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Contract Cuda Developer Jobs in California (NOW HIRING)

Codvo.ai

$203K/yr

We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong ... Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with ...

FOCUSKPI INC

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LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

Mountain View, CA (Onsite role) Duration: 12-month contract Pay Range: $115 - 131/hr **No C2C ... Strong understanding of distributed computing and GPU acceleration using CUDA. * Experience with ...

FOCUSKPI INC

Be Seen First

LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

Mountain View, CA (Onsite role) Duration: 12-month contract Pay Range: $115 - 131/hr **No C2C ... Strong understanding of distributed computing and GPU acceleration using CUDA. * Experience with ...

FocusKPI Inc.

LLM Research Engineer

Mountain View, CA · On-site

Mountain View, CA (Onsite role) Duration: 12-month contract Pay Range: $115 - 131/hr **No C2C ... Strong understanding of distributed computing and GPU acceleration using CUDA. * Experience with ...

FocusKPI Inc.

LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

Mountain View, CA (Onsite role) Duration: 12-month contract Pay Range: $115 - 131/hr **No C2C ... Strong understanding of distributed computing and GPU acceleration using CUDA. * Experience with ...

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All JobsContract Cuda Developer JobsContract Cuda Developer Jobs in California

Contract Cuda Developer information

What is the difference between Contract Cuda Developer vs Contract GPU Programmer?

AspectContract Cuda DeveloperContract GPU Programmer
Required CredentialsProficiency in CUDA, C++, GPU architecture knowledgeProficiency in GPU programming, CUDA, OpenCL, or similar
Work EnvironmentTech companies, research labs, software development firmsGaming, simulation, scientific computing industries
Employer & Industry UsagePrimarily in tech, AI, and high-performance computing sectorsIn industries utilizing GPU acceleration like gaming and scientific research

The Contract Cuda Developer and Contract GPU Programmer roles both require expertise in GPU technologies and CUDA. However, the Contract Cuda Developer typically focuses more on developing and optimizing CUDA-specific applications, while the Contract GPU Programmer may work across various GPU programming frameworks like OpenCL. Both roles are vital in high-performance computing environments, but their specific focus and industry applications differ slightly.

What are popular job titles related to Contract Cuda Developer jobs in California? For Contract Cuda Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Cuda Developer jobs in California look for? The top searched job categories for Contract Cuda Developer jobs in California are:
What cities in California are hiring for Contract Cuda Developer jobs? Cities in California with the most Contract Cuda Developer job openings:
Contract Cuda Developer jobs near you

(US) Edge AI Architect- CUDA / C++ / Computer Vision

Codvo.ai

On-site

$203K/yr

Full-time

Re-posted 14 days ago

Job description

Job Description: Edge AI Architect - CUDA / C++ / Computer Vision
Experience Level: 10+ Years
Department: Edge AI & Embedded Systems

About the Role:

We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong background in Edge AI devices, computer vision algorithms, and AI model deployment in the MedTech domain. This role is pivotal in developing and optimizing AI-powered medical devices that operate at the edge, ensuring performance, reliability, and compliance with healthcare standards.


Key Responsibilities:

           Design, develop, and optimize AI models for deployment on Edge AI devices in medical applications.

           Implement and evaluate computer vision algorithms for real-time video and image analysis.

           Collaborate with cross-functional teams to integrate AI solutions into embedded systems and medical devices.

           Ensure compliance with SaMD classification, regulatory standards, and quality processes.

           Document design specifications, test protocols, and validation reports in accordance with regulatory requirements.

           Communicate technical findings and project updates effectively to stakeholders.


Required Qualifications:

           Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field.

           8+ years of experience in AI engineering, preferably in medical devices or healthcare technology.

           Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius).

           Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with custom GPU configuration

           Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools.

           AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding

           Understanding of SaMD regulations, ISO 13485, IEC 62304, and related standards.

           Experience with embedded systems development and real-time processing.

           Excellent verbal and written communication skills.


Nice to Have:

           Experience testing or developing AI systems for surgical applications.

           Familiarity with test data validation for computer vision and video-based AI models.

           Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare.

           Experience with cloud-edge integration and CI/CD pipelines for AI deployment.

Employment Type: FULL_TIME

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