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Level Jax Jobs in Texas (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer - XLA

Austin, TX · On-site

$103K - $142K/yr

You will optimize inference and training performance for the JAX framework and the OpenXLA compiler ... The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for ...

Staffingine LLC

Java Developer

Dallas, TX · On-site

$48 - $58/hr

... JAX-RS, Hibernate persistence framework. Java 8, Spring Boot, RESTful web services, NodeJS ... Drive high-level design discussions for upcoming work and be able to successfully deliver the code ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

... low-level optimization * Compiler Tools: LLVM, MLIR, GCC, custom compiler backends * Testing: Automated test suites, continuous integration pipelines * Frameworks: PyTorch/JAX/Triton integration ...

Ericsson

AI Model Architect

Austin, TX · On-site

This is deep, architecture-level surgery - partitioning massive parameter models, defining tiling ... Framework Depth - Down to the Graph Advanced proficiency in JAX (strongly preferred), PyTorch, or ...

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$100K - $500K/yr

During the interview process, candidates will be assessed for the appropriate level, and offers ... You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including ...

Neurophos

Staff Compiler Engineer

Austin, TX · On-site

... level AI workloads with custom hardware to enhance performance. Responsibilities : • Design and ... JAX, Triton) • Build and maintain test infrastructure to ensure compiler correctness and ...

Ericsson

AI Model Developer

Austin, TX · On-site

Build and maintain reference implementations using PyTorch or JAX * Develop reproducible ... DISCLAIMER: The above statements are intended to describe the general nature and level of work ...

Broadcom

R&D Principal Software Engineer

Austin, TX

$127K - $226K/yr

Implement and optimize PyTorch and JAX backends using the OpenXLA framework to ensure high ... Experience with low-level GPU kernel development and writing custom kernels (e.g., CUDA, ROCm, or ...

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Level Jax information

What is a Level Jax?

Level Jax jobs typically refer to positions offered by Level Jax, a gaming lounge and esports center located in Jacksonville, Florida. These roles may include game attendants, event coordinators, customer service representatives, and technical support staff. Employees help manage gaming events, assist customers with equipment, and ensure a fun and safe environment for gamers of all ages. Working at Level Jax often requires strong communication skills, a passion for gaming, and the ability to work flexible hours. The company may also offer opportunities for advancement in the growing esports and gaming industry.

What are some common challenges faced by Level Designers at Jax, and how can they be addressed?

Level Designers at Jax often face the challenge of balancing creative vision with technical constraints, such as performance optimization and adherence to gameplay requirements. Collaboration with artists, programmers, and game designers is essential, as feedback and iteration are integral parts of the development process. To address these challenges, clear communication, openness to constructive criticism, and staying up-to-date with industry tools and workflows are key. Being proactive in seeking feedback and regularly playtesting levels can lead to more polished and engaging game environments.

What are the key skills and qualifications needed to thrive as a Level Jax, and why are they important?

I'm sorry, but 'Level Jax' does not appear to be a recognized real-world professional occupation, so I cannot provide an answer for this job title.

What is the difference between Level Jax vs Network Technician?

AspectLevel JaxNetwork Technician
Required CertificationsCompTIA Network+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentData centers, corporate IT departmentsTelecommunications companies, IT support teams
Industry UsageIT, telecommunications, networkingIT, telecommunications, networking

Both Level Jax and Network Technicians require similar certifications like CompTIA Network+ and Cisco CCNA. They often work in data centers, corporate IT, or telecom environments. The main difference lies in specific job roles and responsibilities, with Level Jax typically focusing on more advanced network infrastructure tasks, while Network Technicians handle routine maintenance and troubleshooting.

What are popular job titles related to Level Jax jobs in Texas?

For Level Jax jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Level Jax jobs in Texas look for?

The top searched job categories for Level Jax jobs in Texas are:

What cities in Texas are hiring for Level Jax jobs?

Cities in Texas with the most Level Jax job openings:

Level Jax jobs near you
Infographic showing various Level Jax job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Austin, TX • On-site

$103K - $142K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.

What you will be doing:

In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:

  • Crafting and implementing compiler optimization techniques for deep learning network graphs.

  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.

  • Performance tuning and analysis.

  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.

  • Designing user facing features in JAX and related libraries and other general software engineering work.

  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).

  • 4+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development effort adopting clean software engineering and testing practices.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.

  • CUDA or OpenCL programming experience is desired but not required.

  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:

  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.

  • Extensive experience with CUDA or with GPUs in general.

  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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