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Fpga Deep Learning Jobs in Missouri (NOW HIRING)

siliconharbour

FPGA Designer

California, MO · On-site

$100 - $140/hr

This role combines deep technical expertise with strong collaboration and systems thinking. You ... Professional Growth - Gain hands‑on experience, engage in continuous learning, and develop your ...

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Fpga Deep Learning information

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 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 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.

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

Fpga Deep Learning jobs near you

FPGA Designer

siliconharbour

California, MO • On-site

$100 - $140/hr

Other

Medical, Dental

Posted 3 days ago

New

Job description

At Avalon Holographics, we’re replicating reality! We move fast, think big, and push boundaries to build something groundbreaking!We’re building the world’s most advanced holographic display, transforming how industries like medical, defense, and entertainment see and experience visual content. No headsets, no glasses, just incredibly lifelike, 3D visuals!As we scale our high-performance digital architectures, we’re looking for an FPGA Designer who is excited by difficult problems, values strong teamwork, and wants to help build the real-time systems that power our display technology.This role combines deep technical expertise with strong collaboration and systems thinking. You will work closely with cross-functional engineering teams to design, implement, and validate FPGA-based solutions that are critical to system performance, scalability, and reliability.What You’ll Do

Design and develop FPGA-based digital systems for high-performance, real-time applications.

Implement and optimize digital signal processing (DSP), video/display pipelines, and high-throughput data processing architectures.

Integrate FPGA subsystems with hardware and software components across complex system architectures.

Develop and execute verification and validation strategies to ensure system reliability and performance.

Create and maintain simulation and test environments at both module and system levels.

Perform static timing analysis and optimize designs for performance, latency, and resource efficiency.

Support system-level architecture decisions through device selection, sizing estimates, and performance analysis.

Collaborate closely with Display Development, CODEC, optics, and Systems teams to solve complex technical challenges.

Document design methodologies, validation processes, and test results to support long-term system reliability.

What We’re Looking For

Bachelor’s degree in Electrical Engineering or a related field.

5+ years of experience in RTL design using VHDL and/or Verilog.

Demonstrated experience designing FPGA-based systems from concept through implementation and validation.

Strong experience with FPGA design tools and development workflows, including synthesis, timing closure, and hardware debugging.

Experience implementing digital signal processing (DSP), video/display pipelines, or other high-throughput data processing systems.

Experience working with large-scale or data-intensive FPGA architectures.

Experience developing simulation, verification, and validation strategies.

Ability to identify technical risks, evaluate trade-offs, and support sound engineering decisions.

Strong documentation and communication skills.

A collaborative mindset and ability to contribute positively to a cohesive, team-oriented engineering culture.

If you're looking for a role where your work matters—and where your teammates challenge and support you, we’d love to hear from you!

Why Join Avalon Holographics?

Innovation at the Core – Work on cutting-edge technology and play a key role in shaping the future of holographic displays.

Collaborative Culture – Join a team of passionate, innovative professionals who value creativity, teamwork, and pushing boundaries.

Autonomy & Ownership – Enjoy the freedom to take initiative, explore new ideas, and drive meaningful outcomes.

Professional Growth – Gain hands‑on experience, engage in continuous learning, and develop your skills in a fast‑moving industry.

Meaningful Work – Contribute to a mission that’s transforming industries and redefining how people experience visual technology.

Work-Life Balance – Benefit from flexible work policies that support your well‑being.

Competitive Compensation – We offer competitive salaries, employee stock option grants, and 100% employer‑paid health and dental benefits, allowing you to share in our success as we grow.

At Avalon Holographics, we are committed to creating an inclusive and accessible environment where everyone feels valued, respected, and supported. If you require accommodation during the recruitment process, please let us know. We are dedicated to providing reasonable accommodation to ensure that all candidates have the opportunity to fully participate and thrive.

We encourage individuals from historically underrepresented groups to apply, even if you don’t meet every qualification listed. Your unique skills, perspectives, and experiences are valuable to us, and we’re excited to learn how you can contribute to our mission.

Avalon Holographics is an equal opportunity employer. We celebrate diversity and are dedicated to fostering an environment where everyone, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other aspect of identity, can succeed.

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