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Assistant Cuda Jobs (NOW HIRING)

Dalcom LLC

C++/CUDA-Signal Processing Engineer

Aberdeen, MD · On-site

$140K - $176K/yr

... to assist with near- and long-term system planning • Prepare technical reports and conference ... with CUDA programming / memory management • Experience with GIT or other version control • ...

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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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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.
C++/CUDA-Signal Processing Engineer

C++/CUDA-Signal Processing Engineer

Dalcom, LLC

Aberdeen Proving Ground, MD • On-site

$140K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Job Title: C++/CUDA Signal Processing Engineer

Company: Dalcom Engineering

Location: Aberdeen Proving Ground, MD

Salary: $140,000-$176,000

Position Overview: Dalcom Engineering is currently seeking a software developer skilled in C++ and CUDA programming, to support Science and Technology (S&T) efforts for radar and signal systems at Aberdeen Proving Ground.

About Us: Founded in 1998, Dalcom Engineering is a HUBZone certified small business committed to providing engineering solutions to the Government and private sectors. Through specializations in computer programing/software development, engineering modeling and combat systems analysis, Dalcom Engineering takes pride in building and empowering teams that will continue to grow with us.

Key Responsibilities:

Develop algorithms for Digital Signal Processing (DSP), Digital Beam Forming (DBF), and general I/Q processing; implement these algorithms in C++ or CUDA and integrate into distributed simulation environment

Coordinate with teams implementing algorithms within MATLAB, as well as within System on a Chip (SoC) embedded solutions (RFSOC)

Provide expertise in signal processing, particularly in the processing of radar I/Q data

Analyze gaps and tradeoffs in existing simulations environment, and develop corresponding Courses of Action (COAs)

Coordinate with internal and external organizations to support requirements definition

Communicate proposed approaches and findings to all levels of leadership

Collaborate in technical discussions to assist with near- and long-term system planning

Prepare technical reports and conference papers describing findings and future work

Write test procedures for algorithm evaluation and analysis

Manage code quality through version control, automated software builds, and automated unit testing

Qualifications/Desired Skills:

Bachelor's degree in Computer Science from an ABET-accredited institution

Active TS/SCI clearance

3+ years of implementation experience in modern C++

Experience with CUDA programming / memory management

Experience with GIT or other version control

Clearly communicates complex ideas and produces high-impact, well-organized presentations in relevant terms for audiences at all levels

In addition to these skills, we also desire a candidate who has provided previous support or has experience with the following:

2+ years of experience in radar system design, development, engineering, test, evaluation, and data analysis

Proactive continuous learner, ideally with public repositories on GitLab, GitHub, etc.

Quality technical writing skills

Development experience on Linux (Redhat) and Windows

Understanding of unit testing in C++ and JAVA environments

1+ years of experience with MATLAB

1+ years of experience with Python

Experience with multithreading and/or C++ optimization

What We Offer:

401(k)

401(k) matching

Dental insurance

Health insurance

Health savings account

Life insurance

Paid time off

Vision insurance

If you're driven by intellectually stimulating work, enjoy collaborating with talented peers, and thrive in a high-performing environment, then Dalcom may be for you!

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About Dalcom

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Greensboro, NC, US

Year founded

1997

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