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Internship Cuda Programmer Jobs in Austin, TX (NOW HIRING)

Senior Deep Learning Compiler Engineer - XLA

Austin, TX · On-site

$103K - $142K/yr

CUDA or OpenCL programming experience is desired but not required. * Experience with the following ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Internship Cuda Programmer information

See Austin, TX salary details

$10

$39

$71

How much do internship cuda programmer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship cuda programmer in Austin, TX is $39.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $56.92 per hour, depending on experience, location, and employer.

What is the difference between Internship Cuda Programmer vs Cuda Developer?

AspectInternship Cuda ProgrammerCuda Developer
CredentialsEnrolled in or recent graduate of Computer Science or related fieldBachelor's or higher in Computer Science, with experience in CUDA programming
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, developing complex GPU-accelerated applications
Industry UsageResearch labs, tech companies, internships for skill developmentTech firms, gaming, scientific computing, high-performance computing

While an Internship Cuda Programmer is typically a learning position for students or recent graduates gaining foundational experience, a Cuda Developer is a full-time professional responsible for designing and optimizing GPU-accelerated software. The roles differ mainly in experience level, responsibilities, and career stage, but both require knowledge of CUDA programming and GPU architecture.

Are internship CUDA programmers in demand?

Internship CUDA programmers are in demand in industries that require high-performance computing, such as gaming, scientific research, and AI development. Proficiency in parallel programming and experience with NVIDIA's CUDA platform increase employability, especially as demand for GPU-accelerated applications grows.

What cities near Austin, TX are hiring for Internship Cuda Programmer jobs?

Cities near Austin, TX with the most Internship Cuda Programmer job openings:

SRE Platform Software Engineer (Early Career / Temporary)

BitDeer

Austin, TX • On-site, Remote

$56.50 - $75/hr

Temporary

Posted 3 days ago

New


Job description

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Position Overview
Join the team building and operating NeoCloud's SRE platform-the multi-region substrate that observes, protects, and operates a global GPU rental fleet across self-built and OEM-rented data centers.
As an Early Career Platform Software Engineer, you will work alongside senior engineers to turn architect-approved designs into production-ready code. You will ship features through GitOps and CI/CD pipelines, build within our Plugin Framework, help meet strict SLOs, and keep our infrastructure drift-free. This is a "build + run" role: you won't just write code; you will help operate critical services that other squads, cloud teams, and tenants depend on, participating in a mentored on-call rotation as you grow.
Key Responsibilities
  • Build & Maintain SRE Microservices: Collaborate with senior mentors to write, test, and deploy features across core platform components (e.g., collection agents, telemetry pipelines, alert engines, or cluster health services).
  • GitOps & Automation: Deliver infrastructure and application updates using modern GitOps practices, declarative configuration, and automated CI/CD pipelines.
  • Observability & Health: Help track, analyze, and optimize system metrics, logs, and traces to ensure high availability across our GPU infrastructure.
  • Operational Readiness: Learn and participate in the on-call rotation for services built by your squad, writing clear runbooks and incident post-mortems.
  • Testing & Quality: Write rigorous unit, integration, and end-to-end tests to ensure platform resilience before shipping to production.

Job Requirements
  • Experience Level: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience / internships). 0-2 years of hands-on software development experience.
  • Programming Skills: Proficiency in Go (preferred), Java, or Rust, along with solid scripting abilities in Python or Bash.
  • Core CS Fundamentals: Strong foundational knowledge of data structures, algorithms, object-oriented design, and distributed systems concepts (e.g., APIs, concurrency, networking basics).
  • Cloud & Containers: Hands-on exposure to Docker, Kubernetes, and Linux fundamentals through coursework, personal projects, open-source contributions, or internships.
  • Testing Discipline: A mindset focused on quality-experience writing unit and integration tests for your own code.
  • Communication & Collaboration: Strong technical writing skills for documenting design choices, runbooks, and clear Pull Request descriptions.

Nice-to-Haves / Strong Pluses
  • Prior internship or project work involving Kubernetes Operators, Helm, or GitOps tools (ArgoCD / Flux).
  • Exposure to time-series databases or observability tools (Prometheus, OpenTelemetry, Grafana, Loki).
  • Basic familiarity with hardware, GPU/AI infrastructure (NVIDIA DCGM, CUDA), or high-performance computing concepts.
  • Familiarity with infrastructure-as-code tools like Terraform or Ansible.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.