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Cuda Engineer Jobs in Encinitas, CA (NOW HIRING)

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

San Diego, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

National City, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

La Jolla, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

Rancho Santa Fe, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

Cardiff By The Sea, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

El Cajon, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

Software Engineer

San Diego, CA · On-site

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national ... Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

... Deploy CUDA processing * - C++ code optimization in performance-wise to image processing ... least of the programming language C++ / Python / CUDA * Have at least one of the followings ...

Principal AI Engineer Summary: * Design and advance AI models and system innovations in close ... CUDA) for efficient pre and post training, building domain specific datasets and business-relevant ...

GPU programming (CUDA/OpenGL) * Embedded systems or real-time video pipelines * MATLAB or ROS exposure * Azure ML (workspaces, compute, experiment tracking) * Docker and containerized ML workflows

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

GPU programming (CUDA/OpenGL) * Embedded systems or real-time video pipelines * MATLAB or ROS exposure * Azure ML (workspaces, compute, experiment tracking) * Docker and containerized ML workflows

Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant ... CUDA What's On Offer * - Health/Dental/Vision/Life Insurance at NO employee premium (including ...

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Showing results 1-20

Cuda Engineer information

See Encinitas, CA salary details

$39.2K

$115.2K

$147.7K

How much do cuda engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for cuda engineer in Encinitas, CA is $115,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are popular job titles related to Cuda Engineer jobs in Encinitas, CA?

For Cuda Engineer jobs in Encinitas, CA, the most frequently searched job titles are:

What job categories do people searching Cuda Engineer jobs in Encinitas, CA look for?

The top searched job categories for Cuda Engineer jobs in Encinitas, CA are:

What cities near Encinitas, CA are hiring for Cuda Engineer jobs?

Cities near Encinitas, CA with the most Cuda Engineer job openings:

Infographic showing various Cuda Engineer job openings in Encinitas, CA as of September 2026, with employment types broken down into 1% Internship, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,230 per year, or $55.4 per hour.

Software Engineer

San Diego, CA • On-site, Remote

Leidos
IT Services • 10K+ employees

$87K - $157K/yr

Full-time

Re-posted 13 days ago


Key responsibilities

  • Collaborate with scientists and engineers to design, implement, and optimize advanced algorithms for sensor systems.

  • Engineer high-performance backend systems for scientific computing and distributed environments.

  • Integrate, refactor, and optimize scientific codebases for scalability and efficiency.


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz


Job description

Unleash your curiosity. Solve what others can't.
At Leidos, we're not just writing code-we're decoding the unknown. Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing.

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and pushing the boundaries of performance. You'll join a cross-disciplinary team of scientists and engineers-experts in hydrodynamics, physics, acoustics, and signal processing-to build high-impact software that extracts meaning from massive, complex data sets.

If you're driven by innovation, energized by collaboration, and ready to see your algorithms power real-world missions-you belong here.

What You'll Do

  • Collaborate with scientists and engineers to design, implement, and optimize advanced algorithms that power next-generation radar, optical, and infrared sensor systems.

  • Engineer high-performance backend systems for scientific computing and distributed environments.

  • Integrate, refactor, and optimize scientific codebases, ensuring scalability and efficiency.

  • Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution.

  • Test, document, and evolve complex software in a Linux/Unix environment.

  • Work in a collaborative environment that values technical rigor, creativity, and growth.

Required Qualifications

  • Bachelor's degree in Computer Science, Applied Mathematics, Physics, or related field with 6+ years of backend software development experience; or Master's with 4+ years. Equivalent experience may be considered in lieu of degree.

  • U.S. citizenship and ability to obtain a Top Secret clearance (active TS preferred).

  • Demonstrated expertise in C/C++ backend software development, including large-scale, performance-critical applications.

  • Proven experience with high-performance computing, parallel/distributed processing, and standards such as MPI.

  • Hands-on experience with GPU/CUDA programming and optimization.

  • Experience with AI/ML and LLM concepts and algorithms

  • Strong foundation in advanced mathematics or physics, with the ability to translate theory into functional code.

  • Proficiency in Linux/Unix development environments.

  • Familiarity with scientific programming, algorithm implementation, and system-level problem-solving.

  • Strong understanding of software engineering principles and best practices.

  • Excellent written and verbal communication and software documentation skills.

Preferred Qualifications

  • Active Top Secret clearance

  • Familiarity with Agile development, object-oriented design, and modern software architecture.

  • Experience with Git, GitLab, MATLAB, and Fortran.

  • Knowledge of multi-threaded or shared-memory applications.

Why Leidos?

You'll be part of a team that:

  • Combines science, technology, and imagination to solve real-world defense challenges.

  • Values your curiosity as much as your technical ability.

  • Invests in your professional growth through mentorship and hands-on innovation.

At Leidos, your code doesn't just run-it defends, detects, and delivers.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 13, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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