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Intern Software Engineer Gpu Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

GPU Software Engineer

$138K - $185K/yr

GPU Software Engineer Location: USA(Remote) Role Summary We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on ...

Nvidia

System Software Engineer - GPU

Santa Clara, CA · On-site

$203K - $240K/yr

We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build the most stressful set of applications a GPU or high performance ...

Baseten

Software Engineer - GPU Kernels

$143K/yr

Baseten is an innovative company powering AI solutions for leading firms like Notion and OpenEvidence, and they are seeking a GPU Kernel Engineer to enhance AI model performance. This role focuses on ...

Nvidia

Software Engineer, GPU Performance Tools

Hillsboro, OR · On-site

$152K/yr

NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling ...

Roblox

Principal Software Engineer, GPU Compute

San Mateo, CA · On-site

$153K - $206K/yr

As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine ...

Nebius

Senior Systems Software Engineer, GPU Compute

$125K - $165K/yr

The role We're looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is ...

Google

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $189K/yr

Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.). About the job Google's software engineers develop the next-generation ...

Bedgear

Software Engineer Intern

Rock Hill, SC

$25 - $30/hr

Software Engineer Intern ID: 100401 Department: Development Location: Rock Hill, SC Description Job Title : Software Engineer Intern Department : Research & Innovation Reports to: Chief Science ...

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How much do intern software engineer gpu jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for intern software engineer gpu in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Intern Software Engineer Gpu vs Intern Software Engineer Cloud?

AspectIntern Software Engineer GpuIntern Software Engineer Cloud
Required CredentialsComputer Science degree or related, programming skills, familiarity with GPU programmingSimilar credentials, with emphasis on cloud platforms and networking
Work EnvironmentHardware-focused, GPU development labs, research teamsCloud infrastructure, remote teams, data centers
Employer & Industry UsageTech companies, hardware manufacturers, AI researchCloud service providers, SaaS companies, enterprise IT

Intern Software Engineer Gpu roles focus on GPU hardware and software development, often involving parallel computing and AI workloads. Intern Software Engineer Cloud positions emphasize cloud infrastructure, deployment, and scalability. Both roles require strong programming skills and industry knowledge but differ mainly in their technical focus and work environment.

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Intern Software Engineer Gpu jobs near you
Software Engineer - GPU Kernels

Software Engineer - GPU Kernels

Baseten

Manhattan, NY

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.
You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Model Performance team:
  • Baseten Embeddings Inference: The fastest embeddings solution available
  • The Baseten Inference Stack
  • Driving model performance optimization
RESPONSIBILITIES
Core Engineering Responsibilities
  • Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing
  • Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques
  • Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap
Performance & Innovation
  • Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap
  • Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler
  • Collaborate with research teams to productionize theoretical advancements
Impact & Collaboration
  • Contribute to internal and open-source GPU libraries
  • Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)
REQUIREMENTS
  • Strong understanding of GPU architecture and programming paradigms:
    • Memory hierarchy (global, shared, registers, L1/L2 cache)
    • Thread/block/grid organization
    • Synchronization techniques and race condition mitigation
  • Proficient in C++ and GPU performance profiling tools
  • Knowledge of:
    • CUDA C++ API
    • Memory access patterns and bandwidth optimization
    • Numerical precision and quantization strategies
    • Modern GPU features (e.g., tensor cores, async operations)
NICE TO HAVE
  • Experience with Transformer models and attention optimization (e.g., Flash Attention)
  • Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB
  • Background in GEMM tuning and distributed/multi-GPU compute
  • Contributions to open-source GPU projects
  • Research publications or conference presentations on GPU performance
BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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