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Freelance Nvidia Deep Learning Jobs in Arizona (NOW HIRING)

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... with NVIDIA's physics-accelerated AI tools such as Physics NEMO, Modulus, Warp, or similar platforms for physics-informed deep learning We Value • Proficiency in Python and machine learning ...

Deloitte

Finance Analytics & AI Senior Consultant

Tempe, AZ · On-site

$111K/yr

From learning to leadership, this is your chance to take your career to the next level. Our Senior ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

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Freelance Nvidia Deep Learning information

What is the difference between Freelance Nvidia Deep Learning vs Freelance Machine Learning Engineer?

AspectFreelance Nvidia Deep LearningFreelance Machine Learning Engineer
Required CredentialsKnowledge of Nvidia frameworks, CUDA, deep learning modelsBroader ML skills, Python, frameworks like TensorFlow or PyTorch
Work EnvironmentProject-based, remote, often with tech companies or startupsSimilar, project-based or consulting roles in various industries
Industry UsagePrimarily tech, AI, and research sectors using Nvidia hardwareWide industry application including finance, healthcare, and tech

Freelance Nvidia Deep Learning specialists focus on Nvidia-specific tools and deep learning models, often working on AI projects utilizing Nvidia hardware. Freelance Machine Learning Engineers have a broader scope, working with various ML frameworks and industries. Both roles are project-based and often remote, but Nvidia Deep Learning roles require specialized knowledge of Nvidia technologies.

What are the most commonly searched types of Nvidia Deep Learning jobs in Arizona? The most popular types of Nvidia Deep Learning jobs in Arizona are:
What are popular job titles related to Freelance Nvidia Deep Learning jobs in Arizona? For Freelance Nvidia Deep Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Nvidia Deep Learning jobs in Arizona look for? The top searched job categories for Freelance Nvidia Deep Learning jobs in Arizona are:
What cities in Arizona are hiring for Freelance Nvidia Deep Learning jobs? Cities in Arizona with the most Freelance Nvidia Deep Learning job openings:
Freelance Nvidia Deep Learning jobs near you
Infographic showing various Freelance Nvidia Deep Learning job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior / Staff ML Training Optimization Engineer

3M HEALTHCARE

Phoenix, AZ • On-site

$140 - $210/hr

Other

Posted 3 days ago

New

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world‑class team, we’re unlocking the next era of autonomous transportation with technology that powers commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, we are growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Responsibilities
  • Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
  • Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
  • Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization‑aware training and inference, and compilation/deployment techniques.
  • Work with researchers and ML engineers on best‑practices for optimal resource usage.
  • Create and improve tooling and dashboards to ensure broad adoption of your work.
Qualifications
  • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
  • Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
  • Experience in deep learning frameworks such as PyTorch or Jax.
  • Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
  • Open‑minded and collaborative team player with willingness to help others.
  • Passionate about self‑driving technologies, solving hard problems, and creating innovative solutions.
Bonus / Nice to have
  • Experience in identifying when custom CUDA kernels are needed, and implementing them.
  • Experience in Bazel in a monorepo environment, and integrating third‑party packages into dev environments.
  • Experience with Kubernetes‑based training platforms.
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