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Fpga Deep Learning Jobs (NOW HIRING)

E-Space

Staff FPGA Engineer (DSP)

Saratoga, CA · On-site

$100K - $200K/yr

... candidates with passion, deep knowledge and direct experience on LEO satellite component ... learning and development • Health and wellness care options • Financial solutions for the ...

HPR

FPGA Design Engineer II

Needham, MA · On-site

$129K - $166K/yr

Lead and mentor junior engineers, promoting our culture of continuous learning and collaboration ... Deep understanding of computer architecture and digital design concepts * Experience with industry ...

K2 Space

Senior FPGA Engineer

Seattle, WA · On-site

$120K - $225K/yr

... deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass ... For now, this does not include front-end, artificial intelligence, or machine learning development.

E-Space

Staff FPGA Engineer (DSP)

Saratoga, CA

$100K - $200K/yr

... candidates with passion, deep knowledge and direct experience on LEO satellite component ... learning and development Health and wellness care options Financial solutions for the future ...

E-Space

FPGA / VLSI Engineer

Saratoga, CA · On-site

$120K - $220K/yr

... candidates with passion, deep knowledge and direct experience on LEO satellite component ... learning and development • Health and wellness care options • Financial solutions for the ...

HPR

FPGA Design Engineer II

Needham, MA

$129K - $166K/yr

Lead and mentor junior engineers, promoting our culture of continuous learning and collaboration ... Deep understanding of computer architecture and digital design concepts * Experience with industry ...

E-Space

Staff FPGA Engineer (DSP)

Saratoga, CA

$100K - $200K/yr

... candidates with passion, deep knowledge and direct experience on LEO satellite component ... learning and development • Health and wellness care options • Financial solutions for the ...

Freeform

Senior FPGA Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

E-Space

FPGA / VLSI Engineer

Saratoga, CA

$120K - $220K/yr

... candidates with passion, deep knowledge and direct experience on LEO satellite component ... learning and development • Health and wellness care options • Financial solutions for the ...

Freeform

Senior FPGA Engineer

Los Angeles, CA

$112K - $154K/yr

We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

E-Space

FPGA / VLSI Engineer

Saratoga, CA

$120K - $220K/yr

... candidates with passion, deep knowledge and direct experience on LEO satellite component ... learning and development Health and wellness care options Financial solutions for the future ...

Freeform

Senior FPGA Engineer

Los Angeles, CA

$112K - $154K/yr

We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Principal FPGA Engineer

Los Angeles, CA

$149K - $183K/yr

We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Principal FPGA Engineer

Los Angeles, CA · On-site

$149K - $183K/yr

We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Principal FPGA Engineer

Los Angeles, CA

$149K - $183K/yr

We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

DRW

FPGA Intern

Chicago, IL · On-site

$225K/yr

... and a deep curiosity to learn and absorb new technologies quickly What to expect during the ... Each project, advised by a hardware engineer, promotes a comprehensive learning experience and ...

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All JobsFpga Deep Learning Jobs

Fpga Deep Learning information

See salary details

$70K

$147.1K

$210.5K

How much do fpga deep learning jobs pay per year?

As of Jul 21, 2026, the average yearly pay for fpga deep learning in the United States is $147,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $169,500.00 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.
More about Fpga Deep Learning jobs
What cities are hiring for Fpga Deep Learning jobs? Cities with the most Fpga Deep Learning job openings:
What states have the most Fpga Deep Learning jobs? States with the most job openings for Fpga Deep Learning jobs include:
What job categories do people searching Fpga Deep Learning jobs look for? The top searched job categories for Fpga Deep Learning jobs are:
Fpga Deep Learning jobs near you
Infographic showing various Fpga Deep Learning job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $147,056 per year, or $70.7 per hour.

Staff FPGA Engineer (DSP)

E-Space

Saratoga, CA • On-site

$100K - $200K/yr

Full-time

Medical, PTO

Posted 5 days ago

Job description

Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place!
E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.
We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.
The Staff Satellite FPGA Engineer - Signal Processing will participate in all aspects of the development and test of avionics FPGA RTL designs for E-Space satellites. The ideal candidate has 10+ years of experience in FPGA firmware development including RTL design, simulations, analysis, verification, and HW testing.
This position will report to the Senior Director, Product & Systems Integration Semiconductor Development team. This position is based in our Saratoga, CA office.
What you will do:
  • The functions of this role include providing strategic direction and implementation in the following areas:
  • Own FPGA RTLdevelopmentin either SystemVerilog or VHDL from blank sheet to flight.
  • Develop FPGA logical architecture and requirements in collaboration with other engineering disciplines including defining HW/SW interfaces between fabric logic and processing subsystems.
  • Implement a digital channelizer beamformer from bit-accurate reference models
  • Drive part selection and define PCB architecture
  • Perform design verification including simulations, test benches, timing analysis, and hardware testing.
  • Lead design reviews, demonstrate requirement traceability, and create documentation for FPGA operation and interfacing with other SW and FPGA systems.
  • Develop and participate in test campaigns ranging from unit level manual tests, unit automated tests, and system level tests.

What you bring to this role:
  • 10+ years of experience in FPGA RTL architecture, development, verification, deployment, and maintenance.
  • Skilled at SystemVerilog or VHDL.
  • Skilled in at least 1 scripting language (TCL, shell, Python, etc).
  • Skilled in verification techniques, and timing/stability analysis.
  • Proficiency in understanding PCB designs and reading schematics.
  • Proficiency in understanding embedded software.
  • Knowledge of ADC/DAC interfaces and JESD204.
  • Expertise in implementing high speed digital communications interfaces.
  • Demonstrated success working in a dynamic environment.

  • Master's degree in Computer Engineering, Electrical Engineering, or equivalent.
  • Experience designing for space environments including radiation impacts and mitigation.
  • Proficiency with lab tools and working with hardware.
  • Familiarity with SystemRDL.
  • Familiarity with Model Based Design methodologies
  • Understanding of OVM/UVM framework and methodology.

This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $100,000 - $200,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience.
We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed.
E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.
Why E-Space is right for you:
As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry.
We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:
• An opportunity to really make a difference
• Sustainability at our core
• Fair and honest workplace
• Innovative thinking is encouraged
• Competitive salaries
• Continuous learning and development
• Health and wellness care options
• Financial solutions for the future
• Optional legal services (US only)
• Paid holidays
• Paid time off
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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