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Gpu Engineer Jobs in Virginia (NOW HIRING)

GRVTY

Expert ML Software Engineer

Springfield, VA · On-site

$150K - $165K/yr

Experience with GPU orchestration and scheduling on Kubernetes in shared or multi-tenant clusters - NVIDIA Run:ai, KAI Scheduler, Kueue, Volcano, or Slurm. * Expert experience of Cloud & CI/CD DevOps ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Develop scalable distributed training infrastructure using AWS services, including SageMaker and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming geospatial ...

SAIC

AI/ML Engineer

Chantilly, VA · Hybrid

$200K - $240K/yr

Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job ... Assess technical approaches for GPU cluster architecture, model training, and inference at scale

Phase2 Technology

AI/ML Engineer, Senior

Alexandria, VA · On-site

$99 - $225/hr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization of models in a classified environment * Experience with LLM orchestration, RAG pipelines, grounding ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air ... Requirements * 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence Community ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Springfield, VA · Hybrid

$99K - $225K/yr

Experiencein GPU programming, including CUDA or RAPIDs * ExperiencewithAWS and containerization of models in a classified environment * Experience with LLM orchestration, RAG pipelines, grounding, or ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air ... Requirements: * 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Alexandria, VA · Hybrid

$99K - $225K/yr

Experiencein GPU programming, including CUDA or RAPIDs * ExperiencewithAWS and containerization of models in a classified environment * Experience with LLM orchestration, RAG pipelines, grounding, or ...

Phase2 Technology

AI/ML Engineer, Senior

Springfield, VA · On-site

$99 - $225/hr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization of models in a classified environment * Experience with LLM orchestration, RAG pipelines, grounding ...

Booz Allen Hamilton

Senior AI/ML Engineer

Alexandria, VA · On-site

$99K - $225K/yr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization of models in a classified environment * Experience with LLM orchestration, RAG pipelines, grounding ...

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All JobsGpu Engineer JobsGpu Engineer Jobs in Virginia

Gpu Engineer information

See Virginia salary details

$38.7K

$100.9K

$136.3K

How much do gpu engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for gpu engineer in Virginia is $100,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,500.00 per year, depending on experience, location, and employer.

What does a GPU engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

What are the key skills and qualifications needed to thrive as a GPU engineer?

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What are some common challenges faced by GPU engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

How much does a GPU engineer make?

The average salary for a GPU engineer varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in graphics processing, parallel computing, or CUDA programming can earn higher salaries. Compensation may also include bonuses, stock options, and benefits based on the employer and geographic region.

What are popular job titles related to Gpu Engineer jobs in Virginia?

For Gpu Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Gpu Engineer jobs in Virginia look for?

The top searched job categories for Gpu Engineer jobs in Virginia are:

Gpu Engineer jobs near you
Infographic showing various Gpu Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $100,879 per year, or $48.5 per hour.

Senior Principal FPGA & Digital Signals Processing Engineer

Research Innovations

Alexandria, VA • On-site

$139K - $178K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Job description

Position Title: Senior Principal Field Programmable Gate Array & Digital Signal Processing Engineer

Location: Hybrid, in office in Alexandria, VA

Clearance Requirement: TS/SCI

Employment Type: Full Time

Research Innovations, Inc. (RII) is breaking through the big, slow status quo with transformative technology that fundamentally improves the world. We build advanced software solutions for government and military missions, applying agile development and user-centered design to solve complex, mission-critical problems.

Dragonfly is redefining tactical SIGINT and Electronic Warfare by combining advanced RF sensing, GPU-accelerated processing, artificial intelligence, and high-performance FPGA architectures into a portable, mission-ready platform. As the Principal FPGA & DSP Engineer, you will serve as the technical leader responsible for designing and delivering the next generation of real-time FPGA-based signal processing capabilities that enable rapid spectrum awareness, signal exploitation, and electronic warfare operations. Working closely with hardware, software, AI, and RF engineering teams, you will architect high-performance firmware solutions that transform advanced algorithms into deployable capabilities supporting the Department of Defense, Intelligence Community, and allied mission partners.

WHAT YOU WILL BE DOING

  • Lead the FPGA firmware architecture for Dragonfly, defining the optimal partitioning of signal processing across FPGA, GPU, and CPU to meet mission latency, throughput, and SWaP requirements.

  • Migrate GPU-based digital signal processing algorithms into efficient FPGA implementations, including floating-to-fixed point conversion, quantization analysis, word-length optimization, and bit-accurate verification.

  • Design reusable, portable FPGA IP that supports multiple AMD/Xilinx platforms including RFSoC, Versal, UltraScale+, and Zynq.

  • Develop real-time FPGA implementations for advanced RF signal processing including digital down conversion, filtering, FFTs, channelization, synchronization, demodulation, and protocol exploitation.

  • Implement and optimize wireless protocol processing for technologies such as Wi-Fi, Bluetooth/BLE, LoRa, LTE, and 5G NR.

  • Develop FPGA capabilities supporting direction finding (DF), beamforming, geolocation, and multi-channel phase-coherent signal processing.

  • Establish FPGA verification methodologies including simulation, automated regression testing, timing closure, hardware validation, and over-the-air testing.

  • Support hardware bring-up, integration, production validation, and field testing of Dragonfly systems.

  • Serve as the technical authority for FPGA firmware and DSP architecture, conducting design reviews, mentoring engineers, and establishing engineering best practices.

  • Contribute to product roadmap development, customer engagements, technical proposals, IRAD efforts, and emerging EW/SIGINT capability development.

WHAT YOU HAVE DONE

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field; Master's or PhD preferred.

  • 10+ years of FPGA development experience supporting RF, SDR, SIGINT, radar, wireless communications, or Electronic Warfare systems.

  • Demonstrated ownership of FPGA architecture from concept through deployed production systems.

  • Active Secret clearance required; ability to obtain or maintain TS/SCI preferred.

  • Expert proficiency with VHDL and/or SystemVerilog, RTL design, pipelining, finite state machines, clock domain crossing, and timing closure.

  • Extensive experience with AMD/Xilinx development tools including Vivado, Vitis, Vitis HLS, and RFSoC or Versal platforms.

  • Strong background in digital signal processing including FFTs, digital down/up conversion, FIR/IIR/CIC filters, multirate processing, fixed-point design, CORDIC, and AGC.

  • Experience implementing high-speed interfaces including AXI, PCIe, Ethernet, DDR memory, Aurora, and JESD204B/C.

  • Proficiency with MATLAB and/or Python for algorithm development and hardware verification, along with C/C++ development in Linux environments.

  • Experience with FPGA simulation, debugging, board bring-up, and RF laboratory validation using industry-standard tools.

  • Familiarity with Git, Agile development methodologies, and cross-functional hardware/software engineering teams.

EVEN BETTER

  • Experience developing CUDA or GPU-based DSP algorithms and migrating them to FPGA implementations.

  • Experience implementing beamforming, direction finding, geolocation, MUSIC/ESPRIT, TDOA, or FDOA algorithms.

  • Knowledge of LTE, 5G NR, Wi-Fi, Bluetooth/BLE, LoRa, or other modern communications waveforms.

  • Experience with High-Level Synthesis (HLS), Simulink, MATLAB HDL Coder, or Model Composer.

  • Familiarity with RFNoC, GNU Radio, OpenCPI, SOSA, or CMOSS architectures.

#LI-TC1

At RII, we believe that diversity in our workforce is critical to our success. We strive to hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes us stronger. We work to help your intellectual passions and creativity thrive. It's one of our core values: Let your geek flag fly.
 
We also offer all employees comprehensive benefits including: flexible work schedules, health insurance coverage, paid time off, 401k with a company match, paid parental leave, access to wellness programs and much more. You get this all from day one, and all paid for by RII.
 
It's all part of another of our core values: Stay human. It's why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities. It's why we have community ambassadors and regular community events.
 
Research Innovations Incorporated 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, disability, veteran status, or any other characteristic protected by applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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