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Freelance Nvidia Machine Learning Jobs in Idaho (NOW HIRING)

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Freelance Nvidia Machine Learning information

What does a freelance Nvidia machine learning specialist do?

A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.

What are the key skills and qualifications needed to thrive as a freelance Nvidia machine learning specialist?

To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.

What are some common challenges freelance Nvidia machine learning specialists face when working with clients remotely?

Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.

What is the difference between Freelance Nvidia Machine Learning vs Freelance Data Scientist?

AspectFreelance Nvidia Machine LearningFreelance Data Scientist
Required CredentialsKnowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworksStatistics, programming, data analysis skills, often with similar certifications
Work EnvironmentProject-based, remote, often with tech companies or startupsProject-based or consulting, remote or on-site, across various industries
Industry UsageAI, deep learning, GPU-accelerated applicationsData analysis, predictive modeling, business insights

Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.

What are popular job titles related to Freelance Nvidia Machine Learning jobs in Idaho?

For Freelance Nvidia Machine Learning jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Freelance Nvidia Machine Learning jobs in Idaho look for?

The top searched job categories for Freelance Nvidia Machine Learning jobs in Idaho are:

What cities in Idaho are hiring for Freelance Nvidia Machine Learning jobs?

Cities in Idaho with the most Freelance Nvidia Machine Learning job openings:

Freelance Nvidia Machine Learning jobs near you
Infographic showing various Freelance Nvidia Machine Learning job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Sr Product Owner, Industrial & Physical AI, SMAI

Boise, ID • On-site

Micron
Semiconductor and Electronic Component Manufacturing • 10K+ employees

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about Micronexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 hours ago

Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

About our Team:

Micron's Industrial and Physical AI team is driving the next generation of intelligent manufacturing, construction, and facility operations through AI, robotics, digital twins, and automation technologies! We collaborate with distributed team members from construction, manufacturing, facilities, and engineering. Our goal is to deliver scalable AI solutions that enhance safety, accelerate project execution, and optimize performance worldwide at Micron!

Position Overview:

We are seeking a Senior Product Owner, Industrial & Physical AI to define and manage the product roadmap, requirements, and delivery strategy for AI-enabled solutions supporting construction, facilities, EHS, digital twin, and physical AI initiatives. This role serves as the critical link between executive partners and technical delivery teams, ensuring business needs are translated into prioritized product backlogs and successfully delivered across global programs.

Responsibilities:

  • Define and manage the product roadmap for Industrial and Physical AI solutions, aligning priorities with strategicobjectivesand globalmegafabconstruction and operational schedules.

  • Lead collaborator engagement activities with Construction, Manufacturing Operations, Facilities, EHS, Equipment Engineering, and Material Handling teams to identify business requirements, constraints, and success metrics.

  • Translate business needs into clear, testable product requirements, including user stories, acceptance criteria, business and functionalrequirementsdocuments, data specifications, and AI performance metrics.

  • Manage a hybrid Agile and Waterfall delivery framework, balancing capital project stage-gates, system integrations, and software development sprints.

  • Prioritize andmaintaintheproductbacklog while making scope, sequencing, and trade-off decisions in partnership with business and technical leaders.

  • Partner closely with software, data, AI/ML, andintegrationengineering teams throughout planning, development, testing, release, and adoption activities.

  • Lead user acceptance testing, coordinate transitions, training, deployment, performance reporting, and vendor management to ensure successful global adoption and operational support.

Minimum Qualifications:

  • Bachelor's degree in Robotics, Mechatronics, Electrical Engineering, Computer Engineering, Computer Science, Construction Management, ora relatedtechnical field.

  • 6+ years of experience in Product Management, Product Ownership, Technical Program Management, or a similar role supporting software, data, or AI enabled products.

  • Demonstrated experience leading product delivery within industrial, manufacturing, construction, facilities, or other complex operational environments.

  • Knowledge of modern AI/ML technologies, data platforms, analytics solutions, and software development lifecycles.

  • Experience gathering business requirements and translating them into structured deliverables such as user stories, acceptance criteria, business requirements, and functional specifications.

Preferred Qualifications:

  • Master's degree or equivalent experience in Engineering, Computer Science, Construction Management, Business, ora relatedfield.

  • Experience managing products or programs involving AI, machine learning, computer vision, robotics, automation, or digital twin technologies.

  • Familiarity with construction technology and workflows, including BIM/VDC, Primavera P6, RFIs, submittals, procurement processes, EHS programs, and field operations.

  • Knowledge of physical AI and robotics ecosystems, including NVIDIA Isaac Sim, Isaac Lab, Omniverse/OpenUSD, ROS 2, computer vision platforms, and AMR/AGV technologies.

  • Experience supporting large-scale capital projects, industrial automation initiatives, smart manufacturing programs, or global site deployments.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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