1

Fpga Deep Learning Jobs in Virginia (NOW HIRING)

Hardware Engineering Manager

Ashburn, VA ยท On-site

$144.10 - $195/hr

  • Medical

  • Retirement

  • PTO

The ideal candidate brings deep expertise in electronic components, integrated circuitry ... Learning and Development Opportunities * Referral Program * Competitive Pay * Recognition

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Evaluate and recommend computational architectures (CPU, DSP, FPGA, or hybrid) best suited to ... STR is committed to creating a collaborative learning environment that supports deep technical ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Principal Hardware Engineer

Ashburn, VA

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Lead Embedded Software Architect

Arlington, VA ยท On-site

$174K - $225K/yr

Evaluate and recommend computational architectures (CPU, DSP, FPGA, or hybrid) best suited to ... STR is committed to creating a collaborative learning environment that supports deep technical ...

Principal Hardware Engineer

Ashburn, VA ยท On-site

$144K - $190K/yr

  • Medical

  • Retirement

  • PTO

... SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor ... The ideal candidate brings deep expertise in electronic components, integrated circuitry ...

Lead Embedded Software Architect

Arlington, VA ยท On-site

$174K - $225K/yr

Evaluate and recommend computational architectures (CPU, DSP, FPGA, or hybrid) best suited to ... STR is committed to creating a collaborative learning environment that supports deep technical ...

next page

Showing results 1-20

Fpga Deep Learning information

See Virginia salary details

$69.4K

$145.8K

$208.7K

How much do fpga deep learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for fpga deep learning in Virginia is $145,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $168,000.00 per year, depending on experience, location, and employer.

What is an FPGA Deep Learning engineer?

FPGA Deep Learning engineers are professionals who design, implement, and optimize deep learning models to run efficiently on Field-Programmable Gate Arrays (FPGAs). FPGAs are specialized hardware chips that can be programmed to perform specific computational tasks at high speeds and low power consumption. These engineers bridge the gap between artificial intelligence algorithms and hardware, ensuring that neural networks and AI applications can leverage FPGA advantages such as parallelism and flexibility. Their work is crucial in industries requiring real-time data processing, like autonomous vehicles, robotics, and edge computing.

What is the difference between Fpga Deep Learning vs Machine Learning Engineer?

AspectFpga Deep LearningMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, EE, or related; knowledge of FPGA programming and deep learning frameworksBachelor's or higher in CS, Data Science, or related; expertise in ML algorithms and software development
Work EnvironmentHardware-focused, embedded systems, FPGA development labsSoftware-focused, data centers, cloud platforms, or research labs
Industry UsageEmbedded AI, edge computing, specialized hardware accelerationData analysis, predictive modeling, software solutions across industries

While both roles involve AI and machine learning, Fpga Deep Learning specialists focus on hardware acceleration using FPGAs to optimize deep learning models, whereas Machine Learning Engineers develop and deploy ML algorithms primarily in software environments. The roles often overlap in AI projects but differ in technical focus and work environment.

What are the key skills and qualifications needed to thrive as an FPGA Deep Learning engineer?

To thrive as an FPGA Deep Learning Engineer, you need a solid background in digital design, hardware description languages (such as VHDL or Verilog), deep learning frameworks, and a relevant degree in electrical engineering, computer engineering, or a similar field. Familiarity with FPGA development tools (like Xilinx Vivado or Intel Quartus), hardware accelerators, and experience with deploying neural networks on embedded systems are typically required. Problem-solving ability, attention to detail, and strong collaboration skills are key soft skills that make a candidate stand out. These skills and qualities are essential for efficiently bridging the gap between AI algorithms and hardware implementations, ensuring high-performance, reliable solutions.

How do professionals in FPGA Deep Learning roles typically collaborate with software and data science teams?

FPGA Deep Learning professionals often work closely with software engineers and data scientists to optimize deep learning models for hardware acceleration. This collaboration involves translating neural network architectures from high-level frameworks (like TensorFlow or PyTorch) into efficient hardware implementations, communicating constraints or opportunities for parallelization, and iteratively refining models for performance. Regular meetings and code reviews are common to ensure alignment between hardware and software development. Effective communication and understanding of both domains are essential for successfully deploying deep learning solutions on FPGA platforms.

What job categories do people searching Fpga Deep Learning jobs in Virginia look for?

The top searched job categories for Fpga Deep Learning jobs in Virginia are:

What cities in Virginia are hiring for Fpga Deep Learning jobs?

Cities in Virginia with the most Fpga Deep Learning job openings:

Hardware Engineering Manager

SwiftCruit

Ashburn, VA โ€ข On-site

$144.10 - $195/hr

Other

Medical, Retirement, PTO

Posted 12 days ago


Job description

Hardware Engineering Manager

Curtiss-Wright Defense Solutions is seeking an experienced Hardware Engineering Manager to lead a team of highly skilled hardware engineers responsible for the design, development, and production of advanced embedded computing and electronic systems for mission-critical defense applications.

The successful candidate will provide technical leadership and people management for multidisciplinary hardware engineering teams developing complex electronic solutions, including single board computers (SBC), FPGA, switch, and input/output cards in 3U and 6U VPX form factors; and custom form-factor systems incorporating software, firmware, and hardware security elements. The ideal candidate brings deep expertise in electronic components, integrated circuitry, mechanical systems, and DSP systems, and has a proven track record of solving complex technical challenges across design, testing, and production phases.

This role requires a strong technical leader with extensive experience in high-reliability defense electronics, the ability to guide complex hardware development programs, and a passion for mentoring engineers while delivering innovative solutions to demanding customer requirements.

Location:

Ashburn, VA

Salary Range:

$144,100.00 - $195,000.00 per year plus bonus

Please note that the salary range information provided is a general guideline only, reflecting a position based in Virginia. Criteria such as the candidateโ€™s qualifications and relevant experience, the scope of the specific position, as well as market and business considerations will be evaluated when extending an offer.

We Take Care of Our People
  • Paid Time Off
  • 401K with Employer Match and Profit Sharing
  • Health and Wellness Benefits
  • Learning and Development Opportunities
  • Referral Program
  • Competitive Pay
  • Recognition
  • Employee Stock Purchase Plan
  • Inclusive & Supportive Culture
Your Challenge
  • Lead, mentor, and develop a team of hardware engineers responsible for the design and delivery of advanced defense electronics products.
  • Provide technical direction and oversight for complex hardware development activities, including architecture, design, verification, qualification, and production support.
  • Oversee the development of 3U and 6U VPX-based systems, including SBC, FPGA, switch, I/O, power, and high-speed digital/analog designs.
  • Drive engineering execution by establishing priorities, managing resources, and ensuring programs meet technical, cost, quality, and schedule objectives.
  • Collaborate closely with systems engineering, software/firmware, program management, manufacturing, quality, and customers to translate requirements into robust hardware solutions.
  • Review and approve hardware architectures, schematics, PCB layouts, design documentation, and verification strategies.
  • Promote engineering best practices, design standards, process improvements, and continuous improvement initiatives.
  • Support technical proposals, customer discussions, and new business opportunities by providing hardware expertise and technical solutions.
  • Develop and maintain a strong engineering organization through coaching, mentoring, performance management, and talent development.
  • Ensure compliance with defense industry standards, reliability requirements, and customer expectations.
What you Bring
  • Bachelorโ€™s degree in Electrical Engineering required; Masterโ€™s degree preferred.
  • Minimum 15 years of experience in DoD embedded systems and hardware design (SBC, FPGA, switch, and I/O cards up to 100 GHz); 20+ years preferred.
  • 5+ years of technical leadership or engineering management experience preferred.
  • Extensive experience designing complex embedded electronic systems, including SBC, FPGA, switch, I/O, and VPX-based architectures.
  • Strong background in mixed-signal, high-speed digital, analog, power electronics, and thermal management design.
  • Experience with high-density PCB design, including 26+ layers HDI boards, Multilamination, blind/buried vias, and uVia structures.
  • Handsโ€‘on experience with Siemens Expedition DX Designer schematic and PCB tools.
  • Proven ability to lead technical teams, resolve complex engineering challenges, and deliver results in scheduleโ€‘driven environments.
  • Strong communication, collaboration, and leadership skills.
  • Experience working with DoD programs and defense customers preferred.
  • U.S. Citizenship required; active DoD security clearance preferred.
Who We Are

Our Values

Environmental, Social and Governance

Curtissโ€‘Wright's Defense Solution division is a trusted, proven leader, delivering superior products and services that meet the defense and aerospace industries' toughest challenges with bestโ€‘inโ€‘class value. Our solutions address air, ground, and naval defense applications, and are focused on growth segments with a high demand for advanced technology, enhanced safety, security, and performance. As a leading Modular Open Systems Approach (MOSA) solutions supplier for battlefield platforms and communication systems, we are uniquely positioned to benefit from the DoD's commitment to maintaining technological superiority on the battlefield.

Compliance Statement

This position may require exposure to export-controlled information and subject to additional security screening. In the event information provided during the security screening reveals ineligibility to access export-controlled information, any offer of employment may be reconsidered or withdrawn.

Curtissโ€‘Wright is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, sexual orientation, gender identity, physical or mental disability, age, ancestry, legally protected medical condition, family care status, marital status, religion, veteran status, national origin, or any other legally protected status.

#J-18808-Ljbffr