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Full Time Cuda Jobs (NOW HIRING)

LufCo

DSP Engineer

Aberdeen, MD · On-site

$150K - $250K/yr

Technical Lead Job Type: Full-time Clearance Requirement: TS/SCI ( US citizenship is a must ... CUDA parallel computing platform and programming model experience (not required) * C/C++/Java ...

LufCo

DSP Engineer

Aberdeen, MD · On-site

$150K - $250K/yr

Technical Lead Job Type: Full-time Clearance Requirement: TS/SCI ( US citizenship is a must ... CUDA parallel computing platform and programming model experience (not required) * C/C++/Java ...

DeepSig, Inc

Senior Software Engineer

Arlington, VA · On-site

$141K - $185.80K/yr

Job Type Full-time Description Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option ... CUDA) * Software-defined radio (SDR) experience * Embedded system experience * This opportunity is ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization, pruning, etc. These are permanent full time remote ...

DeepSig Inc Careers Page

Senior Software Engineer

Arlington, VA · On-site

$141K - $185.80K/yr

Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate ... CUDA) * Software-defined radio (SDR) experience * Embedded system experience * This opportunity is ...

HeyGen

Tech Lead, AI Compute Infrastructure

Los Angeles, CA · On-site

$186.40K - $220.90K/yr

... CUDA kernels, distributed training libraries) into production-ready, scalable training and ... full-time industry experience in large-scale MLOps, AI infrastructure, or HPC systems

STN Incorporated

AI Infrastructure Engineer

Pleasanton, CA · Remote

$145K - $195K/yr

NVIDIA certifications (e.g., NVIDIA Certified Professional in Data Center GPU Management or CUDA ... Compensation * Full-Time, Exempt * Salary: $145K-195K, DOE Benefits * Health Coverage - Medical ...

SoloPulse

Senior Software Engineer

Peachtree Corners, GA

$115.90K - $152.70K/yr

Hands-on experience with NVIDIA CUDA and GPU acceleration * Experience with secure, reliable ... Desk setup stipend for all full-time employees * Relocation assistance (depending on role ...

SoloPulse

Senior Software Engineer

Peachtree Corners, GA · On-site

$140K - $160K/yr

Hands-on experience with NVIDIA CUDA and GPU acceleration > * Experience with secure, reliable ... Desk setup stipend for all full-time employees * Relocation assistance (depending on role ...

Cypress HCM

Principal AI Engineer

San Diego, CA

... CUDA) for efficient pre and post training, building domain specific datasets and business-relevant ... Requires full-time, on-site presence at the office in San Diego, CA. * Willingness to travel up to ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116.50K - $148.90K/yr

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure ... CUDA, JAX, or distributed systems is a plus • Demonstrated ability to learn quickly and debug ...

SAIC

HPC Systems Engineer

Charlottesville, VA · On-site

Systems Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: Top ... GPU-enabled compute resources supporting CUDA-based processing The system will be used to support ...

Uw

Research Scientist/Engineer 1

Seattle, WA · On-site

$70.01K/yr

PyTorch/CUDA for segmentation/model inference. 3. Data stewardship: DVC or equivalent data ... This is a regular position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: UAW Research ...

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How much do full time cuda jobs pay per year?

As of Jun 1, 2026, the average yearly pay for full time cuda in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Cuda vs Full Time Data Scientist?

AspectFull Time CudaFull Time Data Scientist
Required CredentialsCUDA programming certifications, computer science degreeStatistics, data analysis, programming skills, often a master's or PhD
Work EnvironmentTech companies, AI, machine learning, GPU-intensive tasksBusiness, finance, healthcare, research institutions
Employer & Industry UsageTech firms, hardware manufacturers, AI startupsCorporations, research labs, consulting firms

Full Time Cuda roles focus on GPU programming and parallel computing, often requiring specialized certifications and working in tech-heavy environments. Full Time Data Scientist positions involve data analysis, statistical modeling, and machine learning, typically requiring advanced degrees. While both roles involve technical skills, they serve different industry needs and work settings.

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Full Time Cuda jobs near you

DSP Engineer

LufCo

Aberdeen, MD • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Overview
Position Title: DSP Engineer
Location: Aberdeen, MD
Reports To: Technical Lead
Job Type: Full-time
Clearance Requirement: TS/SCI ( US citizenship is a must)
Summary:
LufCo is hiring a Digital Signal Processing Engineer to join a collaborative, small team environment to provide the development and improvement to a GPU accelerated signals processing framework.
The Digital Signal Processing Engineer will support an established project that consists of a highly visible, Deployed, Digital Signal Processing (DSP) of broad-spectrum RF signals.
Key Responsibilities:
  • Digital Signal Processing support
  • New Development, Feature Enhancements, and Bug Fixes
  • Supporting Feature Enhancements and Bug Fixes of existing components using C/C++
  • Code Reviews
  • Software Development Processes
  • Working in a small team environment
  • Developing, managing, and updating digital signals
  • Extracting narrowband signals out of a wideband signal
  • Using GPU resources to implement real-time signal processing solutions
  • Implementing signal processing algorithms
  • Utilizing multirate signal processing techniques
  • Signal processing algorithm creation/implementation

Qualifications
Education:
  • B.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline

Experience:
  • 10+ years of experience as a DSP engineer

Desired Skills:
  • Familiarity with Docker/OCI, Kubernetes is desired
  • CUDA parallel computing platform and programming model experience (not required)
  • C/C++/Java/Python/Shell Scripting/Google Protocol Buffers/HTTP Rest APIs/Docker/RPMs or equivalent
  • Digital Signal Processing
  • Experience with signal generators and spectrum analyzers.
  • Hands-on experience with CUDA parallel computing, including kernel development, memory hierarchy management (global, shared, pinned host memory), and GPU/CPU data transfer optimization.
  • Familiarity with CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions) for automated build, test, and deployment of DSP software.
  • Hands-on experience with Software Defined Radios (SDRs) such as USRP, RTL-SDR, or similar hardware for signal collection and algorithm validation.
  • Experience with wideband blind signal detection, channelization, and multirate signal processing techniques.
  • Experience integrating DSP processing blocks into plugin or event-driven frameworks.
  • Strong C/C++ development skills with emphasis on performance-critical, low-latency code
  • Python scripting for test automation, data analysis, and pipeline integration
  • Familiarity with Python signal processing libraries including NumPy, SciPy, and matplotlib for algorithm prototyping prior to GPU-accelerated CUDA/C++ implementation.
  • Experience with RPM/DEB packaging and Linux system-level deployment.
  • Experience with the VITA 49 standard for streaming IQ data, including packet framing, context packets, and integration with SDR hardware or signal processing pipelines.

Physical Requirements:
  • Ability to travel as required.
  • Standard office environment with occasional requirements to visit client sites, labs, or field environments.

Why Join Us?
  • Impactful Work: Contribute to critical national security initiatives and make a real difference in protecting our nation.
  • Cutting-Edge Technology: Work with the latest advancements in SIGINT and related fields.
  • Career Growth: Opportunities for professional development, training, and advancement within a growing company.
  • Collaborative Environment: Join a team of highly skilled and supportive engineers who are passionate about their work.
  • Comprehensive Benefits: Competitive salary, generous PTO, health/dental/vision insurance, 401K matching, tuition reimbursement.

Compensation and Benefits:
  • Competitive Pay: Salaries depend on labor category, years of experience, education, skills relevant to the position, and type of contract.
  • Benefits: Including Paid Time Off; 401K Contribution and Employer Match Contributions; and Medical, Dental, and Vision Coverage.
  • For the full list of LufCo Benefits, visit our website: https://www.lufburrow.com/careers

Position availability can vary due to dynamic, evolving contract needs. This job posting being active does not guarantee an immediately available position matching its description. This job description is intended to provide a general overview of the responsibilities and qualifications for this position. It is not an exhaustive list and may be subject to change based on the needs of the company.
LufCo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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.
LufCo Employees: This position qualifies for up to a Blue Award level referral bonus. For more information, visit the Employee Portal.

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