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Remote Cuda Developer Jobs in Baltimore, MD (NOW HIRING)

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Remote Cuda Developer information

See Baltimore, MD salary details

$83K

$101.8K

$134.6K

How much do remote cuda developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote cuda developer in Baltimore, MD is $101,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $114,300.00 per year, depending on experience, location, and employer.

What is a remote CUDA developer?

A Remote CUDA Developer is a software engineer who specializes in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to develop parallel computing applications, often for high-performance tasks like machine learning, scientific computing, or data analysis. They work remotely, collaborating with teams online rather than being physically present in an office. These developers write and optimize code to run efficiently on NVIDIA GPUs, enabling applications to process large amounts of data much faster than traditional CPU-only solutions.

What skills and qualifications are needed to thrive as a remote CUDA developer?

To thrive as a Remote CUDA Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid understanding of GPU architecture, typically backed by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU debugging tools, and version control systems like Git is commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help distinguish high performers in this role. These skills are vital for efficiently delivering high-performance computing solutions and collaborating seamlessly with distributed teams.

How does a remote CUDA developer typically collaborate with team members across different locations?

As a Remote CUDA Developer, you will frequently collaborate with cross-functional teams such as data scientists, software engineers, and product managers through virtual meetings, code reviews, and collaborative platforms like GitHub or GitLab. Clear communication and thorough documentation are essential since team members may be in different time zones. You can expect to participate in regular stand-ups, sprint planning, and peer programming sessions, ensuring alignment and smooth integration of your GPU-accelerated code into larger projects. Tools like Slack, Zoom, and project management platforms help maintain connectivity and workflow efficiency.

What is the difference between Remote Cuda Developer vs Remote Machine Learning Engineer?

AspectRemote Cuda DeveloperRemote Machine Learning Engineer
Required CredentialsCUDA programming certifications, computer science degreeMachine learning certifications, data science background
Work EnvironmentSoftware development, GPU optimizationModel development, data analysis
Industry UsageHigh-performance computing, gaming, AIAI, data science, predictive modeling

Remote Cuda Developers focus on GPU programming and optimization using CUDA, primarily in high-performance computing and AI applications. Remote Machine Learning Engineers develop and deploy machine learning models, often utilizing GPU resources but with a broader focus on data and algorithms. While both roles may involve GPU expertise, Cuda Developers specialize in low-level programming, whereas Machine Learning Engineers work on model development and deployment.

What are popular job titles related to Remote Cuda Developer jobs in Baltimore, MD?

For Remote Cuda Developer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Cuda Developer jobs in Baltimore, MD look for?

The top searched job categories for Remote Cuda Developer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Cuda Developer jobs?

Cities near Baltimore, MD with the most Remote Cuda Developer job openings:

Remote Cuda Developer jobs near you

Software Engineer 2 (Machine Learning) (TS/SCI with Poly)

SOLERITY

Fort George G Meade, MD • On-site, Remote

$275K - $282K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Description

Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical missions in data analytics, software engineering, and advanced technology systems.


Solerity is seeking a Software Engineer 2 (SWE2). 


ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

  • Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
  • Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
  • Tune pipelines for throughput, and support them through customer transition.
  • Review and test software components against design requirements.
  • Create comprehensive user documentation and establish deployment best practices.
  • Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

Requirements

  • Top Secret Clearance with Full Scope poly
  • Bachelor's Degree in Computer Science or a related discipline. 14+ years of software engineering experience. Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.
  • Strong Python experience
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
  • Beginner/Intermediate experience with orchestration tools such as Kubernetes
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively

Preferred Qualifications/Experience

  • Software Development experience: C++, Java, GoLang, CUDA
  • Experience supporting production ML systems
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledge of model formats and optimization (ONNX, TensorRT)


BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


APPLY TODAY!


JOB ID- 369

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