ZipRecruiter

Log In

1

Assistant Cuda Jobs (NOW HIRING)

Ambarella

... AI etc. * Assist in creating and curating high-quality datasets for model distillation and ... Strong programming skills in Python, C/C++, CUDA. * Excellent communication skills.

Cerence

Sr. Principal Software Engineer

$185K - $280K/yr

QAIRT * Extend and tune inference engines using custom CUDA kernels * Adapt runtimes for ... voice assistant space, working with all of the world's leading automakers - from Ford and Fiat ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

next page

Showing results 1-20

All JobsCuda JobsAssistant Cuda Jobs

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.
More about Assistant Cuda jobs
What cities are hiring for Assistant Cuda jobs? Cities with the most Assistant Cuda job openings:
What are the most commonly searched types of Cuda jobs? The most popular types of Cuda jobs are:
What states have the most Assistant Cuda jobs? States with the most job openings for Assistant Cuda jobs include:
What job categories do people searching Assistant Cuda jobs look for? The top searched job categories for Assistant Cuda jobs are:
Assistant Cuda jobs near you
Infographic showing various Assistant Cuda job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
HPC Systems Engineer - TS/SCI Required

HPC Systems Engineer - TS/SCI Required

Phoenix Operations Group

Charlottesville, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Description

 HPC Systems Engineer - Charlottesville, VA (100% Onsite) - Active TS/SCI Clearance Required


About the Role

Phoenix is seeking a High Performance Computing (HPC) Systems Engineer to support the build, configuration, and sustainment of advanced Linux-based HPC cluster environments. This role is critical to enabling distributed compute workloads, scientific simulations, and GPU-accelerated processing within a secure research environment.


You will work in a cluster-scale computing environment where performance optimization, scheduler configuration, and distributed workload execution are key to mission success.


What You'll Do
  • Configure, deploy, and maintain multi-node Linux HPC clusters 
  • Administer and optimize workload schedulers (e.g., Slurm, PBS) 
  • Troubleshoot distributed compute workloads across cluster environments 
  • Perform performance analysis across compute, storage, and network layers 
  • Support GPU-enabled workloads and CUDA-based processing 
  • Develop and maintain automation scripts and operational tooling 
  • Assist in cluster provisioning and node deployment (e.g., xCAT, Warewulf) 
  • Support containerized workloads within HPC environments 
Required Qualifications
  • Active TS/SCI clearance 
  • Ability to work onsite in Charlottesville, VA 
  • 6+ years of Linux systems administration experience 
  • Hands-on experience with HPC clusters or distributed compute environments 
  • Experience with workload schedulers such as: 
    • Slurm 
    • PBS / PBS Pro 
    • Torque or similar 
  • Strong command-line Linux administration skills (RHEL preferred) 
  • Experience with scripting or automation (Bash, Python, or similar) 
  • Ability to obtain DoD 8140 (8570) IAT Level II certification 
Preferred Qualifications
  • Experience administering multi-node HPC cluster environments 
  • Familiarity with parallel/distributed file systems (Lustre, BeeGFS, GPFS) 
  • Experience with MPI, OpenMP, or other parallel computing frameworks 
  • Experience supporting GPU compute environments (CUDA) 
  • Familiarity with container technologies: 
    • Docker, Podman, Singularity/Apptainer 
  • Experience with configuration management tools (Ansible, Puppet) 
  • Background supporting research labs, university HPC, or defense environments 
Technical Environment

You'll work with cutting-edge technologies, including:

  • Linux-based HPC clusters 
  • High-performance networking (RDMA, InfiniBand) 
  • Distributed compute frameworks (MPI, OpenMP) 
  • GPU-enabled processing (CUDA) 
  • Cluster provisioning tools (xCAT, Warewulf) 
What Makes a Strong Candidate

Successful candidates typically come from environments such as:

  • HPC cluster administration 
  • Research computing or university HPC centers 
  • National labs or scientific computing programs 
  • Defense or intelligence community computing environments 
How to Apply

Qualified candidates should submit resumes that clearly highlight:

  • HPC or distributed computing experience 
  • Scheduler expertise (Slurm, PBS, etc.) 
  • Linux administration in multi-node environments 
  • Troubleshooting distributed workloads 
  • 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.

Apply