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Ai Accelerator Jobs in Virginia (NOW HIRING)

CYNET SYSTEMS

DotNet Architect

Richmond, VA · On-site

$66/hr

Leverage AI accelerators / development productivity tools for modernization. * Mentor teams and ensure quality delivery across programs. Nice to Have: * US Healthcare domain experience. * Experience ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice. * Mentor junior developers, conduct code reviews ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice. * Mentor junior developers, conduct code reviews ...

Leidos

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice. * Mentor junior developers, conduct code reviews ...

Elevance Health

Distinguished AI Engineer

Richmond, VA · On-site +1

Build reusable AI services, frameworks, accelerators, and reference architectures leveraged across multiple teams and use cases * Partner with business domain SMEs, product, engineering, architecture ...

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Ai Accelerator information

What are the key skills and qualifications needed to thrive as an AI accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.
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Ai Accelerator jobs near you

AI Accelerator Semiconductor Test Engineering Lead

Fractile

Bristol, VA • On-site

$130 - $160/hr

Other

Posted 5 days ago

Job description

Fractile in Bristol is looking for a Semiconductor Product Engineering Team Leader to drive manufacturing test strategies and ensure silicon production readiness for cutting-edge AI accelerator devices.

The ideal candidate will have over 8 years of experience in semiconductor test engineering, leading teams and collaborating with various departments in a dynamic environment. Responsibilities include directing test methodologies, managing external resources, and optimizing processes to enhance yield and performance.

This role offers the chance to significantly influence advanced technologies and work with a talented team dedicated to innovation.

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