2

Remote Nvidia Research Jobs (NOW HIRING)

US East/Canada (Remote) Role Overview: We're looking for a Full Stack Software Developer to design ... Work where innovation happens - work with disruptive innovators in a research-focused organization ...

US (Remote) Role Overview: Quantiphi is seeking an experienced AI Engineer to help build a next ... Work where innovation happens - work with disruptive innovators in a research-focused organization ...

Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ... Using AI to re-engineer manual research and personalization tasks, allowing you to handle ...

This innovation supports the critical evolution from research applications to clinical deployment ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

BRT acts as a research and development flywheel, building not only new products but also new ... Remote in the United States * Visa sponsorship : Open to visa sponsorship. Job Responsibilities A ...

Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ... Using AI to re-engineer manual research and personalization tasks, allowing you to handle ...

... NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI ... Location: Bellevue, WA / San Francisco, CA / Remote What You'll Do (Key Responsibilities)

This innovation supports the critical evolution from research applications to clinical deployment ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

Associate Technical Architect - SD .Net

$67.75 - $82/hr

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading ... Remote(USA) What you will do: As an Associate Technical Architect at Quantiphi, you will play a key ...

Showing results 41-60

Remote Nvidia Research information

See salary details

$37K

$106K

$142.5K

How much do remote nvidia research jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote nvidia research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Nvidia ResearchRemote Nvidia Data Scientist
Required CredentialsAdvanced degrees in Computer Science, AI, or related fields; research publicationsDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentResearch labs, collaborative projects, experimental workData analysis, modeling, and deployment in business settings
Employer & Industry UsageNvidia's R&D divisions, academic collaborationsNvidia's analytics teams, product development

Remote Nvidia Research focuses on innovative AI and machine learning research, often involving experimental projects and publications. In contrast, Remote Nvidia Data Scientists analyze data to inform business decisions and develop models. Both roles require technical expertise but differ in their primary objectives and work environment.

More about Remote Nvidia Research jobs
What cities are hiring for Remote Nvidia Research jobs? Cities with the most Remote Nvidia Research job openings:
What are the most commonly searched types of Nvidia Research jobs? The most popular types of Nvidia Research jobs are:
What states have the most Remote Nvidia Research jobs? States with the most job openings for Remote Nvidia Research jobs include:
Infographic showing various Remote Nvidia Research job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 10% As Needed, 78% Full Time, 1% Part Time, 1% Contract, and 6% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Compute Procurement Lead

Andromeda Cluster, Inc

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Compute Procurement Lead
Location: San Francisco, CA or Remote (US) • Full-Time
About Andromeda
Andromeda Cluster is a $1.5B company founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.
We began with a single managed cluster - but it filled almost instantly. Since then, we've been quietly building the systems, network, and orchestration layer that makes the world's AI infrastructure more accessible.
Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it's needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.
Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.
The Role
The Compute Procurement Lead is responsible for sourcing GPU capacity globally on behalf of Andromeda and its customers. The role spans the full supply ecosystem - neoclouds, hyperscalers, colocation operators, data centers, OEMs, and chip vendors including NVIDIA - and covers origination, technical evaluation, and commercial negotiation. You will be responsible for directing up to billions of dollars in compute spend.
This is a technical and commercial role in equal measure. You will evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and travel to sites to assess readiness in person. You will work with compute pricing daily and are expected to develop and defend a view on where the market is heading.
What You'll Own
Global Capacity Sourcing: Find and secure GPU capacity worldwide across neoclouds, hyperscalers, colocation operators, data centers, and emerging providers. Build the pipeline before demand shows up, and keep a live picture of what is available, where, and when.
Supplier & Ecosystem Relationships: Own relationships across the supply chain - neocloud operators, hyperscalers, colocation and data center operators, OEMs and integrators, and chip vendors including NVIDIA. Manage allocation conversations and roadmap access, and be the person suppliers call first when capacity frees up.
Technical Evaluation: Assess capacity from the GPU to the data center: hardware generation and SKU, rack and node configuration, interconnect fabric, storage, power density, cooling, and network topology. Know what a configuration will actually deliver on a real workload, not what the spec sheet claims.
Cost Negotiation: Negotiate pricing and terms with suppliers - GPU-hour rates, capacity commitments, deposits and payment timing, SLAs, and remedies. You will direct up to billions of dollars in compute spend, where every point negotiated compounds across the platform.
Site Evaluation & Travel: Fly to sites and evaluate them in person. Verify power, cooling, deployment readiness, and operator competence, and translate what you see into a clear go/no-go and a defensible price.
Market Pricing: Live in compute pricing daily. Track rates by GPU generation, region, and contract term, understand what is moving them, and make sure Andromeda is never the last to know.
Compute Market Thesis: Build and defend a view on where the compute market is heading - supply coming online, next-generation platform transitions, power constraints, regional and policy shifts - and turn it into concrete sourcing decisions.
What We're Looking For
Deep GPU & Data Center Fluency: You understand GPUs, racks, interconnect, power, and cooling well enough to evaluate a cluster on your own judgment. You can read a configuration and tell whether it will train what the customer says it will.
Sourcing & Negotiation Track Record: Experience sourcing scarce, expensive capacity or hardware and negotiating it hard. You have carried significant spend and closed against real constraints.
Market Instinct: You follow pricing closely and form independent views. You can explain why a rate moved and what it implies for the next six months.
Willingness to Travel: You'll be on the road regularly, often internationally and often on short notice. You see site visits as the highest-signal part of the job, not a chore.
Commercial Judgment: Comfortable with unit economics, TCO, and contract structure. You know when to move fast on capacity and when the price implies something is wrong.
Build Orientation: You'd rather create the process than inherit one. You thrive in a lean, high-trust team with direct leadership access and real autonomy.
Strong Candidates May Have
Neocloud or hyperscaler capacity experience: You've sat on the supply side and know how these operators actually plan, price, and deliver.
NVIDIA or OEM allocation relationships: Experience managing allocation, forecasting, or partner standing directly with a chip vendor or tier-1 OEM.
Data center operations background: Hands-on familiarity with power, cooling, and deployment readiness - enough to spot a site that won't make its date.
Commodity or energy market experience: Background in a market where physical delivery, scarcity, and price discovery all had to be handled at once.
Why You'll Love It Here
• Capacity sourcing is the core of Andromeda's edge - what you secure determines what the entire platform can sell.
• You'll see the global supply picture across dozens of providers and hardware generations, a vantage point almost no one else in the market has.
• Small, senior team with direct access to leadership, short decision paths, and genuine ownership over the outcome.
• Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO
Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.