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Contract Software Engineer Gpu Jobs in Missouri (NOW HIRING)

Walmart

Distinguished, Software Engineer

Noel, MO · On-site

$130K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Walmart

Distinguished, Software Engineer

Cassville, MO · On-site

$130K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Walmart

Distinguished, Software Engineer

Anderson, MO · On-site

$130K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Boeing

Experienced Software Engineer

Hazelwood, MO · On-site

  • Medical

  • Life

  • Retirement

Experienced Software Engineer Company: The Boeing Company Boeing Global Services is currently ... Represents the organization as the prime technical contact on contracts and projects * Interacts ...

Boeing

Experienced Software Engineer

Hazelwood, MO · On-site

  • Medical

  • Life

  • Retirement

Experienced Software Engineer Company: The Boeing Company Boeing Global Services is currently ... Represents the organization as the prime technical contact on contracts and projects * Interacts ...

Kforce Technology Staffing

Software Engineer

Pittsburg, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce's client in Pittsburgh, PA is looking for a Software Engineer to join its Strategic ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Trinity Global Consulting

Senior Software Engineer

Saint Louis, MO · On-site

$119K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide software design recommendations to the program manager and Chief Software Engineer ... Paid Time Off - PTO granted in accordance with contract requirements. * Paid Holidays - 11 federal ...

Trinity Global Consulting

Senior Software Engineer

Saint Louis, MO · On-site

$119K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide software design recommendations to the program manager and Chief Software Engineer ... Paid Time Off - PTO granted in accordance with contract requirements. * Paid Holidays - 11 federal ...

Brain Corp

  • PTO

The Sr Staff Software Engineer, Cloud AI Infrastructure is a key contributor within Brain Corp's ... Develop and optimize GPU resource management strategies, improving model serving throughput ...

Leonardo DRS

Embedded Software Engineer Intern

Bridgeton, MO

$41K - $53K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary Leonardo DRS Land Systems is seeking an Embedded Software Engineer Intern for Summer ... Federal contract labor categories and contract wage rates, collective bargaining agreements ...

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All JobsContract Software Engineer Gpu JobsContract Software Engineer Gpu Jobs in Missouri

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.

How much does a contract software engineer Gpu make?

A contract software engineer specializing in GPU development typically earns between $50 and $150 per hour, depending on experience, location, and project complexity. Senior engineers with specialized skills in CUDA, OpenCL, or similar tools may command higher rates, especially for short-term or high-demand projects.

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:

What job categories do people searching Contract Software Engineer Gpu jobs in Missouri look for?

The top searched job categories for Contract Software Engineer Gpu jobs in Missouri are:

Contract Software Engineer Gpu jobs near you

AI and ML Infra Software Engineer, GPU Clusters

Jobtailor

California, MO • On-site

$120 - $190/hr

Other

Posted 8 days ago

Job description

  • Collaborate closely with our AI and ML research teams to understand their infrastructure needs and obstacles
  • Monitor and optimize the performance of our infrastructure ensuring high availability, scalability, and efficient resource utilization
  • Help define and improve important measures of AI researcher efficiency, ensuring that our actions are in line with measurable results
  • Collaborate with diverse teams, including researchers, data engineers, and DevOps professionals, to build a seamless and coordinated AI/ML infrastructure ecosystem
  • Stay on top of the latest advancements in AI/ML technologies, frameworks, and effective strategies, and promote their implementation within the company
Requirements
  • Recent graduate with a MS, PhD or equivalent experience in Computer Science or related field
  • Proven experience in AI/ML and HPC workloads and infrastructure
  • Hands-on experience in using or operating High Performance Computing (HPC) grade infrastructure
  • In-depth knowledge of accelerated computing (e.g., GPU, custom silicon)
  • Storage (e.g., Lustre, GPFS, BeeGFS)
  • Scheduling & orchestration (e.g., Slurm, Kubernetes, LSF)
  • High-speed networking (e.g., Infiniband, RoCE, Amazon EFA)
  • Containers technologies (Docker, Enroot)
  • Expertise in running and optimizing large-scale distributed training workloads using PyTorch (DDP, FSDP), NeMo, or JAX
  • Deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines
  • Proficiency in programming & scripting languages such as Python, Go, Bash
  • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)
  • Experience with parallel computing frameworks and paradigms.
  • Passion for continual learning and keeping abreast of new technologies and effective approaches in the AI/ML infrastructure field.
  • Excellent communication and collaboration skills
Core Competencies

Demonstrates expertise in AI/ML infrastructure, including High Performance Computing (HPC) and accelerated computing technologies. Proficient in optimizing large-scale distributed training workloads and collaborating with diverse teams to enhance AI researcher efficiency.

Highest-signal resume keywords
  • AI/ML Infrastructure
  • High Performance Computing (HPC)
  • Distributed Training Workloads Optimization
  • Programming Languages (Python, Go, Bash)
  • Cloud Computing Platforms (AWS, GCP, Azure)
ATS Optimization KeywordsHard Skills
  • AI/ML Workloads
  • Accelerated Computing
  • Storage Technologies (Lustre, GPFS, BeeGFS)
  • Scheduling & Orchestration (Slurm, Kubernetes, LSF)
  • High-Speed Networking (Infiniband, RoCE, Amazon EFA)
  • Container Technologies (Docker, Enroot)
  • Parallel Computing Frameworks
  • Data Processing
  • Model Training
  • Inference Pipelines
Soft Skills
  • Excellent Communication
  • Collaboration Skills
  • Passion for Learning
Certifications & Qualifications
  • MS or PhD in Computer Science or Related Field
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