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Hourly Cuda Jobs (NOW HIRING)

GPU-accelerated simulation experiencewith cuQuantum, CUDA-Q, or related NVIDIA quantum software ... The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Internbenefits.

OR ยท On-site

$15 - $20/hr

... platforms (cuQuantum, CUDA-Q, and Ising) that researchers around the world rely on to design ... The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Internbenefits.

... CUDA , NVIDIA Falcor . Compensation & Legal * Hourly contractor * Paid weekly via Stripe Connect Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume

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... CUDA , NVIDIA Falcor . Compensation & Legal * Hourly contractor * Paid weekly via Stripe Connect Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume

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Hourly Cuda information

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How much do hourly cuda jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for hourly cuda in the United States is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $57.45 per hour, depending on experience, location, and employer.

What is the difference between Hourly Cuda vs Hourly Data Analyst?

AspectHourly CudaHourly Data Analyst
Required CredentialsCUDA programming certification, technical skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, research labs, GPU-focused projectsBusiness, finance, healthcare, and tech industries
Employer & Industry UsageTech firms utilizing GPU computingOrganizations analyzing data for insights
Common Search & ComparisonYesYes

Hourly Cuda professionals focus on GPU programming and parallel computing, often requiring technical certifications. Hourly Data Analysts interpret data to inform business decisions, typically with a degree in related fields. While both roles involve technical skills, they serve different industry needs and environments.

More about Hourly Cuda jobs
What cities are hiring for Hourly Cuda jobs? Cities with the most Hourly Cuda job openings:
What are the most commonly searched types of Cuda jobs? The most popular types of Cuda jobs are:
What states have the most Hourly Cuda jobs? States with the most job openings for Hourly Cuda jobs include:
Infographic showing various Hourly Cuda job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 92% Part Time, and 6% Contract. Highlights an 31% Physical, 65% Hybrid, and 4% Remote job distribution, with an average salary of $81,860 per year, or $39.4 per hour.
Machine Learning - Senior Software Engineer - C++, Docker, CUDA

Machine Learning - Senior Software Engineer - C++, Docker, CUDA

Erias Ventures, LLC

Annapolis Junction, MD โ€ข On-site, Remote

$125.20K - $165K/yr

Other

Medical, Life

Posted 25 days ago


Job description

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solving,open communication, andempowering our employeesto make decisions and put forth new ideas.
Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of atechnicallystrongandgrowth-orientedcompany focused on bringinginnovative solutionsto the difficult mission problems facing our customers.
Description
n We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery.
  • Productionize ML Research: Transform research code and prototypes from our ML teaminto reliable, scalable solutions ready for end-user deployment
  • Build Diverse Solutions: Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
  • Own the Delivery Pipeline: Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
  • Deploy ML Infrastructure: Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference
  • Performance Engineering: Profile, tune, and optimize solutions for production workloads
  • Documentation & Best Practices: Create comprehensive user documentation and establish deployment best practices
  • Collaborate Cross-Functionally: Work directly with end users to understandrequirements and with researchers to align developmentwith real-world needs
This job also offers telework once the candidate is familiar with the environment
Clearance
A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Experience
Fourteen (14) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Fouradditional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor'sdegree.
Required skills:
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Experience with machine learning frameworks (PyTorch preferred)
  • Prior work in ML engineering or ML infrastructure
  • Ability to write clean, maintainable code with strong software engineering fundamentals
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively
Desired skills:
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledgeof model formats and optimization (ONNX, TensorRT)
  • Protocol Buffers (protobuf) and gRPC
  • NVIDIA technologies (CUDA, TensorRT, Triton Inference Server)
  • Signal processing techniques and libraries
  • Performance profiling and optimization tools
  • Experience supporting production ML systems
  • Background in high-performance computing and/or GPU programming
Benefits
Erias Ventures provides a complete package of wealth, health, and happiness benefits.The expected salary range for this position, depending on education and years of experience is $215,000 - $238,000.
Wealth Benefits:
  • Above Market Hourly Pay
  • 11% RothorTraditional 401kwith Immediate Vesting and Deposit
  • Spot Bonusesfor Assisting with Business Development and Company Growth
  • Professional Development Bonusesfor Certificates and Degrees
Health Benefits:
  • Company subsidizedMedicalCoverage
  • 100%Company PaidVisionandDentalCoverage
  • 100%Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance
  • MonthlyWellness Reimbursement
Happiness Benefits:
  • Paid Time OffwithFlexible WorkSchedules andBirthday Off
  • Amazon Prime MembershipandMonthlyInternetReimbursement
  • TechnologyandProductivity Allowancefor Equipment and Supplies
  • Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
  • Onboarding and AnnualSwag
  • Company Paid Professional DevelopmentandTraining
At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Referrals &Inquiries
Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to$10,000for each successful hire.
Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available!
Please send referrals and inquiries to:
jobs@eriasventures.com
To learn more about our company visit ourwebpageorLinkedIn.