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Remote Nvidia Engineering 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 ... Work with product stakeholders to contribute to the roadmap, delivering customer and engineering ...

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Remote Nvidia Engineering information

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

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

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

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Remote Nvidia Engineering jobs near you
Senior Software Engineer

Senior Software Engineer

DeepSig Inc

Arlington, VA • On-site, Remote

$141K - $185K/yr

Other

Re-posted 12 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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