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Fpga Deep Learning Jobs in Virginia (NOW HIRING)

Principal Hardware Engineer

Ashburn, VA · On-site

$144K - $190K/yr

... 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 · On-site

$144K - $190K/yr

... 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 ...

... 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 · On-site

$144K - $190K/yr

... 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 ...

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 Jul 27, 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 are FPGA Deep Learning engineers?

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, and why are they important?

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:
Principal Hardware Engineer

Principal Hardware Engineer

Curtiss-Wright

Ashburn, VA • On-site

$144K - $190K/yr

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Curtiss-Wright rating

8.4

Company rating: 8.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

98th of 486 rated machine equipment manufacturers


Job description

Principal Hardware Engineer - Onsite position
Curtiss Wright is expanding and has multiple openings for experienced Principal Hardware Engineer to join our Defense Solutions Group. This role involves planning, leading, and designing complex electrical boards, 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.
Location: Ashburn, VA, Boston, MA, Salem, NH
Salary Range: $144,100.00 - $190,000.00 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 candidate'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 I 401K with Employer Match and Profit Sharing I Health and Wellness Benefits I Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I Employee Stock Purchase Plan I Inclusive & Supportive Culture *
Your Challenge
  • Collaborate with engineering, project management, test, and operations teams in small, highly integrated, multidisciplinary teams to meet demanding, schedule-driven customer requirements.
  • Lead the design and development of 3U and 6U VPX SBC, FPGA, switch, and I/O cards supporting data rates up to 400 GHz.
  • Lead the design and development of custom form-factor systems that include SBC, FPGA, switch, and I/O cards, and power supplies and thermal management elements including Liquid-Flow-Through (LFT) methods.
  • Support business development, program managers, and customer teams in translating requirements into practical system and functional designs.
  • Assess technical and economic feasibility of new designs and act as a team/project lead.
  • Provide technical leadership, introduce best practices, and improve product performance, reliability, and time-to-market (TTM).
  • Direct and conduct tests to establish standards for new or modified equipment, systems, or processes.
  • Develop and maintain technical procedures, documentation, and manuals.

What you Bring
  • Bachelor's degree in Electrical Engineering required; Master's 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.
  • Extensive experience designing mixed-signal, high-speed digital, analog, and low-power, high-current circuits in high-reliability environments.
  • Proficient indesigning high-density interconnect (HDI) PCBs with 26+ layers, Mult lamination, blind/buried vias, and uVia structures.
  • Hands-on experience with Siemens Expedition DX Designer (SCH) and Siemens Expedition PCB tools.
  • Ability to prioritize tasks, drive results, and work under high-pressure, schedule-driven environments.
  • Strong leadership and mentoring skills, capable of architecting and completing complex designs with schedule-based teams.
  • Excellent communication skills; proficient in Microsoft Office (Excel, Outlook, PowerPoint).
  • US Citizenship required; active DoD security clearance preferred.

Who We Are
Our Values
Environmental, Social and Governance
Curtiss-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 best-in-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.
To learn more visit: Home | Curtiss-Wright Defense Solutions (curtisswrightds.com)
#LI-YH1
No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Resumes submitted directly to any Curtiss-Wright employee or affiliate will not qualify for fee payment, and therefore become the property of Curtiss-Wright.
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.
Curtiss-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. If you require accommodation during the recruitment process, please contact Talent Acquisition.
For US Applicants: EEO is The Law - click here for more information.
If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.

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About Curtiss-Wright

Sourced by ZipRecruiter

Curtiss-Wright Actuation Division designs, manufactures and supports electro-mechanical actuation products and systems for use in demanding applications in Aerospace, Defense and Industrial Automation markets. Our market leading solutions help improve the reliability, efficiency and performance of our customers' operations and platforms, as well as reducing their environmental impact with energy efficient electro-mechanical designs and technology. For the Aerospace market, we supply actuation systems for flight control, landing gear, utility and other applications on both commercial and military aircraft. In Ground & Naval Defense markets, we support a wide array of applications ranging from door assist, ramp and hatch actuation, weapons handling systems, radar and launch platform actuation, and robotic (AUV/ROV) actuation. In Industrial Automation, our Exlar® actuators are globally recognized as a leading brand offering high power density, precision and reliability for machine/process applications in automotive, food & beverage, oil & gas, robotics, entertainment and many other industries.

Industry

Computer and electronic product manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Davidson, NC, US

Year founded

1929

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