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Assistant Cuda Jobs (NOW HIRING)

Spectral MD Inc

Software Engineer

Dallas, TX · On-site

This position will assist in the integration of computer vision algorithms into our Windows-based ... Coordinate CUDA ↔ OpenGL interoperability for real-time visualization Required Qualifications

Spectral MD

Software Engineer

Dallas, TX

This position will assist in the integration of computer vision algorithms into our Windows-based ... Coordinate C# application logic with native GPU components (CUDA / TensorRT / OpenGL / Open3D)

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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 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.

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.

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Assistant Cuda jobs near you
Infographic showing various Assistant Cuda job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 32% Physical, 63% Hybrid, and 5% Remote job distribution.
HPC Support Engineer - TS/SCI Required

HPC Support Engineer - TS/SCI Required

Phoenix Operations Group

Charlottesville, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Job Type
Full-time
Description
HPC Support Engineer - Charlottesville, VA (100% Onsite) - Active TS/SCI Clearance Required
About the Role
Phoenix is seeking an HPC Support Engineer to support users executing computational workloads within advanced Linux-based High Performance Computing (HPC) environments. This role is essential to ensuring efficient, reliable execution of distributed workloads, scientific simulations, and GPU-accelerated processing.
You will work directly with users and systems in a cluster-scale environment, helping optimize job performance, troubleshoot issues, and promote HPC best practices.
What You'll Do
  • Support execution of distributed compute workloads on HPC clusters
  • Troubleshoot job failures and performance issues
  • Assist users with scheduler job submission scripts (e.g., Slurm, PBS)
  • Identify and resolve performance bottlenecks across compute workloads
  • Support GPU-enabled workloads and CUDA-based processing
  • Guide users on efficient cluster utilization and HPC best practices
  • Assist with application execution, compilation, and runtime issues
  • Develop and maintain automation scripts and tooling
Required Qualifications
  • Active TS/SCI clearance
  • Ability to work onsite in Charlottesville, VA
  • 5+ years of experience in Linux environments supporting HPC or distributed compute workloads
  • Experience executing or troubleshooting workloads using:
    • Slurm
    • PBS / PBS Pro
    • Torque or similar schedulers
  • Strong command-line Linux experience (RHEL preferred)
  • Experience with scripting or automation (Bash, Python, or similar)
  • Ability to obtain DoD 8140 (8570) IAT Level II certification
Preferred Qualifications
  • Experience supporting HPC cluster environments
  • Experience with MPI, OpenMP, or parallel computing frameworks
  • Experience supporting GPU workloads and CUDA environments
  • Familiarity with scientific or engineering applications in HPC environments
  • Experience with C/C++ or Fortran and compiler toolchains (GCC, Intel, LLVM)
  • Experience troubleshooting application build or runtime issues
  • Experience supporting research labs, university HPC, or defense environments
Technical Environment
You'll work in a cutting-edge environment that includes:
  • Multi-node Linux HPC clusters
  • Workload schedulers (Slurm, PBS)
  • Distributed computing frameworks (MPI, OpenMP)
  • GPU-enabled compute (CUDA)
  • High-performance networking (RDMA, InfiniBand)
What Makes a Strong Candidate
Top candidates typically come from:
  • HPC workload support or user-facing engineering roles
  • Research computing or university HPC centers
  • National labs or scientific computing environments
  • Defense or intelligence community computing programs
How to Apply
Qualified candidates should submit resumes that clearly highlight:
  • HPC workload execution or troubleshooting experience
  • Scheduler expertise (Slurm, PBS, etc.)
  • Linux-based compute environment experience
  • Distributed workload performance tuning
  • Automation and scripting experience

Benefits Offered:
Medical, Dental, Vision Insurance - 100% Company Paid Premiums
STD, LTD, and Life Insurance - 100% Company paid
401K - Automatic 10% company contribution; no matching required
PTO - 4 weeks/year
Holidays - 11 paid/year
Birthdays off with pay
Referral Bonuses - Upfront AND Annually Recurring
Open Source Bonuses - Contribute to our Github projects
Professional Development - Paid training, Certifications, and Enrichment
ABOUT PHOENIX OPERATIONS GROUP:
Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers.
Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.
Please visit us at http://www.phoenix-opsgroup.com for more information.
Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

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