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Cuda Programmer Salary Jobs (NOW HIRING)

Parsons

C++ / CUDA Signal Processing Engineer

Aberdeen, MD · On-site

$100K - $176K/yr

Parsons welcomes an exceptional Signal Processing Engineer skilled in C++ and CUDA programming to ... Salary Range: $100,900.00 - $176,600.00 We value our employees and want our employees to take care ...

PRAGMATIKE

CUDA Kernel Engineer

Atlanta, GA · Remote

We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ... Competitive salary & equity options * Sign-on bonus * Health, Dental, and Vision * 401k Pragmatike ...

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How much do cuda programmer salary jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for cuda programmer salary in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data science, or machine learning can earn $500,000 or more annually, especially in high-cost living areas or with significant bonuses and stock options. Roles like senior software engineers, machine learning engineers, or technical leads at top tech companies are more likely to reach this level with advanced skills and extensive experience.

Is CUDA an in demand skill?

CUDA programming is in demand in fields such as high-performance computing, artificial intelligence, and graphics development, as many industries seek professionals skilled in GPU acceleration and parallel processing. Proficiency in CUDA, along with knowledge of C++ and GPU architecture, can enhance job prospects in these technology-driven sectors.

What is the highest paid programmer job?

The highest paid programming roles often include specialized positions such as machine learning engineers, AI researchers, and senior software architects, with salaries exceeding $150,000 annually. Expertise in high-demand skills like cloud computing, cybersecurity, or CUDA programming can also lead to top-tier compensation, especially in senior or lead roles within tech companies.

How much does a CUDA programmer make?

A CUDA programmer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually in the United States. Skilled programmers with expertise in parallel computing and GPU optimization can earn higher salaries, especially in tech hubs or specialized fields like AI and high-performance computing.
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Cuda Programmer Salary jobs near you
Infographic showing various Cuda Programmer Salary job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 13% Full Time, 4% Temporary, and 79% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

CUDA Senior Developer ( Mathematical Mindset/ New Grads

Ktek

Dallas, TX • On-site

Full-time

Posted 22 hours ago

Job description

Position/ TITLE: CUDA Developers Junior to senior & Lead Level ( Mathematical Mindset/ New Grads)
Location : New yOrk, NJ, Dallas TX, Florida
Open for Fulltime & Contract
Please share resumes at Chandra.reddy@ktekresourcing.com

Who are we looking For:
We are seeking talented individuals with 3 to 8 years of experience who are passionate about mathematics and eager to learn CUDA programming to join our innovative team. While previous CUDA experience is beneficial, it is not mandatory to prioritize strong mathematical abilities, analytical thinking, and enthusiasm for learning and growth in high-performance computing.
Key Responsibilities
Learn and apply CUDA programming principles to develop and optimize GPU-accelerated applications.
Good team player who will work with team to contribute to design. He will work to implement, and debug parallel algorithms.
Analyze performance bottlenecks and optimize computations for maximum efficiency.
Document code, algorithms, and procedures clearly for internal and external stakeholders.
Technical Skills Must Have
Strong mathematical foundation in areas such as linear algebra, calculus, numerical methods, or statistics.
Proficiency in at least one programming language (C++, Python, or similar).
Excellent problem-solving skills and logical reasoning capabilities.
Ability to learn quickly and adapt to new technologies.
Technical Skills - Good to have
Familiarity with parallel computing concepts.
Exposure to GPU programming (CUDA/OpenCL).
Having Worked in Cuda Frameworks like RAPIDS, cuDF, cuTensor, PyTorch, TensorFlow is a plus.
Experience with scientific computing, numerical simulation and/or linear programming.
What We Offer
Opportunity to gain expertise in cutting-edge CUDA technology.
Supportive learning environment with mentorship from experienced CUDA developers.
Competitive salary and benefits.
Flexible working conditions (including remote work options).
Mphasis is an equal-opportunity employer. We value diversity and encourage candidates from all backgrounds to apply.
Application
Interested candidates should submit their resume and a brief statement highlighting their mathematical expertise, programming skills, and interest in CUDA development.
Please apply along with your answer to the following problem. Any application without an answer to the problem will not be entertained.
Mathematical Challenge:
Include your proposed approach or insights on the following linear algebra problem in your application:
'Given a very large sparse matrix, propose an efficient algorithm or method to quickly identify if the matrix is singular or invertible without performing full matrix inversion.'
Preferred Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
A portfolio showcasing CUDA experience.
Process Skills:
General SDLC processes
Understanding of utilizing Agile and Scrum software development methodologies
Skill in gathering and documenting user requirements and writing technical specifications.
Behavioral Skills:
Work closely with designers, Architects, data scientists, product managers, and other engineers to deliver comprehensive solutions.
Strong problem-solving skills, with a creative approach to tackling complex challenges.
Communicate effectively and share technical knowledge with the team.
Be open to feedback and continuously learn and adapt to new technologies.
Ability to work independently and as part of a team.
Passion for learning and staying updated on the latest technologies.
Good Attitude and Quick learner .
Certification (Good to have) :
Related to CUDA any certifications
AI/ML or Python certification.