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Cuda Jobs in Washington (NOW HIRING)

Quidient

SLAM Engineer

Columbia, MD

$175K - $230K/yr

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 ...

Quid, Inc.

SLAM Engineer

Columbia, MD · On-site

$200 - $250/hr

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 ...

The Josef Group

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

Experience with CUDA, NVIDIA drivers, GPU Operators, or other GPU infrastructure technologies. * Experience with Infrastructure as Code (Terraform, Helm). * Familiarity with observability and ...

Prosync

Software Engineer III (DevOps)

Annapolis Junction, MD · On-site

$54 - $73.75/hr

Experience with GPU/CUDA development for performance-critical applications. * Familiarity with message queue implementation and communication protocols. * Knowledge of Linux system programming and ...

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

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 ...

Blue Star Families

Software Engineer

Ashburn, VA · On-site

Maintain Dockerized Linux builds across x86_64 and arm64 environments, including UBI/Rocky-based images, GCC toolsets, CUDA runtime dependencies, image packaging, and CI/CD build troubleshooting.

Prosync

Software Engineer III (DevOps)

Annapolis Junction, MD · On-site

$54 - $73.75/hr

Experience with GPU/CUDA development for performance-critical applications. * Familiarity with message queue implementation and communication protocols. * Knowledge of Linux system programming and ...

Cubic Corporation

Software Engineer

Ashburn, VA · On-site

Maintain Dockerized Linux builds across x86_64 and arm64 environments, including UBI/Rocky-based images, GCC toolsets, CUDA runtime dependencies, image packaging, and CI/CD build troubleshooting.

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Cuda information

See Washington salary details

$126.3K

$233.3K

How much do cuda jobs pay per year?

As of Sep 7, 2026, the average yearly pay for cuda in Washington is $227,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $232,200.00 and $232,200.00 per year, depending on experience, location, and employer.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What are the most commonly searched types of Cuda jobs in Washington?

The most popular types of Cuda jobs in Washington are:

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

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

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

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

What cities in Washington are hiring for Cuda jobs?

Cities in Washington with the most Cuda job openings:

Cuda jobs near you
Infographic showing various Cuda job openings in Washington as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $227,097 per year, or $109.2 per hour.

Senior Machine Learning Engineer, Radar & Remote Sensing

Jobtailor

Chantilly, VA • On-site

$200 - $250/hr

Other

Posted 12 days ago

Job description

  • Own the radar and ML technical stack across radar/SAR simulation, machine learning, scientific software, and compute infrastructure
  • Act as a technical liaison between radar engineering, machine learning, software engineering, and operations teams
  • Develop and maintain radar and SAR simulation pipelines, including synthetic data generation, scene/return modeling, and validation workflows
  • Design, build, and refine end-to-end ML models and pipelines for radar-related tasks
  • Perform preprocessing, training, evaluation, and deployment-ready packaging
  • Utilize and analyze radar, 3D model, EO/IR, and sensing‑adjacent defense datasets
  • Create radar products and technical deliverables, including APIs, data schemas, containers, documentation, and integration guidance
  • Design, configure, and optimize local compute environments, GPU/eGPU setups, remote compute, storage, networking, containerization, and benchmarking
  • Support ML inference/training on constrained or embedded compute, including RFSoCs and FPGAs
  • Collaborate with RF/hardware partners on RF code processing, radar outputs, and deployable radar hardware productization
  • Help deploy and maintain web applications and internal tools on classified or restricted networks
  • Contribute to technical writing, SBIR proposals, and system documentation
Requirements
  • Active TS/SCI clearance
  • US Citizenship is required
  • Deep experience in Synthetic Aperture Radar, non-imaging radar, remote sensing, or signal processing
  • Solid understanding of radar/SAR fundamentals, including I/Q and complex‑valued data, simulation techniques, image formation algorithms and radar‑to‑image pipelines, and coherent vs. incoherent processing
  • Proven experience with radar or remote sensing simulations
  • Strong proficiency with scientific Python libraries, including NumPy, PyTorch, SciPy, Matplotlib, Jupyter, and related scientific stacks
  • Ability to build end-to-end ML pipelines encompassing data preprocessing, training, evaluation, versioning, packaging, and hand‑off to other engineers
  • Hands‑on experience with GPU compute, including PyTorch, CUDA, NVIDIA tooling, remote GPU servers, and local GPU compute
  • Ability to explain radar/ML concepts to non‑radar engineers and produce clear technical deliverables
  • Adherence to software engineering principles and best practices, including clean code, testing, and version control
  • Exceptional communication skills and ability to produce high‑quality technical documentation and deliverables
  • Prolonged periods sitting at a desk and working on a computer
  • Must be able to lift up to 10–15 pounds at a time
Core Competencies

Demonstrates expertise in Synthetic Aperture Radar and machine learning, with a strong ability to develop and maintain radar simulation pipelines and end-to-end ML models. Proficient in scientific Python libraries and GPU compute, with a focus on producing clear technical documentation and deliverables.

Highest‑signal resume keywords
  • Synthetic Aperture Radar Expertise
  • End‑to‑End ML Pipeline Development
  • Scientific Python Proficiency
  • GPU Compute Experience ATS Optimization Keywords Hard Skills
    • Radar Simulation
    • Machine Learning Models
    • Data Preprocessing
    • Image Formation Algorithms
    • Version Control
    • Testing Best Practices
    • Synthetic Data Generation
    • Scene/Return Modeling
    • Coherent Processing
    • Non‑Imaging Radar
    Soft Skills
    • Exceptional Communication Skills
    • Technical Writing
    Certifications & Qualifications
    • Active TS/SCI Clearance
    • US Citizenship
    Industry Keywords
    • Remote Sensing
    • Signal Processing
    • Radar Fundamentals
    • RF Code Processing
    • Embedded Compute
    • Technical Deliverables
    • SBIR Proposals
    • Compute Infrastructure
    • Data Schemas
    • Integration Guidance
    Tools & Technologies
    • NumPy
    • PyTorch
    • SciPy
    • Matplotlib
    • Jupyter
    • CUDA
    • NVIDIA Tooling
    • Remote GPU Servers
    • Containerization
    • APIs
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