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Nvidia Engineering Jobs in Florida (NOW HIRING)

Kindredventures

Senior Storage Engineer

Miami, FL · On-site

$120 - $150/hr

Storage Engineer About Hydra Host 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 ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL · On-site

This position requires a broad set of skills across engineering disciplines, knowledge of ... g., NVIDIA Jetson, Raspberry Pi) Basic scripting or programming (Python, C/C++) Experience ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL · On-site

This position requires a broad set of skills across engineering disciplines, knowledge of ... e.g., NVIDIA Jetson, Raspberry Pi) • Basic scripting or programming (Python, C/C++) • ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL · On-site

This position requires a broad set of skills across engineering disciplines, knowledge of ... NVIDIA Jetson, Raspberry Pi) · Basic scripting or programming (Python, C/C++) · Experience ...

Deloitte

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ... Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ...

Pivotal

Autonomy Engineer II - Robotics

Miami, FL · On-site

$80 - $100/hr

Bachelor's degree in Robotics, Computer Science, Aerospace Engineering, Electrical Engineering ... Experience with NVIDIA Jetson, embedded Linux systems, or edge computing platforms. * Familiarity ...

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T) * Exposure to distributed computing ...

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Nvidia Engineering information

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How much do nvidia engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for nvidia engineering in Florida is $109,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What are the most commonly searched types of Nvidia Engineering jobs in Florida?

The most popular types of Nvidia Engineering jobs in Florida are:

What are popular job titles related to Nvidia Engineering jobs in Florida?

For Nvidia Engineering jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Nvidia Engineering jobs in Florida look for?

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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,753 per year, or $52.8 per hour.

Senior Storage Engineer

Kindredventures

Miami, FL • On-site

$120 - $150/hr

Other

Posted 22 days ago

Job description

Job Title: Storage Engineer

About Hydra Host

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. Hydra Host is building the next-generation bare-metal GPU infrastructure network and marketplace under its Brokkr platform. The company enables independent data centers to monetize GPU capacity while providing enterprises with scalable, high-performance access to NVIDIA-based compute (e.g., H100, H200, B200, L40S, RTX 4090). As we expand our infrastructure capabilities, Hydra Host is now seeking a Storage Engineer to lead the architecture, development, and deployment of our next-generation AI/HPC storage platform.

The Role

As a Storage Engineer, you will be responsible for designing and building Hydra Host’s first production‑grade storage platform from the ground up, supporting the company’s rapidly expanding network of bare-metal GPU clusters. You’ll own the architecture, technology selection, implementation, and evolution of this platform, defining how Hydra Host manages data for large-scale, distributed AI workloads across global data centers. This is a senior, hands‑on role for an engineer who has built storage systems for GPU clusters before, with deep expertise in both block and object storage and a strong understanding of parallel file systems, performance optimization, and large‑scale orchestration.

Key Responsibilities
  • Define, architect, and implement Hydra Host’s first production storage platform tailored for bare-metal GPU clusters and AI/HPC workloads.
  • Lead all technical decisions around storage stack design, from hardware infrastructure to parallel file system orchestration and performance tuning.
  • Select, build, and maintain storage solutions spanning both block (NVMe, SAN, Ceph, etc.) and object storage (S3‑compatible, custom, or Ceph Object Gateway) layers.
  • Design for high‑throughput, low‑latency access, supporting large datasets, rapid checkpointing, and parallel access for distributed AI training workloads.
  • Integrate and optimize parallel file systems such as Lustre, BeeGFS, Spectrum Scale, WekaIO, or CephFS, ensuring maximum performance and fault tolerance.
  • Ensure compatibility across Hydra’s diverse GPU/OEM ecosystem, accounting for unique firmware, BMC/Redfish APIs, and hardware configurations.
  • Develop automation, observability, and management tooling for storage, focusing on reliability, scalability, and efficiency.
  • Act as a builder and architect: deeply hands‑on in deployment, troubleshooting, and optimization, while guiding long‑term storage roadmap.
  • Collaborate cross‑functionally with GPU, HPC, and platform engineering teams to integrate storage with compute and network layers.
  • Interface with customers and product leadership to define feature priorities, performance benchmarks, and future enhancements.
Must-Have Qualifications
  • 8+ years of progressive, hands‑on experience designing and implementing high-performance storage systems for compute clusters in HPC, AI, or bare-metal cloud environments.
  • Proven track record building storage infrastructure from scratch, not just operating existing systems.
  • Deep expertise in block storage (NVMe, SAN, Ceph, distributed block systems) and object storage (S3, MinIO, Ceph Object Gateway, etc.).
  • Strong background in parallel file systems (WekaIO, BeeGFS, Lustre, Spectrum Scale, or similar) supporting GPU or AI cluster workloads.
  • Solid foundation in Linux systems engineering, automation, and scripting for distributed environments.
  • Familiarity with BMC, Redfish APIs, and OEM server firmware for bare-metal management.
  • Deep understanding of AI/ML data pipelines: model checkpointing, data locality, and multi-tiered storage optimization.
  • Excellent problem-solving, debugging, and communication skills, able to translate technical decisions into clear architectural direction.
Preferred Qualifications
  • Experience building storage solutions for large-scale GPU or HPC infrastructure.
  • History of technical leadership or mentorship, growing teams or owning a product roadmap.
  • Experience evaluating and managing vendor relationships and negotiating storage hardware/software contracts.
  • Contributions to open-source HPC or storage projects (Ceph, Lustre, BeeGFS, etc.).
  • Familiarity with confidential computing, secure data handling, or high-availability architectures.
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