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Remote Cuda Developer Jobs in Virginia (NOW HIRING)

DeepSig Inc

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $185K/yr

Description Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the ... CUDA) * Software-defined radio (SDR) experience * Embedded system experience * This opportunity is ...

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Remote Cuda Developer information

How does a Remote CUDA Developer typically collaborate with team members across different locations?

As a Remote CUDA Developer, you will frequently collaborate with cross-functional teams such as data scientists, software engineers, and product managers through virtual meetings, code reviews, and collaborative platforms like GitHub or GitLab. Clear communication and thorough documentation are essential since team members may be in different time zones. You can expect to participate in regular stand-ups, sprint planning, and peer programming sessions, ensuring alignment and smooth integration of your GPU-accelerated code into larger projects. Tools like Slack, Zoom, and project management platforms help maintain connectivity and workflow efficiency.

What is a Remote CUDA Developer?

A Remote CUDA Developer is a software engineer who specializes in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to develop parallel computing applications, often for high-performance tasks like machine learning, scientific computing, or data analysis. They work remotely, collaborating with teams online rather than being physically present in an office. These developers write and optimize code to run efficiently on NVIDIA GPUs, enabling applications to process large amounts of data much faster than traditional CPU-only solutions.

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

To thrive as a Remote CUDA Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid understanding of GPU architecture, typically backed by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU debugging tools, and version control systems like Git is commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help distinguish high performers in this role. These skills are vital for efficiently delivering high-performance computing solutions and collaborating seamlessly with distributed teams.

What is the difference between Remote Cuda Developer vs Remote Machine Learning Engineer?

AspectRemote Cuda DeveloperRemote Machine Learning Engineer
Required CredentialsCUDA programming certifications, computer science degreeMachine learning certifications, data science background
Work EnvironmentSoftware development, GPU optimizationModel development, data analysis
Industry UsageHigh-performance computing, gaming, AIAI, data science, predictive modeling

Remote Cuda Developers focus on GPU programming and optimization using CUDA, primarily in high-performance computing and AI applications. Remote Machine Learning Engineers develop and deploy machine learning models, often utilizing GPU resources but with a broader focus on data and algorithms. While both roles may involve GPU expertise, Cuda Developers specialize in low-level programming, whereas Machine Learning Engineers work on model development and deployment.

What are popular job titles related to Remote Cuda Developer jobs in Virginia? For Remote Cuda Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Cuda Developer jobs in Virginia look for? The top searched job categories for Remote Cuda Developer jobs in Virginia are:
What cities in Virginia are hiring for Remote Cuda Developer jobs? Cities in Virginia with the most Remote Cuda Developer job openings:
Remote Cuda Developer jobs near you
Senior Software Engineer

Senior Software Engineer

DeepSig Inc

Arlington, VA • On-site, Remote

$141K - $185K/yr

Other

Posted 9 days ago

Job description

Description

Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate)


DeepSig is the industry leader in ML-based signal sensing with a strong product portfolio. We are seeking a Senior Software Engineer to expand that portfolio utilizing the latest technology to meet the demands of a rapidly evolving industry.


In this role, you will participate in the influence of the full product development life cycle: from requirements and design through development, validation, documentation, launch, and ongoing maintenance. You will work directly with key customers and product stakeholders to shape the roadmap and deliver high-impact features.


As part of the process, we may invite you to complete a short, practical exercise to showcase your development skills.


What You'll be Doing:

  • Expand and maintain DeepSig signal sensing products
  • Work with product stakeholders to contribute to the roadmap, delivering customer and engineering-driven features
  • Keep up with software and hardware advances and industry best practices; identify appropriate technologies and chart a course for their integration
  • Create and maintain technical designs; lead and participate in design reviews to ensure quality and alignment across the team
  • Manage build systems and dependencies
  • Work directly with key customers to establish requirements, design solutions, develop, and deliver

Tech Stack:

  • C++17
  • NVIDIA stack (CUDA, TensorRT)
  • Python, PyTorch
  • CMake
  • Docker
  • GitLab
  • GoogleTest, pytest

What We Need to See:

  • Candidates must be authorized to work in the United States by US citizenship to meet certain information processing and contract requirements
  • Bachelor's degree in Electrical Engineering, Computer Science, or related field; Master's degree preferred
  • 7+ years of C++ development experience with strong command of modern C++
  • Experience developing and maintaining build environments for C/C++ applications (Make/CMake)
  • Demonstrated experience across full software development life cycle
  • Technical leadership experience such as mentoring engineers, leading design reviews, and coordinating work across a team

What We Would Like to See:

  • Experience managing CI/CD pipelines (e.g., GitLab CI)
  • Experience developing and deploying applications on Linux (packaging, system services, shell scripting)
  • GPU development experience (e.g. CUDA)
  • Software-defined radio (SDR) experience
  • Embedded system experience
  • This opportunity is ideal if you possess experience in or a strong enthusiasm for AI/ML, HPC, SIGINT, SDR, FPGA, or wireless technology

Working at DeepSig

DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.


DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings.

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