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How much do temporary cuda programmer jobs pay per hour?

As of May 31, 2026, the average hourly pay for temporary cuda programmer 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 is the difference between Temporary Cuda Programmer vs GPU Developer?

AspectTemporary Cuda ProgrammerGPU Developer
CredentialsProficiency in CUDA, C++, GPU programmingProficiency in CUDA, C++, GPU architecture, software development
Work EnvironmentProject-based, short-term contracts, tech companies, research labsLong-term projects, software teams, hardware integration
Industry UsageHigh-performance computing, AI, scientific researchGraphics, gaming, AI, scientific simulations

Temporary Cuda Programmers focus on short-term GPU programming tasks using CUDA, often for specific projects. GPU Developers typically have broader roles involving software development, optimization, and integration of GPU technologies. While both roles require CUDA expertise, GPU Developers usually have more extensive experience and work on ongoing projects, whereas Temporary Cuda Programmers are hired for specific, time-limited tasks.

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Temporary Cuda Programmer jobs near you
Infographic showing various Temporary Cuda Programmer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Staff Engineer, State Estimation (Dallas/San Diego/Boston/DC/San Fran)

Staff Engineer, State Estimation (Dallas/San Diego/Boston/DC/San Fran)

Shield AI

Washington, DC

Full-time

Posted 17 days ago

Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
As a Staff State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability.
 
Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.
What you'll do:
  • Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.
  • Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.
  • Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.
  • Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.
  • Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.
  • Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.
Required qualifications:
  • Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience.
  • Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.
  • Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).
  • Proficient in C++11 or newer in real-time environments.
  • Comfortable working in Linux, with experience using standard command-line tools and scripting.
  • Strong written and verbal communication skills with a collaborative mindset.
  • Demonstrated success working in fast-paced development cycles and delivering high-quality results.
Preferred qualifications:
  • Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions.
  • Exposure to visual odometry or computer vision-based navigation approaches.
  • Experience optimizing code for performance on compute-constrained platforms.
  • Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs).
  • Experience transitioning navigation solutions from research into production environments.
#LI-SM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.