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Fpga Deep Learning Jobs in Kentucky (NOW HIRING)

Altera Corporation

$119 - $172/hr

## FPGA System Design EngineerApplylocations: San Jose, California, United Statestime type: Full ... Deep Learning + High-speed ADC/DAC architectures + RF and Software Defined Radio (SDR) systems*

New

Applied Materials, Inc.

$156 - $215/hr

... deep into ground-breaking technologies--like machine learning and AI--to craft novel software ... Key Responsibilities * Embedded Systems Architect assigned to FPGA development and systems ...

New

CACI International Inc.

$99 - $207/hr

CACI is seeking a senior staff-level embedded software engineer with deep electrical engineering ... Support board bring-up and low-level driver development; integrate with FPGA logic and DSP blocks.

New

Qualcomm

$94 - $141/hr

Pre‑Silicon Platforms - Experience with simulation, emulation (Veloce/FPGA), RTL understanding ... AI‑Driven Validation - Applying AI learning/ML to improve validation/debug and log analysis ...

All JobsFpga Deep Learning JobsFpga Deep Learning Jobs in Kentucky

Fpga Deep Learning information

See Kentucky salary details

$60.8K

$127.7K

$182.8K

How much do fpga deep learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for fpga deep learning in Kentucky is $127,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $147,200.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Fpga Deep Learning jobs in Kentucky?

For Fpga Deep Learning jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Fpga Deep Learning jobs in Kentucky look for?

The top searched job categories for Fpga Deep Learning jobs in Kentucky are:

Fpga Deep Learning jobs near you

FPGA System Design Engineer

Altera Corporation

On-site

$119 - $172/hr

Other

Posted 3 days ago

New

Job description

## FPGA System Design EngineerApplylocations: San Jose, California, United Statestime type: Full timeposted on: Posted Todayjob requisition id: R02973# **Job Details:**### ## **Job Description:**Altera is seeking a highly motivated **FPGA System Design Engineer** to join our Aerospace, Defense, and Government (ADG) solutions team. In this role, you will work directly with strategic customers to architect, implement, optimize, and benchmark advanced signal processing and embedded computing solutions on Altera FPGA platforms.You will collaborate with industry experts, customer engineering teams, and internal FPGA tool development organizations to accelerate customer success, demonstrate the value of Altera technology, and influence future product and software capabilities. This position provides an exciting opportunity to work on cutting-edge technologies including FPGA-based DSP, embedded systems, AI inference, high-speed data converters, and advanced RF signal processing applications.**Key Responsibilities*** Design, develop, and implement FPGA-based solutions using RTL, DSP Builder, and embedded processor technologies for defense and aerospace applications.* Partner directly with strategic customers to deploy and optimize DSP, communications, AI, and signal processing algorithms on Altera FPGA devices.* Develop benchmarks, proof-of-concept demonstrations, reference designs, and complete system solutions that showcase FPGA performance and value.* Collaborate closely with FPGA software and tools teams to identify customer needs, drive tool enhancements, and influence future product features.* Analyze system-level performance and optimize FPGA implementations for throughput, latency, power, and resource utilization.* Support customer design activities including architecture reviews, debugging, performance tuning, and technical enablement.* Contribute technical collateral including design documentation, application notes, training materials, and best-practice guides.The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.$118.9K - $172.2K USDWe use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.### ## **Qualifications:****Required Qualifications*** Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.* 3+ years of experience in FPGA design and algorithm implementation.* 2+ years of software development experience using C/C++.* 1+ year of FPGA development experience using Verilog or VHDL.* Strong understanding of digital logic design and FPGA development methodologies.* Experience debugging and validating complex hardware/software systems.* Excellent analytical, communication, and problem-solving skills.**Security Clearance Requirement**This position may involve work on U.S. Government contracts that require access to controlled or classified information. Accordingly, all applicants must be eligible to obtain and maintain a U.S. Government security clearance as a condition of employment. Failure to obtain or maintain the required security clearance may result in the withdrawal of an employment offer or termination of employment, consistent with applicable law.**Preferred Qualifications*** Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.* Hands-on experience with: + MATLAB and Simulink + C/C++ and CUDA + Verilog and/or VHDL FPGA design + Quartus Prime and ModelSimTM/QuestaTM simulation tools + Real-Time Operating Systems (RTOS)* Background in one or more of the following: + Digital Signal Processing (DSP) + Signal and Image Processing + Wireless and Communication Systems + Artificial Intelligence and Deep Learning + High-speed ADC/DAC architectures + RF and Software Defined Radio (SDR) systems* Experience with FPGA SoCs, embedded processors, and heterogeneous computing architectures.* Demonstrated ability to learn new technologies quickly and work independently in a fast-paced environment.* Strong collaboration, presentation, and customer-facing communication skills.### ## **Job Type:**Regular### ## **Shift:**Shift 1 (United States of America)### ## **Primary Location:**San Jose, California, United States### ## **Additional Locations:**### ## **Posting Statement:**All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.**About Altera**Altera: Accelerating InnovatorsAltera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet. #J-18808-Ljbffr

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