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Assistant Cuda Jobs in Missouri (NOW HIRING)

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Assistant Cuda information

What are the roles and responsibilities of an assistant CUDA developer?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What skills and qualifications are needed to thrive as an assistant CUDA developer?

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are common challenges faced by assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

What are the most commonly searched types of Cuda jobs in Missouri?

The most popular types of Cuda jobs in Missouri are:

What are popular job titles related to Assistant Cuda jobs in Missouri?

For Assistant Cuda jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Assistant Cuda jobs in Missouri look for?

The top searched job categories for Assistant Cuda jobs in Missouri are:

What cities in Missouri are hiring for Assistant Cuda jobs?

Cities in Missouri with the most Assistant Cuda job openings:

Assistant Cuda jobs near you
Infographic showing various Assistant Cuda job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Software Engineer - Integrated HPC & Quantum Solutions

Jobtailor

California, MO • On-site

$150 - $190/hr

Other

Posted 20 days ago

Job description

  • Develop and demonstrate software that supports quantum computing applications and HPC-QC system management through job management, scheduling, compilation, and workflow frameworks.
  • Create software adapters that connect quantum computing software tools (compilers, SDKs) with other tools using open standards where possible.
  • Evaluate open-source and commercial software for inclusion in integrated HPC-QC environments.
  • Develop functional and unit tests, support code quality with automated testing and continuous integration.
  • Assist with code reviews and improve software prototypes.
  • Create mock-up and test bed systems to demonstrate HPC-QC software capabilities.
  • Prepare internal and external demonstrations, create technical documentation, and write portions of research papers relating to software development efforts.
  • Contribute to the development of open specifications and standards to support interoperability in quantum computing.
Requirements
  • Master's degree in Computer Science, Physics, Mathematics, or related field, or equivalent work experience
  • 6 or more years of programming experience
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Experience contributing to large software projects and creating new software efforts, including library API design.
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane).
  • Strong understanding of quantum computing, including skills in understanding and optimizing circuits.
  • Deep understanding of HPC architecture, GPU/CPU function and applicability, cluster design, job scheduling, workload optimization, and performance tuning and testing.
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra.
Core Competencies

Demonstrates advanced programming skills in low-level languages and Python, with a strong understanding of quantum computing and HPC architecture. Capable of developing software tools, conducting code reviews, and contributing to large software projects while ensuring code quality through testing and documentation.

Highest-signal resume keywords
  • Advanced Programming Skills in C, C++, Rust, and Python
  • Quantum Computing Tools Development (Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • HPC Architecture and Performance Tuning
  • Software Testing and Continuous Integration
  • Master's Degree in Computer Science, Physics, Mathematics, or Related Field
ATS Optimization Keywords Hard Skills
  • Programming in C
  • Programming in C++
  • Programming in Rust
  • Programming in Python
  • Quantum Computing
  • HPC Architecture
  • Job Scheduling
  • Workload Optimization
  • Performance Tuning
  • Mathematics (Statistics, Probability, Linear Algebra)
Industry Keywords
  • Quantum Computing Applications
  • HPC-Q System Management
  • Software Development
  • Open Standards
  • Interoperability
Tools & Technologies
  • Qiskit
  • CUDA-Q
  • TensorFlow Quantum
  • Pennylane
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