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Remote Fpga Jobs in Decatur, GA (NOW HIRING)

PRAGMATIKE

CUDA Kernel Engineer

Atlanta, GA · Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput ...

eTeam

C++ Embedded systems lead developer

Atlanta, GA · Remote

$126.50K - $166.40K/yr

Reading (Remote) Edge Development: Strong proficiency in C for embedded/edge systems; experience with containerization (Docker) on edge devices. 6 YEARS OF EXPERIENCE Big Data Technologies: Hands-on ...

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Remote Fpga information

See Decatur, GA salary details

$83K

$143.8K

$193.8K

How much do remote fpga jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote fpga in Decatur, GA is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $163,000.00 per year, depending on experience, location, and employer.

What Are Remote FPGA Jobs?

Remote FPGA jobs allow you to work from home to manage field programmable gate arrays, which are a fundamental part of digital subcircuits that can be configured after manufacturing. You may work as a virtual engineer who sends programming directives over a network, processes data to determine the best gate setup, and determines how to integrate FPGAs into the design of computer hardware. Most work with FPGAs is done in factories that process electronic hardware. Remote employees who work with these devices frequently collaborate with other hardware designers virtually to help ensure each chip meets the company's requirements.

What are the key skills and qualifications needed to thrive as a Remote FPGA Engineer, and why are they important?

To thrive as a Remote FPGA Engineer, you need a strong background in digital design, proficiency with VHDL/Verilog, and often a degree in electrical or computer engineering. Expertise with FPGA development tools such as Xilinx Vivado or Intel Quartus, and relevant certifications, are commonly required. Excellent problem-solving, independent work ethic, and effective virtual communication skills help you excel in a remote environment. These abilities ensure efficient design, collaboration, and troubleshooting of complex FPGA projects from a distance.

What are some common challenges faced when working as a remote FPGA engineer, and how can they be addressed?

As a remote FPGA engineer, one common challenge is effective collaboration with hardware and firmware teams, since hands-on access to lab equipment is often limited. Communication tools and remote access solutions are essential to bridge this gap, allowing for remote debugging and testing. Additionally, clear documentation and frequent virtual meetings help keep everyone aligned on project goals. Proactively seeking feedback and setting up regular check-ins can also ensure the remote workflow remains smooth and productive.

What is the difference between Remote Fpga vs Remote ASIC Designer?

AspectRemote FpgaRemote ASIC Designer
Required CredentialsBachelor's or Master's in Electrical Engineering, FPGA certificationsBachelor's or Master's in Electrical Engineering, ASIC design certifications
Work EnvironmentDesign and testing FPGA hardware remotely, often in collaborative teamsDesigning integrated circuits, often in specialized CAD environments, remotely
Industry UsageTelecommunications, aerospace, consumer electronicsSemiconductor manufacturing, high-performance computing
Search & Comparison IntentComparing FPGA design roles with similar hardware design jobsUnderstanding differences between FPGA and ASIC design roles

Remote Fpga roles focus on designing and testing FPGA hardware, often requiring FPGA-specific certifications and working in industries like telecommunications and aerospace. Remote ASIC Designer roles involve designing integrated circuits for high-performance applications, with a focus on ASIC-specific tools and processes. Both roles share similar credentials but differ in scope, hardware focus, and industry applications.

More about Remote Fpga jobs
What cities near Decatur, GA are hiring for Remote Fpga jobs? Cities near Decatur, GA with the most Remote Fpga job openings:
Remote Fpga jobs near you
Infographic showing various Remote Fpga job openings in Decatur, GA as of May 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

CUDA Kernel Engineer

PRAGMATIKE

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

Location: Remote US
Start date: ASAP
Languages: English (required)

About the Role

Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.

We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch. You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers.

This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy, warp-level execution, and profiling workflowsnot someone coming from generic hardware, FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput, and scalability of mission-critical AI systems.

What Youll Do

  • Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency.
  • Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA‐MEMCHECK.
  • Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead.
  • Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing.
  • Collaborate closely with AI systems, model acceleration, and backend distributed systems teams.
  • Contribute to GPU architecture decisions, kernel libraries, and internal performance-engineering best practices.

What Were Looking For

  • Proven track record building NVIDIA CUDA kernels from scratchnot just calling existing libraries.
  • Strong ability to optimize kernels (tiling strategies, occupancy tuning, shared memory design, warp scheduling).
  • Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory coalescing, as well as warp divergence (how to detect, analyze, and mitigate it)
  • Experience diagnosing PCIe bottlenecks and optimizing host-device transfers (pinned memory, streams, batching, overlap).
  • Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling.

Bonus Points

  • Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG).
  • Background in GPU acceleration for ML frameworks or HPC workloads.
  • Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS).
  • Exposure to compiler-level optimization or PTX/SASS analysis.
  • Startup experience or comfort working in fast-moving, ambiguous environments.

Why This Role Will Pivot Your Career

  • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  • Customer impact: Deploy AI solutions powering Fortune 500 clients.
  • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
  • Funding & growth: Oversubscribed seed round, next funding in 2026.
  • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  • Culture & autonomy: Own critical systems while collaborating with world-class engineers.
  • Aspirational impact: Solve GPU/AI performance challenges few engineers ever face.

Benefits

  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401k

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.