AI ML Engineer Jobs in Austin, TX
AI ML Engineer jobs in Austin, Texas are concentrated in the Domain, East Austin tech corridor, and Downtown, with strong demand from tech, fintech, and healthtech employers. Companies currently hiring include Amazon Web Services, AMD, and Amazon. Scan the live roles below and apply to whichever ones fit.
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DESCRIPTION
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world.
We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations.
Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us!
Key job responsibilities
- Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products
- Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS
- Implement and improve system level testing across the product lifecycle
- Develop software which can be maintained, improved upon, documented, tested, and reused
- Dive deep on issues at the intersection of hardware and software
A day in the life
As a Platform Development Engineer, you are the dedicated owner of an ML server platform in our fleet. Your mission is to maximize its health, sellability, and customer experience.
You start each day with eyes on the fleet — reviewing dashboards to identify trends and triaging emergent issues, then partnering with hardware and software engineering teams to debug, investigate, and translate findings into permanent fixes. You own the end-to-end testing story and manage tradeoffs between coverage and velocity. You direct new automations, tooling, and data infrastructure to scale your operations. You manage software deployments, debug issues with them, and run status meetings to align all platform stakeholders on how the product is performing.
About the team
The MLA Fleet Operations team was formed to maintain an exceptionally high quality bar for our fleet of advanced machine learning accelerators and server products. We perfect the customer experience by developing scalable software for rapid incident response times and data visualization as well as diving deep into hardware issues as they arise.
BASIC QUALIFICATIONS
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Linux/Unix
- Experience debugging and systems analysis to identify and quickly resolve or mitigate issues
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
PREFERRED QUALIFICATIONS
- 4+ years of hardware design and validation of components, subsystems and systems experience
- Experience with post-silicon validation
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world.
We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations.
Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us!
Key job responsibilities
- Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products
- Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS
- Implement and improve system level testing across the product lifecycle
- Develop software which can be maintained, improved upon, documented, tested, and reused
- Dive deep on issues at the intersection of hardware and software
A day in the life
As a Platform Development Engineer, you are the dedicated owner of an ML server platform in our fleet. Your mission is to maximize its health, sellability, and customer experience.
You start each day with eyes on the fleet — reviewing dashboards to identify trends and triaging emergent issues, then partnering with hardware and software engineering teams to debug, investigate, and translate findings into permanent fixes. You own the end-to-end testing story and manage tradeoffs between coverage and velocity. You direct new automations, tooling, and data infrastructure to scale your operations. You manage software deployments, debug issues with them, and run status meetings to align all platform stakeholders on how the product is performing.
About the team
The MLA Fleet Operations team was formed to maintain an exceptionally high quality bar for our fleet of advanced machine learning accelerators and server products. We perfect the customer experience by developing scalable software for rapid incident response times and data visualization as well as diving deep into hardware issues as they arise.
BASIC QUALIFICATIONS
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Linux/Unix
- Experience debugging and systems analysis to identify and quickly resolve or mitigate issues
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
PREFERRED QUALIFICATIONS
- 4+ years of hardware design and validation of components, subsystems and systems experience
- Experience with post-silicon validation
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
See All 28 AI ML Engineer Jobs in Austin
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Find AI ML Engineer JobsAI ML Engineer Job Market in Austin
Who's Hiring
- Amazon Web Services10
- AMD4
- Amazon4
- UST2
- Apple2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Electronics & Hardware
AI ML Engineer Jobs in Austin: Frequently Asked Questions
How do I get a ai ml engineer job in Austin?
Target Austin's dense tech and fintech clusters, particularly employers in the Domain and Downtown districts, where the largest concentrations of AI and machine learning teams operate. Specializations in large language models, MLOps, and applied data science carry the most weight locally. Contributing to open-source projects, attending Austin-based AI meetups, and building a portfolio with real-world model deployments will distinguish your application from the competition.
Which companies hire ai ml engineers in Austin?
Companies currently hiring ai ml engineers in Austin include Amazon Web Services, AMD, and Amazon, per current listings on Migrate Mate as of September 2026. Austin's hiring mix leans heavily toward mid-size to enterprise tech companies, high-growth fintech startups, and healthcare analytics firms that have established engineering hubs in the city.
Are there remote ai ml engineer jobs in Austin?
Yes, ai ml engineer roles are well-suited to remote and hybrid work given their desk-based, computational nature. About 60% of ai ml engineer openings tied to Austin are remote or hybrid as of September 2026, reflecting how broadly the tech sector has normalized flexible arrangements. Model development, experimentation, and research work tend to be the most remote-compatible functions among Austin-based employers.
How can I get a ai ml engineer job in Austin with little or no experience?
The most realistic entry path in Austin is targeting associate machine learning engineer or data scientist roles at mid-size tech companies and startups in the Domain and East Austin corridors, which tend to hire more junior talent than large enterprises. Austin Community College and UT Austin continuing education programs provide local credentialing that resonates with hiring managers here. Building a public GitHub portfolio with end-to-end ML projects and applying to Austin-based AI-focused startups early in their growth cycles gives entry-level candidates a genuine edge.
Which industries hire the most ai ml engineers in Austin?
The sectors hiring the most ai ml engineers in Austin are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. Austin's rapid growth as a tech and fintech hub, combined with an expanding healthtech presence and a wave of enterprise companies relocating headquarters to the city, drives sustained demand for machine learning talent across those sectors.
See All 28 AI ML Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs