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Full Time Cuda Jobs (NOW HIRING)

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 ...

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 ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/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 ...

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Full Time Cuda information

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$111.5K

$206K

How much do full time cuda jobs pay per year?

As of Aug 20, 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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What states have the most Full Time Cuda jobs?

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Full Time Cuda jobs near you
Infographic showing various Full Time Cuda job openings in the United States as of August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

Electric Engineer (System Engineer)

INDUS Technology, Inc.

Newport, RI • On-site

Full-time

Re-posted 22 hours ago

Job description

The Team and the Role

INDUS is a 100% employee-owned, customer-focused government services provider with expertise in Engineering, Information Technology, Cybersecurity, Program/Financial Management, Logistics, and Data Analytics. At INDUS, we believe in the value of the INDUS team. Together we deliver exceptional customer service, foster a growth and support-centered work environment, and focus on how we can give back to the communities that we serve. Empowering our employees starts on day one and creates an environment full of innovation and promise. By offering mentorship and robust Training and Development opportunities, INDUS continues its pursuit to be the Employer of Choice. 

Reporting to the Program Manager, the Electric Engineer develops and optimizes GPU-accelerated algorithms supporting high-fidelity simulation models used in the WAF HWIL simulation environment. The engineer supports performance optimization of models operating under strict real-time constraints. This is a contingent position expected to be located in Newport, RI.

What You'll Do
  • Develops and optimizes algorithms executed on Graphics Processing Units (GPUs).
  • Implements parallel processing techniques to support real-time simulation requirements.
  • Supports development and enhancement of high-fidelity simulation models leveraging GPU acceleration.
  • Integrates GPU-based algorithms into the WAF simulation architecture.
  • Conducts performance testing and optimization to ensure models meet timing constraints.
  • Utilizes CUDA and parallel computing frameworks in support of simulation performance improvements.
  • Provides documentation and technical reports supporting GPU-based model development.
  • Bid and proposal support if requested.
  • Other duties as assigned.
What We're Looking For

Required Qualifications:

  • An active secret clearance is required to be considered for this position.
  • Bachelor's degree from an accredited university is required.
  • Three (3) years of experience operating CAT 3 weight-handling equipment in industrial, laboratory, or government environments preferred.
  • Three (3) years of experience working with high-fidelity models where the primary computational algorithm is executed on GPUs.
  • Five (5) years of experience developing or optimizing GPU-accelerated algorithms.
  • Experience with CUDA programming and parallel processing environments.
  • Experience supporting real-time simulation systems.
  • Must possess basic computer literacy and data entry skills.
  • Demonstrated proficiency in Microsoft Office applications (to include MS Word, Excel, PowerPoint, etc.).
  • Strong attention to detail and organizational skills.
  • Excellent verbal and written communication skills.
  • Demonstrated problem-solving skills.
  • Must possess strong time management skills.
  • Must be able to work in a fast-paced, changing, and challenging environment.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Physical Requirements:

  • Must be able to remain seated in a stationary position 50% of the time. Must also be able to alternate between sitting, standing, and walking.

INDUS is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic.

#CJ

Employment Type: FULL_TIME

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