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Cuda Remote 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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Cuda Remote information

Are CUDA programmers in demand?

CUDA programmers are in high demand in fields such as artificial intelligence, data science, and high-performance computing due to their expertise in parallel programming and GPU acceleration. Companies seek professionals with skills in CUDA, C++, and related tools to optimize computational tasks, and job opportunities are growing across various industries that require intensive data processing. Certifications and experience with GPU architectures can enhance employability in this specialized field.

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

To excel as a CUDA Remote Developer, you need strong programming skills in C/C++ and parallel computing concepts, typically supported by a degree in computer science or related field. Familiarity with NVIDIA CUDA Toolkit, GPU architectures, and related development environments is essential. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage remote work challenges. These competencies ensure efficient development of high-performance GPU-accelerated applications and productive teamwork in distributed settings.

What are some common challenges faced by Cuda Remote developers when working with distributed GPU workloads?

Cuda Remote developers often encounter challenges related to optimizing data transfer between remote devices, managing synchronization across distributed systems, and debugging performance issues that arise due to network latency. Collaborating with cross-functional teams, such as data scientists and DevOps engineers, is essential to ensure efficient GPU resource allocation and seamless integration with existing infrastructures. Staying up to date with the latest CUDA libraries and best practices is also important for overcoming these hurdles and delivering scalable, high-performance solutions.

What jobs use CUDA?

Jobs that use CUDA typically include roles in GPU programming, machine learning, deep learning, data science, and high-performance computing. These positions often require knowledge of parallel programming, C++, and NVIDIA's CUDA toolkit to optimize software for GPU acceleration.

Does Nvidia offer remote positions?

Nvidia offers remote positions for various roles, including technical and engineering jobs like CUDA Remote. These positions often require specific skills, such as programming in CUDA and experience with GPU computing, and may be available in flexible or fully remote work environments depending on the role and team needs.

What is the difference between Cuda Remote vs Data Analyst?

AspectCuda RemoteData Analyst
Required CredentialsTechnical certifications, remote work experienceDegree in statistics, data science, or related field
Work EnvironmentRemote, often project-basedOffice or remote, depending on employer
Industry UsageTech, finance, healthcareBusiness, marketing, finance
Common Search/ComparisonRemote tech rolesData analysis jobs

While Cuda Remote focuses on remote technical roles often involving CUDA programming, Data Analysts primarily analyze data to inform business decisions. Both roles may require analytical skills, but Cuda Remote emphasizes technical CUDA expertise in remote settings, whereas Data Analysts focus on data interpretation and visualization, often in office or hybrid environments.

What are CUDA Remote jobs?

CUDA Remote jobs are positions that focus on developing, optimizing, or supporting applications using NVIDIA's CUDA platform, which enables parallel computing on GPUs, and can be performed entirely from a remote location. These jobs typically involve programming in C, C++, or Python, and require knowledge of parallel computing concepts. Remote CUDA roles are common in industries like AI, scientific computing, data analytics, and graphics rendering, allowing professionals to collaborate with teams globally without needing to relocate.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and deep learning can command higher salaries, especially in tech hubs or companies focusing on AI and high-performance computing.
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Cuda Remote jobs near you
Senior Software Engineer

Senior Software Engineer

DeepSig Inc

Arlington, VA • On-site, Remote

$141K - $185K/yr

Other

Re-posted 18 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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