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Internship Google Developer Jobs in Austin, TX (NOW HIRING)

Neuralink

Quality Assurance Specialist

Austin, TX · On-site

$26.92 - $44.71/hr

Internship, co-op, or up to 1 year of experience in a medical device, pharmaceutical, or life ... Working knowledge of the scientific method and engineering first principles * Excellent ...

Apptronik

Robotics Test Engineer

Austin, TX · On-site

... developer experience. * Cross-Functional Collaboration: Work with stack engineers, firmware ... Hands-on experience with pytest or an equivalent framework (unit test, Google Test, JUnit ...

Neuralink

Manufacturing Technician

Austin, TX · On-site

$27/hr

The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing ... Basic familiarity with Google Suite (e.g., documents, spreadsheets, presentations) Preferred ...

General Motors

Senior AI/ML Engineer - AV Infra

Austin, TX · On-site

$170K - $261K/yr

Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns ... Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services. * Experience with ...

Veryable, Inc.

Business Development Associate

Austin, TX · On-site

$44K - $60K/yr

... Google or any other Silicon-valley based company) * Applicants must have reviewed our website to ... or industrial engineering; * internship or early career experience as an: * * engineer ...

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How much do internship google developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship google developer in Austin, TX is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $24.09 per hour, depending on experience, location, and employer.

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Cities near Austin, TX with the most Internship Google Developer job openings:

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Senior AI/ML Engineer - AV Infra

RTL2 Fernsehen GmbH & Co. KG

Austin, TX • On-site

$120 - $150/hr

Other

Posted 12 days ago

Job description

Senior AI/ML Engineer, AV ML Infra

As a Senior AI/ML Engineer, you will focus on designing and implementing scalable ML infrastructure solutions. You will take ownership of key technical projects, provide mentorship to junior engineers, and collaborate across teams to solve complex problems. This is an individual contributor role emphasizing deep technical impact rather than leadership of large teams.

Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.

About the team

The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.

Key Responsibilities
  • Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
  • Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade‑offs.
  • Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
  • Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
Qualifications
  • 5+ years of experience, with a strong background in large‑scale distributed systems preferred.
  • 1+ years of experience leading and driving large‑scale initiatives.
  • Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
  • Experience working with relational and NoSQL databases.
  • Demonstrated ability to develop and maintain systems at scale.
  • A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
  • A passion for autonomous vehicle technology and its transformative potential.
  • Strong attention to detail and a commitment to accuracy.
  • A proven track record of efficiently solving complex problems.
  • A startup mentality with a willingness to embrace uncertainty and wear multiple hats.
Bonus Points
  • Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
  • Experience with open‑source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
  • Experience with Kubernetes.
  • Understanding of Machine Learning (ML) models/pipelines.
  • Python/C++/Golang proficiency.
  • Relevant publications.
Equal Employment Opportunity (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment.

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