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Cuda Engineer Jobs in Washington (NOW HIRING)

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong advantage. * Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU ...

Booz Allen Hamilton, Inc.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton, Inc.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton, Inc.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Chantilly, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton, Inc.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$120 - $160/hr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Chantilly, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

RPMGlobal

Senior Software Engineer

Bethesda, MD · On-site

$120 - $160/hr

Position Summary Base-2 Solutions is seeking a Senior Software Engineer to support the design and ... Experience with GPU processing using CUDA, PyTorch, etc. * Knowledge of GraphQL, Python, Bash ...

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All JobsCuda Engineer JobsCuda Engineer Jobs in Washington

Cuda Engineer information

See Washington salary details

$41.3K

$121.5K

$155.7K

How much do cuda engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for cuda engineer in Washington is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $154,000.00 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 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.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

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 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.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.

What are popular job titles related to Cuda Engineer jobs in Washington?

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

What job categories do people searching Cuda Engineer jobs in Washington look for?

The top searched job categories for Cuda Engineer jobs in Washington are:

What cities in Washington are hiring for Cuda Engineer jobs?

Cities in Washington with the most Cuda Engineer job openings:

Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Washington as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $121,507 per year, or $58.4 per hour.

SLAM Engineer

Quidient

Columbia, MD • On-site

$175K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 27 days ago

Job description

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world's great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Overview
Quidient is hiring a SLAM Engineer to advance the on-device visual-inertial SLAM system that powers our mobile capture experience. This role is central to how everyday users capture the world using their phones. You will enhance the live tracking pipeline running on mobile, pushing the limits of accuracy, robustness, and real-time AR visualization across a wide range of real-world scenarios - going well beyond what platform-provided solutions can deliver.
This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.
What You'll Do
Real-time SLAM & Sensor Fusion
  • Develop and advance our on-device visual-inertial odometry and VI-SLAM pipeline - including sensor fusion across multi-camera streams, IMU, and depth - with drift correction and relocalization for production capture workflows.
  • Improve robustness across the full range of real-world user behavior - low-light, fast motion, textureless environments, and difficult geometry.
  • Drive down latency and memory footprint on mobile hardware, offloading compute to GPU where possible. Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong advantage.
  • Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU biases, and time synchronization across multi-sensor mobile configurations.
Research Integration & Evaluation
  • Collaborate with the team's deep learning expertise to evaluate and selectively integrate learning-based methods alongside classical components in the live tracking stack.
  • Build and extend evaluation methodology grounded in real user captures.
  • Translate research progress into shipped capability in a fast-moving environment.
What You Bring
Must-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent demonstrated experience.
  • Significant hands-on experience developing or substantially improving a real-time visual-inertial odometry or VI-SLAM system, with a strong emphasis on camera-based pipelines.
  • Strong C++ (modern, performance-aware) and Python (tooling, prototyping, ML work).
  • Deep working knowledge of multiview geometry, nonlinear estimation, inertial sensing, and the practical failure modes of real-time tracking on resource-constrained devices.
  • Real experience with sensor calibration on real hardware.
  • Ability to read the deep learning literature critically and openness to integrating learned components over time.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience with mobile SLAM or VIO on iOS or Android (iPhone strongly preferred). Familiarity with constrained-system development including ARM, threading, memory profiling, and power-aware design.
  • Direct GPU programming experience - Metal shaders, CUDA kernels, or GPU compute APIs - for offloading SLAM or vision workloads on mobile hardware.
  • Experience with multi-camera and multi-sensor fusion (RGB, depth, IMU) in a mobile or embedded context.
  • Track record of shipping SLAM or visual odometry systems in production on mobile or embedded platforms.
  • Contributor to open-source SLAM or VIO projects (OpenVINS, ORB-SLAM, VINS-Mono, or similar).
What We Offer
Compensation:
  • Salary Range: $175,000 - $230,000.
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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