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Learning Network Jobs in Austin, TX (NOW HIRING)

Strong understanding of fundamental machine learning algorithms and neural network techniques. * Expertise in at least one modern machine learning domain, such as computer vision, large language ...

Teachers Seeking Certification Support

Austin, TX · On-site +1

$14 - $17.75/hr

Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education. We support preK-12 public education through instructional staffing ...

Teachers Seeking Certification Support

Austin, TX · On-site

$14 - $17.75/hr

Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education. We support preK-12 public education through instructional staffing ...

Strong understanding of fundamental machine learning algorithms and neural network techniques. * Expertise in at least one modern machine learning domain, such as computer vision, large language ...

Network Architect

Austin, TX · On-site +1

$250K - $350K/yr

Job Overview SambaNova Systems is looking for a talented and motivated Network Architect to help us solve the most challenging and impactful problems in machine learning and artificial intelligence.

Proactive approach to learning and adopting new technologies across the infrastructure stack ... network resilience. * ​​​​​Integrating network solutions with Kubernetes and CNI.

26-27 SY Teaching Jobs: Art, Music

Pflugerville, TX · On-site

$41K - $56K/yr

Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education. We support students of all kinds by building strong partnerships between ...

Basic IP networking skills. * Experience using diagnostic tools and test equipment. Preferred ... learning new things and solving problems. You should have strong interpersonal skills and must be ...

26-27 SY Teaching Jobs: Math

Hays, TX · On-site

$45K - $59K/yr

Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education. We support students of all kinds by building strong partnerships between ...

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Showing results 1-20

Learning Network information

What is a Learning Network job?

A Learning Network job typically involves facilitating knowledge-sharing and collaboration among individuals or organizations. Professionals in this role design, implement, and support learning initiatives, often leveraging digital platforms and communities. They help connect people, curate resources, and foster a culture of continuous learning. This may be done within companies, educational institutions, or industry groups. The goal is to enhance skill development and knowledge exchange across participants.

What are the key skills and qualifications needed to thrive in the Learning Network position, and why are they important?

To excel in a Learning Network role, you should possess expertise in instructional design, educational technology, and organizational learning, often supported by a degree in education or a related field. Familiarity with Learning Management Systems (LMS), collaboration platforms, and data analytics tools is highly valuable. Strong communication, networking, and facilitation skills help foster knowledge sharing and collaboration across diverse groups. These competencies are crucial for effectively building, maintaining, and optimizing networks that support ongoing professional development and learning initiatives within organizations.

What are the main responsibilities of someone working in a Learning Network position?

In a Learning Network role, you are primarily responsible for connecting educators or professionals to share best practices, resources, and knowledge within an organization or across institutions. This often involves designing and facilitating virtual or in-person learning events, managing online communities, and curating educational content. You'll collaborate closely with subject matter experts, IT teams, and stakeholders to ensure the network meets the evolving needs of its members. The role can be both strategic and hands-on, offering opportunities to shape learning culture while directly impacting professional growth.

What are popular job titles related to Learning Network jobs in Austin, TX? For Learning Network jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Learning Network jobs? Cities near Austin, TX with the most Learning Network job openings:
Infographic showing various Learning Network job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Austin, TX

$103K - $142K/yr

Full-time

Re-posted 18 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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

Year founded

1993