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Remote Cuda Developer Jobs (NOW HIRING)

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Perception Engineer

Boston, MA · On-site +1

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... TensorRT/CUDA, * CI/CD pipelines, and * Git. Ref Job No. N322

MatX

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

... or GPU/CUDA programming * Language: at least one of assembly, C++, C, Zig, or Rust * This is a ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

MatX

Lead Software Engineer, Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

... GPU/CUDA programming * Language: at least one of assembly, C++, C, Zig, or Rust * Ability to ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

H R PUNDITS INC

Senior Graphics Engineer

Santa Clara, CA · Remote

$130K/yr

Remote Rate: $130K per annum Job Responsibilities Develop and optimize features in a modern, low ... CUDA, and TensorRT, or with Python interop such as pybind11 Experience submitting code alongside ...

Mantari

Software Engineer

Torrance, CA · On-site +1

Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware ... Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization ...

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Remote Cuda Developer information

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How much do remote cuda developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote cuda developer in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

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 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.

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.

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Remote Cuda Developer jobs near you
Infographic showing various Remote Cuda Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Computer Vision Software Engineer, Lead

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245705
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Lead
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Knowledge of classical tracking or estimation methods such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, or Triton Inference Server
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premises GPU clusters
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Master's degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics preferred; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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