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Remote Gpu Programming Jobs in Florida (NOW HIRING)

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ...

Remote Gpu Programming information

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

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

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
What are the most commonly searched types of Gpu Programming jobs in Florida? The most popular types of Gpu Programming jobs in Florida are:
What job categories do people searching Remote Gpu Programming jobs in Florida look for? The top searched job categories for Remote Gpu Programming jobs in Florida are:
What cities in Florida are hiring for Remote Gpu Programming jobs? Cities in Florida with the most Remote Gpu Programming job openings:
Customer Support Lead (Infrastructure Platform) at Hydra Host

Customer Support Lead (Infrastructure Platform) at Hydra Host

Hydra Host

Miami, FL • Remote

Other

Medical, Dental, Vision

Posted 23 days ago


Job description

About
Hydra Host is a Founders Fund-backed NVIDIA cloud partner building the infrastructure platform that powers AI at scale. We connect AI Factories - high-performance GPU data centers - with the teams that depend on them: research labs training foundation models, enterprises running production inference, and developer platforms demanding scalable compute capacity.
This isn't a traditional support role. We're solving hard problems at the intersection of physical infrastructure and digital platforms. When a GPU cluster goes down, when AI team is experiencing network degradation, when an SLA on enterprise contract is breached, you're the person who ensures accountability, drives resolution, and documents what went wrong so it never happens again.
We've scaled fast, and our support systems need to catch up. You'll build them almost from scratch - establishing processes, defining SLAs, implementing tooling, and creating the operational discipline that ensures our infrastructure runs with the same precision as the silicon we deploy.
The AI infrastructure layer is being built right now. Companies are scrambling to secure GPU capacity, deploy clusters, and monetize excess compute. We're at the center of that transformation.
You'll work with world-class customers deploying next-gen AI hardware. You'll help solve real infrastructure challenges - not hypothetical SaaS edge cases. And you'll do it alongside a team that values craftsmanship, and moving fast without breaking things (especially GPUs).
What you'll do
  • Handle multi-tier support operations. Manage support for demand-side users (developers and ML teams using GPU compute), enterprise clients (companies deploying private infrastructure), and supply-side operators (data centers running Brokkr). Each has different SLAs, escalation paths, and support needs
  • Work with engineering to solve hard problems. Partner with infrastructure engineers and platform developers to troubleshoot complex issues. You'll figure out what's broken, pull in the right people, get to resolution, and make sure the same problem doesn't happen again
  • Own vendor accountability. When hardware fails, firmware has issues, or deliveries are delayed, you're the quarterback. Track vendor performance, escalate issues, negotiate remediation, and ensure our customers aren't left holding the bag for supplier problems
  • Manage SLA compliance and breaches. Define, track, and enforce SLAs across customer tiers and service types. When breaches occur, coordinate incident response, manage customer communication, and drive postmortem processes
  • Build support infrastructure. Establish ticketing systems, escalation matrices, on-call rotations, playbooks, and knowledge bases. Create the scaffolding that lets support scale from hundreds of customers to tens of thousands without breaking
  • Scale the function. As we grow, hire and mentor a support team. Build the culture and operating principles for support at Hydra Host
Required qualifications
  • 4+ years in customer support, success, or operations roles at technical B2B companies
  • Experience supporting infrastructure, critical, or physical products where uptime and reliability matter
  • Track record of building support processes and systems and scaling them through rapid growth
  • Comfortable with technical concepts: APIs, server infrastructure, networking basics, cloud platforms
  • Stellar communication skills - you can explain complex technical issues clearly to non-technical stakeholders
  • Bias toward action and ownership. You see a problem, you fix it
Preferred qualifications
  • Experience in AI/ML infrastructure, GPU compute, or data center operations
  • Experience implementing systems automation and AI Agents, support bots
  • Familiarity with modern support & CRM platforms (Zendesk, Intercom, Pylon, Linear, Hubspot
  • Prior experience managing or mentoring support teams
What we value
  • Customer obsession - You genuinely care about solving customers problems, communicate proactively, and never leave customers in the dark
  • Principled thinking - You make decisions based on clear principles, not politics or convenience. When there's ambiguity, you fall back on what's right for the customer and the business long-term
  • Technical curiosity - You love learning how things work, even when it's outside your immediate domain
  • Systems thinking - You don't just solve one-off issues; you identify root causes and build solutions that prevent them from recurring
What we offer
  • Equity ownership - Meaningful stake in what we're building together
  • Competitive salary - We pay fairly and transparently
  • Healthcare coverage - Medical, dental, vision for you and your dependents
  • Fully remote team - Remote-first with hubs in Phoenix, Boulder, Miami and periodic team offsites
  • Direct impact - Your work will shape how thousands of GPU clusters get deployed and operated. Early team means your fingerprints are on everything