability, and performance under real-time constraints
  • Optimize designs for timing, area, power, and throughput using HLS directives and traditional FPGA workflows
  • Develop reusable hardware IP blocks, enabling scalable DSP pipelines and accelerating future development
  • Maintain documentation, including design notes, block diagrams, interface definitions, user guides, and workflow references
  • Contribute to innovation, identifying new techniques and technologies that improve FPGA development efficiency, DSP performance, or overall system capability

Join us. The world can't wait.
You Have:
  • 3+ years of experience developing FPGA or SDR solutions
  • Experience with Python, C++ Embedded, MATLAB, or languages used for modeling DSP algorithms
  • Experience using Agile processes and tools, including Jira or confluence
  • Experience with FPGA design using Verilog, VHDL, SystemVerilog, or HLS along with evaluation tools such as simulation, synthesis, fitting, timing analysis, implementation, and debug
  • Experience with Xilinx, Vitis, Vivado or FPGA development ecosystems and scripting such as tcl
  • Experience with Linux/UNIX development environments and scripting languages.
  • Knowledge of digital design fundamentals, streaming architectures, pipelining, buffering, and data-path timing
  • Ability to read hardware schematics and work with lab equipment, including logic analyzers, oscilloscopes, and spectrum analyzers
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree in an Electrical Engineering or Computer Engineering field

Nice If You Have:
  • Experience implementing or prototyping DSP algorithms in hardware
  • Experience with SOSA/VPX systems
  • Experience developing HLS-friendly algorithms and optimizing C/C++ code for hardware translation
  • Experience with porting and adapting vendor RF transceiver reference designs, such as RTL, IP cores, and drivers, to FPGA evaluation boards and custom platforms
  • Experience with RF testing
  • Experience with high-speed digital interfaces, such as AXI-Stream, AXI-Lite, DMA, and custom streaming buses
  • Experience with GPU acceleration, parallel computing, or high-bandwidth data processing
  • Experience gathering requirements, shaping development roadmaps, or supporting Agile workflows
  • Experience with modern agentic engineering workflows, including AI-driven automation for FPGA design, simulation, synthesis, or testing
  • Master's degree in Electrical Engineering, Computer Engineering, or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914