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Junior Machine Learning Compiler Engineer Jobs in Texas

Neurophos

Staff Compiler Engineer

Austin, TX · On-site

The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator ... learning frameworks and neural network optimization Company : Neurophos develops photonic AI ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

Familiarity with deep learning frameworks and neural network optimization Technical Skills * Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC, custom ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With ...

General Motors

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... Experience developing and deploying machine learning models Compensation: The compensation ...

Ericsson

AI Compiler Design Engineer

Austin, TX · On-site

Concurrency & Memory Modeling - Orchestrate the Machine There's no virtual memory here. No garbage ... This is production compiler engineering in the truest sense. What happens once you apply? Click ...

Targeted Talent

Compiler Tech Lead

Dallas, TX

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future ...

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · On-site

$161K - $218K/yr

We're looking to hire a junior to mid-level candidate to join out GPU Architecture team at Arm in ... What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · Hybrid

$161K - $218K/yr

We're looking to hire a junior to mid-level candidate to join out GPU Architecture team at Arm in ... What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

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Junior Machine Learning Compiler Engineer information

What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What does a Junior Machine Learning Compiler Engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Compiler Engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Texas? The most popular types of Machine Learning Compiler Engineer jobs in Texas are:
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Junior Machine Learning Compiler Engineer jobs near you
Senior AI Compiler Engineer, Algorithms and Code-Generation

Senior AI Compiler Engineer, Algorithms and Code-Generation

Nvidia

Austin, TX

$121K - $160K/yr

Full-time

Posted 6 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 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AI, recommendation systems, image classification, speech recognition, etc. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA's inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.

What we need to see:

  • Bachelor's, master's or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.

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

  • Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).

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

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Proficient in CPU and/or GPU architecture especially modern Nvidia GPUs like Hopper and Blackwell

  • Understanding of deep learning models, algorithms, and frameworks, such as PyTorch, JAX.

  • GPU kernel authoring and performance analysis using tools such as Nsight Compute.

  • A track record of success in mentoring early-career engineers and interns is a bonus.

  • Track record on new hardware bring-up is a plus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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 July 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.

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

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