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Optimization Algorithms Jobs in Austin, TX (NOW HIRING)

Stay up to date on search algorithm changes and industry trends Requirements * Strong foundation in SEO, including technical, on-page, and content-driven strategies * Experience improving organic ...

Stay up to date on search algorithm changes and industry trends Requirements * Strong foundation in SEO, including technical, on-page, and content-driven strategies * Experience improving organic ...

Stay up to date on search algorithm changes and industry trends Requirements * Strong foundation in SEO, including technical, on-page, and content-driven strategies * Experience improving organic ...

We are seeking a Senior Web Publisher / SEO Manager to own two deeply connected functions: our ... Monitor algorithm updates and the rapidly evolving AI search landscape; adapt strategy proactively ...

We are seeking a Senior Web Publisher / SEO Manager to own two deeply connected functions: our ... Monitor algorithm updates and the rapidly evolving AI search landscape; adapt strategy proactively ...

SEO/AEO Strategist

Austin, TX · On-site

$75K - $90K/yr

Monitor the SERP landscape, competitor positioning, and algorithm updates on an ongoing basis * Maintain and evolve keyword tracking and reporting infrastructure Technical SEO * Conduct regular site ...

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Optimization Algorithms information

See Austin, TX salary details

$40

$59

$81

How much do optimization algorithms jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for optimization algorithms in Austin, TX is $59.12, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $72.93 per hour, depending on experience, location, and employer.

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Optimization Algorithms jobs in Austin, TX look for? The top searched job categories for Optimization Algorithms jobs in Austin, TX are:
What cities near Austin, TX are hiring for Optimization Algorithms jobs? Cities near Austin, TX with the most Optimization Algorithms job openings:
Infographic showing various Optimization Algorithms job openings in Austin, TX as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $122,976 per year, or $59.1 per hour.

Senior AI Compiler Engineer, Algorithms and Code-Generation

Nvidia

Austin, TX

$121K - $160K/yr

Full-time

Posted 23 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 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

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

Year founded

1993