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Ai Accelerator Jobs in Texas (NOW HIRING)

Mythic

Senior Silicon Emulation Engineer

Austin, TX

$120K - $225K/yr

Develop and maintain emulation platforms for AI accelerator / AI-centric SoCs * Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments * Enable early ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

Develop and maintain emulation platforms for AI accelerator / AI-centric SoCs * Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments * Enable early ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

Develop and maintain emulation platforms for AI accelerator / AI-centric SoCs * Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments * Enable early ...

Restaurant365

Senior AI Enablement Manager

Austin, TX · On-site

AI Accelerator Bonus Program * Coordinate administration of the $100K AI accelerator bonus program in partnership with Total Rewards. * Define program requirements and qualifying criteria in ...

Tenstorrent

Program Manager, IP Product

Austin, TX · On-site

$100K - $500K/yr

We build RISC-V CPU and AI accelerator IP that our customers integrate into their own silicon, and we treat that as a partnership rather than a handoff. The IP Product Team is where deep tech meets ...

Hp

Embedded AI/ML Developer

Spring, TX · On-site

$117K - $154K/yr

Integrates machine learning inference engines, model runtimes, and AI accelerators into embedded firmware and system software environments. * Collaborates with cross-functional teams to define AI ...

Arago Inc

What you'll do As Architecture Modeling Engineer you will own performance modeling and workload analysis for Arago's optical AI accelerator, working across hardware and software teams to evaluate ...

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Ai Accelerator information

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.

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 does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware and software solutions to improve the performance of artificial intelligence models. They often work with specialized hardware like GPUs or TPUs and use programming skills in frameworks such as TensorFlow or PyTorch to enhance AI processing speed and efficiency.

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What job categories do people searching Ai Accelerator jobs in Texas look for?

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What cities in Texas are hiring for Ai Accelerator jobs?

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Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Software Developer, Scaled Ops AI Acceleration Team

Meta

Austin, TX • On-site

Full-time

Re-posted 8 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking experienced Software Developer to join the Scaled Operations AI Accelerator Team. This small team is responsible for rapidly designing, ...

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

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