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Assistant Cuda Jobs in Kansas (NOW HIRING)

Assistant Cuda information

What are the key skills and qualifications needed to thrive as an Assistant CUDA Developer, and why are they important?

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 Assistant Cuda roles and responsibilities?

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 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 some 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.
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Junior Software Engineer - Internship

Junior Software Engineer - Internship

Aechelon Technology

Overland Park, KS

Other

Posted 8 hours ago


Job description

We are currently seeking students who have attained Sophomore or Junior Status in Computer Science or Computer Engineering programs to join our Summer Internship program. In addition to technical acumen, we highly value leadership skills as we believe innovation thrives when developers take initiative to make great software.

This position will be a member of our core 3D Graphics Software Engineering team, which develops pC-Nova, Aechelon Technology's industry-leading visual simulation application, based in our Overland Park, Kansas office. This role will be paired with a Mentor who will assist in developing new technologies to improve Aechelon's products. This role will have the opportunity to contribute to Aechelon's shipping products and therefore make a lasting impact on our Company and our end users.


ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collaborate with core 3D Graphics Software Engineering team to develop and enhance pC-Nova, Aechelon Technology's flagship visual simulation application
  • Work closely with dedicated Mentor to design and implement new technologies aimed at improving Aechelon's product offerings
  • Contribute directly to production-level software, with the opportunity to make a meaningful and lasting impact on both company products and end-user experience

REQUIRED QUALIFICATIONS:

  • Passion for developing fast code and solid software engineering principles
  • In-depth knowledge of and experience programming in C or C++ languages
  • Two years progress towards B.S. in Computer Science or Computer Engineering
  • Strong analytical and problem-solving skills
  • Ability to work with export-controlled technology

DESIRED COMPETENCIES:

  • Experience with developing 3D applications with Open GL or Direct3D
  • Experience with rendering engines such as Unreal, Unity or Babylon.js
  • Experience with multi-processing real time systems
  • Experience with GPGPU development using CUDA, OpenCL, or OpenGL Compute
  • Experience with machine-learning technology such as Convolutional Neural Networks
  • Experience with defect tracking systems such as Jira or Bugzilla
  • Experience with Configuration Management (CM) systems such as Perforce
  • Proficiency with scripting languages: bash, Javascript, Python, etc.

We seek people who share our company's values of extraordinary commitment to technology, customers and the pursuit of excellence. We will give you a chance to work with some of the most talented people in the simulation and training industry.