Remote Amazon Dsp Driver Jobs in Springfield, VA

Remote Work:
No
Job Number:
R0241391
Location:
McLean,VA,US
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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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