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Computer Vision Fpga Jobs (NOW HIRING)

Principal FPGA Engineer

Seattle, WA ยท On-site

$110K - $250K/yr

Familiarity with computer vision and perception algorithms and their hardware acceleration on FPGA. * Experience optimizing video and sensor processing chains for low latency in autonomous systems.

FPGA Verification Engineer

Waltham, MA ยท On-site

$150 - $200/hr

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... ABOUT THE JOB The Imaging team is seeking a FPGA Verification Engineer to help design a new product ...

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB We are looking for a Staff FPGA Engineer to join our rapidly growing team in Costa ...

Staff FPGA Engineer, EW

Costa Mesa, CA ยท On-site

$220K - $292K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... Own FPGA development for various software defined radio platforms that enable EW functions * Work ...

Senior FPGA Engineer, Space

Costa Mesa, CA ยท On-site

$191K - $253K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB We are looking for a Sr. FPGA/SoC Engineer to join our rapidly growing team in Costa ...

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Computer Vision Fpga information

See salary details

$48.5K

$121.5K

$137.5K

How much do computer vision fpga jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer vision fpga in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a computer vision FPGA?

A Computer Vision FPGA is a field-programmable gate array (FPGA) that is specifically designed or programmed to accelerate computer vision tasks such as image processing, object detection, and pattern recognition. FPGAs are integrated circuits that can be reconfigured for specific computing tasks, making them well-suited for the real-time, high-speed processing demands of computer vision applications. Using FPGAs for computer vision enables lower latency, high throughput, and energy efficiency compared to traditional CPUs or GPUs for certain tasks. This combination is particularly valuable in fields like robotics, autonomous vehicles, and industrial automation.

What are the key skills and qualifications needed to thrive as a computer vision FPGA engineer?

To thrive as a Computer Vision FPGA Engineer, you need strong expertise in digital design, VHDL/Verilog programming, and a solid background in computer vision algorithms, often supported by a degree in electrical engineering or computer science. Familiarity with FPGA development tools such as Xilinx Vivado or Intel Quartus, and experience with simulation and debugging systems, are typically required. Critical soft skills include problem-solving, attention to detail, and effective teamwork to tackle complex design and integration challenges. These skills ensure efficient implementation of high-performance vision systems and successful collaboration in interdisciplinary engineering environments.

What are some common challenges faced by computer vision FPGA engineers when optimizing algorithms for hardware implementation?

Computer Vision FPGA engineers often encounter challenges related to balancing processing speed, resource utilization, and power consumption when implementing algorithms on hardware. Translating complex computer vision algorithms to run efficiently on FPGAs requires a deep understanding of hardware constraints and the ability to optimize code for parallel processing. Additionally, these engineers frequently collaborate with software developers, data scientists, and hardware teams to adapt algorithms for real-time performance while ensuring accuracy and scalability, which can involve extensive iteration and testing.

What other helpful pages are available for Computer Vision Fpga?

Other pages related to Computer Vision Fpga:

Infographic showing various Computer Vision Fpga job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Principal FPGA Engineer

Seattle, WA โ€ข On-site

$110K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

About BRINC:
At BRINC, we are redefining public safety with an innovative ecosystem of life-saving tools. Our journey started with the development of drones and ruggedized throw phones, designed to access unsafe areas and establish communication to de-escalate situations. Today, we've expanded into creating and deploying 911 response networks, where drones are dispatched to 911 calls to provide real-time visual data, enhancing safety and enabling de-escalation-focused responses. Our cutting-edge solutions are utilized by over 600 public safety agencies across America and the company has raised over $150M from investors, including Index Ventures, Motorola Solutions, Sam Altman, Dylan Field, Mike Volpi, Alexandr Wang and more. At BRINC, we are committed to recruiting the world's best talent to join us in our mission to support first responders in saving lives.
About this Role:
We are seeking a Principal FPGA Engineer to lead the design and development of advanced FPGA-based systems for our autonomous drones and public safety products. In this role, you will architect and implement high-performance video pipelines, sensor interfaces, and real-time processing systems to enable robust perception and data handling. As a technical leader, you will drive innovation, mentor engineers, and collaborate cross-functionally to deliver cutting-edge hardware acceleration and digital systems that enable real-world live-savings robotic devices in demanding environments.
Key Responsibilities:
  • Lead the architecture, design, and implementation of FPGA systems for video, sensor, and communication pipelines.
  • Develop and optimize logic for high-speed digital interfaces such as MIPI CSI/DSI, LVDS, HDMI, PCIe, and Gigabit Ethernet.
  • Implement memory controllers, DMA engines, and streaming architectures to support real-time data transfer.
  • Optimize FPGA designs for performance, power efficiency, and resource utilization.
  • Collaborate with hardware, software, and systems teams to ensure seamless FPGA integration into embedded platforms.
  • Implement FPGA acceleration for real-time image signal processing (ISP) and video enhancement pipelines.
Qualifications:
  • Master's or PhD in Electrical Engineering, Computer Engineering, or a related field.
  • 7+ years of FPGA design and development experience in complex systems.
  • Expert proficiency in Verilog, VHDL, and/or SystemVerilog.
  • Strong background with FPGA vendor tools such as Xilinx Vivado, Intel Quartus, and ModelSim/QuestaSim.
  • Experience with Xilinx Zynq Ultrascale+ or similar SoC/FPGA chipsets.
  • Proven ability in high-speed digital design, timing closure, and FPGA resource optimization.
  • Hands-on experience with board-level bring-up, lab instrumentation, and debugging complex FPGA systems.
Preferred Skills:
  • 10+ years of FPGA design and development experience in complex systems.
  • Familiarity with video/image signal processing hardware implementation.
  • Familiarity with computer vision and perception algorithms and their hardware acceleration on FPGA.
  • Experience optimizing video and sensor processing chains for low latency in autonomous systems.
  • Experience with embedded processor integration (e.g. ARM cores, MicroBlaze, Nios II, or RISC-V).
  • Experience with OpenGL. General experience with hardware acceleration of algorithms on modern GPU architectures.
  • Knowledge of DDR memory systems, SERDES, and multi-gigabit transceivers.
  • Experience developing FPGA systems for aerospace, defense, or safety-critical applications.
  • Track record of leading technical projects and mentoring engineering teams.

BRINC Culture Values:
  • Try the hard stuff
  • Be innovative - Invent the future
  • Move fast
  • Listen to end-users
  • Strive for excellence
  • Don't build a dystopia
  • Be frugal
  • Save lives through technology

If you're interested in this role and in joining BRINC, we hope you'll apply. We'd love to review your application and get to know more about you!
BRINC is proud to be an equal opportunity employer that is resolute in cultivating an environment that promotes safety, diversity, inclusion and equity. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering every employee so they can do their best work. If you have a disability or special need, please let our recruiting team know - we strive to provide appropriate accommodation and assistance.
Benefits and perks listed below may vary based on the nature of your employment with BRINC and/or the country within which you work
  • Comprehensive medical, dental and vision plans for our employees and their families
  • 401K plan
  • Maternity and paternity leave
  • Flexible Time Off (Exempt) / Paid time off (Non-Exempt)
  • Flexible work environment
  • Orca pass (for those in Puget Sound)
  • Free parking (Seattle office)
  • Free snacks, drinks and espresso (Seattle office)