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Intern Software Engineer Gpu Jobs (NOW HIRING)

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $188K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

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 ...

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 ...

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 ...

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Intern Software Engineer Gpu information

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

As of Aug 20, 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.

What cities are hiring for Intern Software Engineer Gpu jobs?

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What are the most commonly searched types of Software Engineer Gpu jobs?

The most popular types of Software Engineer Gpu jobs are:

What states have the most Intern Software Engineer Gpu jobs?

States with the most job openings for Intern Software Engineer Gpu jobs include:

Principal Software Engineer, GPU Firmware and GPU System Software - CSP Engagements

NVIDIA Gruppe

Santa Clara, CA • On-site

$272 - $431.25/hr

Other

Posted 2 days ago

New


Job description

Principal Software Engineer – GPU Firmware & System Software

We’re looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA’s feature roadmap and delivery plan, and ensure customer‑side automation and recovery procedures are ready before each firmware release. Your cross‑CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone.

What You’ll Be Doing
  • Drive GPU firmware & software work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management
  • Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (multi‑tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA’s GPU firmware/software feature roadmap and delivery plan
  • Drive GPU firmware update orchestration for large‑scale deployments — multi‑GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack
  • Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well‑documented and accessible for customer integration
  • Identify cross‑CSP GPU SW/FW issue patterns — common update failures, recovery gaps, and configuration problems — and drive documentation, tooling, and test strategy improvements
What We Need to See
  • 15+ years of experience in GPU system software, GPU firmware, or accelerator platform engineering. BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • Deep understanding of GPU architecture internals: streaming multiprocessors, GEMM execution, compute kernels, memory hierarchy, and how firmware/driver decisions impact GPU compute performance
  • Understanding of multi‑GPU fabric architectures (NVLink, or similar) and how firmware coordinates across multiple GPUs in a rack‑scale system
  • Understanding of GPU firmware architecture: VBIOS, GPU microcontroller firmware, InfoROM, and their interaction with the GPU driver stack
  • Experience with firmware update lifecycle management at scale: multi‑device update sequencing, A/B updates, rollback, staged rollout, emergency recovery
  • Understanding of GPU error handling and recovery flows — how firmware‑level errors propagate through the driver stack to application‑visible failures
  • Experience with GPU health monitoring and telemetry: Xid errors, thermal events, power events, ECC counters, and their significance for firmware/software teams
  • Customer obsession — genuine passion for simplifying GPU firmware integration for fleet‑scale customers. Proven success influencing engineering teams to improve quality and fleet manageability
Ways to Stand Out
  • Direct experience with NVIDIA GPU VBIOS, GPU microcontroller firmware, or GPU driver internals
  • Background in GPU fleet management at 10K+ GPU scale — firmware rollout, health‑based remediation, fleet‑wide configuration management
  • Experience with GPU error taxonomy (Xid classification, NVLink error counters, ECC events) and building runbooks around GPU firmware behavior
  • Understanding of GPU security: secure boot chain, code signing, attestation, debug authentication, multi‑tenancy isolation at the firmware level
  • Familiarity with GPU power management architecture and its impact on workload performance at fleet scale
Salary and Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000USD – 431,250USD. You will also be eligible for equity and benefits.

Equal Opportunity Employer

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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.

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