ZipRecruiter

Log In

1

Ai Localization Jobs in Texas (NOW HIRING)

Fluidstack

Data Center Design Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... You handle multi-jurisdiction code localization across a portfolio. * You generate ideas, sell them ...

Fluidstack

Data Center Design Architect

Austin, TX · On-site

$200K - $250K/yr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... You handle multi-jurisdiction code localization across a portfolio. * You generate ideas, sell them ...

FluidStack

Data Center Design Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... You handle multi-jurisdiction code localization across a portfolio. * You generate ideas, sell them ...

next page

Showing results 1-20

All JobsAi Localization JobsAi Localization Jobs in Texas

Ai Localization information

What is AI localization?

AI localization refers to the process of adapting artificial intelligence systems, such as chatbots, voice assistants, or machine learning models, to work effectively in different languages, cultures, and regions. This involves translating content, adjusting for cultural nuances, and ensuring that the AI understands and responds appropriately to local contexts. AI localization helps make technology accessible and relevant to global audiences, improving user experience and engagement. It often requires a combination of linguistic expertise, technical knowledge, and cultural awareness.

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

To thrive as an AI Localization Specialist, you need expertise in linguistics, translation, and a solid understanding of AI or machine learning concepts, often supported by a degree in languages, translation, or computer science. Proficiency with localization management systems, CAT tools, and familiarity with programming languages or AI platforms is highly beneficial. Strong attention to detail, cross-cultural communication, and problem-solving skills help ensure accurate and culturally appropriate translations. These skills are crucial for delivering localized AI products that resonate with global users and maintain technical accuracy.

How does an AI Localization specialist typically collaborate with engineering and product teams during a project?

AI Localization specialists often work closely with engineering and product teams to ensure that AI-driven products are accurately adapted for different languages and regions. This involves regular meetings to discuss project requirements, reviewing source content, and providing feedback on technical constraints that may impact localization. Close collaboration helps address challenges such as adapting user interfaces, maintaining context in translations, and ensuring cultural relevance. Effective communication and an understanding of both linguistic and technical aspects are key to delivering a high-quality localized product.
What are popular job titles related to Ai Localization jobs in Texas? For Ai Localization jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Localization jobs in Texas look for? The top searched job categories for Ai Localization jobs in Texas are:
What cities in Texas are hiring for Ai Localization jobs? Cities in Texas with the most Ai Localization job openings:
Ai Localization jobs near you
Infographic showing various Ai Localization job openings in Texas as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Principal GPU/NPU AI System Architect

Principal GPU/NPU AI System Architect

Advanced Micro Devices, Inc

Austin, TX • On-site

$185K/yr

Full-time

Posted yesterday

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

22nd of 139 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
The AI Architect will define and drive end-to-end AI system architecture for embedded and edge platforms, with deep expertise in GPU/NPU micro-architecture, AI software stacks, and model behavior. This role bridges silicon capabilities, system software, and AI models, enabling performant, power-efficient, and safe AI deployments across robotics, automotive, and industrial markets. The architect will own technical solutioning from model selection through deployment, working closely with silicon, compiler, software, and product teams, and will represent the AI architecture vision with customers and partners.
THE PERSON:
We are seeking a senior AI systems architect with deep expertise across GPU/NPU architecture, AI software stacks, and model behavior. This individual operates at the intersection of silicon, system software, and applied AI - translating real-world robotics, automotive, and industrial workloads into scalable, production-ready AI platform architectures.
The ideal candidate combines hardware-aware AI model understanding with embedded deployment experience, and can drive full-stack architectural trade-offs across performance, power, memory, safety, and lifecycle constraints. They are technically hands-on when needed, yet comfortable influencing silicon roadmaps, guiding cross-functional teams, and representing architectural strategy with customers and ecosystem partners.
This is a high-impact technical leadership role requiring strong architectural judgment, cross-functional influence without direct authority, and the ability to bridge research, productization, and long-term platform evolution.
KEY RESPONSIBILITIES:
GPU / NPU Architecture & HW-SW Co-Design
  • Develop deep architectural understanding of GPU, NPU, and heterogeneous SoC designs, including memory hierarchies, interconnects, scheduling, and power/performance trade-offs.
  • Guide HW-SW co-optimization strategies for AI workloads across vision, perception, planning, and control.
  • Influence silicon and platform roadmaps using model-driven architectural insights from robotics, automotive, and industrial workloads.
  • Collaborate across silicon, system engineering, software, thermal/mechanical, security, and product teams.
  • Technically lead internal AI engineers and work closely with partners, ISVs, and customers.
  • Act as a technical authority and mentor, influencing architecture decisions without direct reporting authority.
    • Architect AI solutions with strong understanding of model internals (CNNs, Transformers, multi-modal models, sensor fusion, perception stacks).
    • Evaluate and map model characteristics (latency, memory bandwidth, precision, sparsity) onto GPU/NPU execution.
    • Drive model optimization strategies (quantization, pruning, distillation, compilation flows) aligned with embedded constraints.

Model-Aware AI System Architecture
  • Software Stack & Deployment Solutioning
    • Define and optimize AI software stacks spanning:
    • Frameworks (PyTorch, ONNX, TensorRT-like runtimes)
    • Compilers, graph optimizers, and runtime schedulers
    • Drivers, firmware, and OS integration
  • Lead solutioning for edge and embedded deployment, including OTA updates, lifecycle management, and production-grade robustness.
  • Ensure scalability from prototype • production • long-term maintenance.

Domain-Focused Architecture Leadership
  • Robotics: perception, localization, SLAM, manipulation, real-time decision pipelines.
  • Automotive: ADAS, autonomous perception, sensor fusion, safety-critical AI execution.
  • Industrial: vision inspection, predictive maintenance, autonomous systems, real-time analytics.
  • Translate domain use-cases into architectural requirements and reusable platform capabilities.

PREFERRED EXPERIENCE:
  • Deep expertise in GPU and/or NPU architecture and execution models.
  • Strong hands-on experience with AI models and inference pipelines, not just framework usage.
  • Proven background in embedded / edge AI systems.
  • Strong understanding of hardware-aware model optimization techniques.
  • Experience in robotics, automotive, or industrial AI domains.
  • Ability to translate customer problems into scalable architectural solutions.
  • Motivating leader with good interpersonal skills; cross-functional & external leadership

ACADEMIC CREDENTIALS:
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
LOCATION: Austin, TX or San Jose, CA
This role is not eligible for visa sponsorship.
#LI-BW2
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

Apply