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Fpga Deep Learning Jobs (NOW HIRING)

HPR

Senior FPGA Design Engineer

Needham, MA

$159K - $215K/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 ...

HPR

Senior FPGA Design Engineer

Needham, MA · On-site

$159K - $215K/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 ...

TetraMem INC

$200 - $350/hr

Lead development of compiler toolchains that translate deep learning models onto novel in‑memory ... Guide the design and optimization of embedded software, firmware, and drivers supporting FPGA and ...

New

Nvidia

AI Inference Performance Engineer

Santa Clara, CA · Hybrid

$164K/yr

... FPGA or other DL accelerators; GPU programming experience (CUDA). * Track record of leading ambiguous, high-impact technical programs across multiple teams under tight deadlines. GPU deep learning ...

Etched

Performance Modeling Engineer

San Jose, CA · On-site

$175K - $275K/yr

Profile and analyze deep learning workloads on our hardware to identify micro-architectural ... Exposure to ASIC, FPGA, or CGRA-based accelerator development and hardware/software co-design ...

Etched

Performance Modeling Engineer

San Jose, CA · On-site

$175K - $275K/yr

Profile and analyze deep learning workloads on our hardware to identify micro-architectural ... Exposure to ASIC, FPGA, or CGRA-based accelerator development and hardware/software co-design ...

TetraMem Inc

Head of Software

San Jose, CA · On-site

$200K - $350K/yr

Lead development of compiler toolchains that translate deep learning models onto novel in-memory ... Guide the design and optimization of embedded software, firmware, and drivers supporting FPGA and ...

Relativity Space

Senior FPGA Engineer

Long Beach, CA · On-site

$148K - $222K/yr

A strong candidate for the role will have a deep technical background in electronics design and ... learning and development stipend, and more! To see some of the benefits & perks we offer, please ...

Relativity Space

Senior FPGA Engineer

Long Beach, CA

$148K - $222K/yr

A strong candidate for the role will have a deep technical background in electronics design and ... learning and development stipend, and more! To see some of the benefits & perks we offer, please ...

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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 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $147,056 per year, or $70.7 per hour.

Senior FPGA Design Engineer

HPR

Needham, MA

$159K - $215K/yr

Other

Re-posted 17 hours ago

Job description

HPR is a leading provider of high-performance and ultra-low latency electronic trading and capital markets infrastructure solutions offered as a managed service. Our cutting-edge technology is used by tier-1 financial institutions to monitor and execute trades rapidly and efficiently. As we continue to innovate and grow, we're searching for a forward-thinking Senior FPGA Design Engineer to help us build the future of capital markets infrastructure. 

As a Senior FPGA Design Engineer at HPR, you will: 

  • Design, develop, optimize, and maintain high-performance FPGA compute and networking systems used in electronic trading
  • Own the RTL design process from specification and coding through synthesis and FPGA implementation
  • Partner with design verification engineers to review and execute comprehensive test plans
  • Lead and mentor junior engineers, promoting our culture of continuous learning and collaboration
  • Contribute to improving our development processes, tools, and methodologies 

Required Qualifications 

  • BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or related
  • 5+ years of experience in digital logic design for FPGAs or ASICs
  • Proficiency in SystemVerilog (preferred) or VHDL
  • Deep understanding of computer architecture and digital design concepts
  • Experience with industry-standard simulation and debugging tools (e.g., VCS, Verdi)
  • Comfortable working in a Linux environment
  • Strong problem solving, debugging, and communication skills 

Desired Qualifications 

  • Experience working with Xilinx and/or Altera FPGAs
  • Familiarity with FPGA architecture and advanced design techniques, including optimizations for synthesis and timing closure
  • In-depth knowledge of networking protocols (IP, TCP, UDP)
  • Experience with high-speed interfaces (PCIe, Ethernet, and/or DDR)
  • Familiarity with C programming and scripting in Python and/or Perl 

Compensation: In compliance with Massachusetts law, the anticipated annual base salary range for this position is $159,300 to $215,000. Please note that this range represents the expected base salary for this role at the time of posting. The final offer may vary based on factors such as the candidate's experience, skills, and qualifications. This range does not include other forms of compensation such as potential bonuses, equity, or benefits.

This position requires being on-site at our office in Needham, MA full-time (5 days per week) 

HPR does not currently provide employment sponsorship 

Hyannis Port Research is an Equal Opportunity Employer and is committed to providing a workplace free from discrimination and harassment. All employment decisions are made without regard to any characteristic protected by applicable federal, state, or local law. We are committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and hiring process and during employment, consistent with applicable law. Applicants who require an accommodation to participate in the application or interview process or will require accommodation if hired should contact us via the "Connect With Us" button on our Careers page.

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