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Contract Software Engineer Gpu Jobs in Missouri (NOW HIRING)

* Design, build and implement SDKs and CLIs to interact with Cloud GPU Services * Engage with ... experience in software development, with a focus on CLI/SDK tools * Proficiency in programming ...

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As a Distinguished Software Engineer, you'll define the long-term technical strategy and ... Deep expertise with Kubernetes, containers, serverless, GPU, statefulset, CICD, git ops ...

Distinguished, Software Engineer

Noel, MO · On-site

$130K - $260K/yr

As a Distinguished Software Engineer, you'll define the long-term technical strategy and ... Deep expertise with Kubernetes, containers, serverless, GPU, statefulset, CICD, git ops ...

As a Distinguished Software Engineer, you'll define the long-term technical strategy and ... Deep expertise with Kubernetes, containers, serverless, GPU, statefulset, CICD, git ops ...

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Contract Software Engineer Gpu information

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

AspectContract Software Engineer GpuContract Software Engineer Cloud
Required CredentialsProficiency in GPU programming, CUDA, OpenCLExperience with cloud platforms, APIs, and cloud-specific tools
Work EnvironmentDeveloping high-performance GPU applications, often on specialized hardwareBuilding and deploying applications on cloud infrastructure, remote environments
Employer & Industry UsageTech companies, AI, gaming, scientific computingCloud service providers, SaaS companies, enterprise solutions
Search & Comparison IntentLooking for GPU-focused software engineering rolesSeeking cloud-based software engineering opportunities

The main difference between Contract Software Engineer Gpu and Contract Software Engineer Cloud lies in their focus areas. GPU roles emphasize high-performance computing and specialized hardware, while cloud roles focus on deploying and managing applications in cloud environments. Both require strong software development skills, but their tools and work settings differ significantly.

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

The most popular types of Software Engineer Gpu jobs in Missouri are:

What are popular job titles related to Contract Software Engineer Gpu jobs in Missouri?

For Contract Software Engineer Gpu jobs in Missouri, the most frequently searched job titles are:

Principal Software Engineer, GPU Firmware, GPU System Software

Jobtailor

California, MO • On-site

$150 - $190/hr

Other

Posted yesterday

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Job description

Responsibilities
  • 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 (e.g., 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
Requirements
  • 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
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