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Remote Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - Topography

Santa Clara, CA · Remote

$143K - $189K/yr

Strong production engineering experience in Go or another systems language. * Experience with ... NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ...

Nvidia

Senior ASIC Design Engineer

Santa Clara, CA · On-site +1

Proven hardware engineering background with a concentration in VLSI and Computer Architecture ... Strong interpersonal skills and ability to work with on-site and remote teams NVIDIA is widely ...

Nvidia

$135K - $181K/yr

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and ... Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ...

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Remote Nvidia Engineering information

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$57K

$137K

$197K

How much do remote nvidia engineering jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote nvidia engineering in the United States is $137,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $151,500.00 per year, depending on experience, location, and employer.

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.

More about Remote Nvidia Engineering jobs
What cities are hiring for Remote Nvidia Engineering jobs? Cities with the most Remote Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Remote Nvidia Engineering jobs? States with the most job openings for Remote Nvidia Engineering jobs include:
What job categories do people searching Remote Nvidia Engineering jobs look for? The top searched job categories for Remote Nvidia Engineering jobs are:
Remote Nvidia Engineering jobs near you
Infographic showing various Remote Nvidia Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,006 per year, or $65.9 per hour.
Director, Product Marketing - Nvidia Partnership

Director, Product Marketing - Nvidia Partnership

MinIO

Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago

Job description

MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The Director, Product Marketing - Nvidia Partnership will play a pivotal role in shaping how MinIO is positioned within the NVIDIA ecosystem and the broader AI infrastructure stack. This role combines deep technical fluency in GPU-accelerated AI infrastructure with hands-on product marketing ownership of MinIO's most strategic partnership. You will be responsible for understanding how MinIO fits into NVIDIA's reference architectures and the modern inference stack, and translating that knowledge into differentiated messaging, joint content, and go to market strategies that resonate with AI infrastructure buyers, platform engineers, and the field teams selling alongside NVIDIA.
You will collaborate with Engineering, Product Management, Sales, Alliances, and counterparts at NVIDIA to craft and deliver the narratives that position MinIO at the center of the modern AI infrastructure stack. This includes building the technical messaging, integration content, and partner co-marketing programs that articulate joint value and help our sales organization close business with NVIDIA-aligned customers.
What You Will Do:
  • NVIDIA Partnership Narrative: Own the messaging and content that defines MinIO's role in the NVIDIA AI Factory across NVIDIA products. Translate joint engineering work into co-marketing assets, reference architecture content, and customer-facing narratives.
  • Inference Framework Integrations: Develop the technical positioning and content for MinIO's integrations with NVIDIA technologies.
  • Partner Co-Marketing: Partner with NVIDIA's marketing and product teams, and with adjacent ecosystem players, to plan and execute joint launches, joint content, joint events, and co-branded technical assets. Align launch cadence and messaging with NVIDIA's roadmap milestones.
  • Solutions Marketing for Integration Use Cases: Build solutions content that shows how MinIO and NVIDIA infrastructure solve specific customer problems, including agentic inference at scale, multimodal training pipelines, KV cache offload, and large-context serving.
  • Product Launch Execution: Drive the GTM strategy and execution for AIStor and MemKV launches that touch the NVIDIA ecosystem. Coordinate cross-functionally with Product Management, Engineering, Field, Sales, and Communications to land launches that move pipeline.
  • Field Enablement: Build and deliver the enablement content (battlecards, talk tracks, customer presentations, technical briefs) that lets sales engineers and account teams confidently sell MinIO into NVIDIA-led opportunities and to AI infrastructure buyers.

Your Skills and Experience:
  • Bachelor's degree in Marketing, Business, Computer Science, or a related field.
  • 5+ years of experience in product marketing, with at least 3 years focused on AI/ML infrastructure, GPU-accelerated workloads, data platforms, or strategic partner marketing.
  • Demonstrated experience driving partner co-marketing programs with strategic technology partners such as NVIDIA, AWS, Google Cloud, or other hyperscalers.
  • Strong technical acumen on GPU architectures, inference frameworks, distributed training, and modern AI infrastructure. Fluent enough to engage credibly with NVIDIA's product and engineering teams and with technical buyers at customer accounts.
  • Proven ability to translate complex technical capabilities into clear, differentiated narratives for technical buyers and business decision makers.
  • Excellent written and verbal communication skills, with experience creating sales enablement content and customer-facing materials.
  • Track record of executing high-stakes product launches with cross-functional coordination across Product Management, Engineering, Sales, and external partners.
  • Self-starter mentality with the ability to operate independently in a fast-paced, remote-first environment.
  • Direct experience working with or alongside NVIDIA and their ecosystem
  • Hands-on familiarity with inference frameworks and the modern AI serving stack.
  • Background that includes time in technical roles (engineering, solutions architecture, technical pre-sales, or developer relations).
  • Familiarity with MinIO, S3-compatible storage, or high-performance object storage for AI and analytics workloads.

What We Offer:
  • Health Care Plan (Medical, Dental & Vision)
  • 401K with 3% Contribution
  • Pre-IPO Stock Options
  • At least 12 Public Holidays
  • Flexible Time Off

Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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