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Remote Nvidia Deep Learning Jobs in Arizona (NOW HIRING)

Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... deep experience building and operating machine learning models at scale. We work closely with ...

This position demands deep regulatory knowledge, exceptional communication skills, and the ability ... Learning & Development programs * And yes, we have snacks in our offices Benefits listed herein may ...

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and ...

Hybrid - Remote: Preference would be Washington, DC, but anywhere in the United States Reports to ... Develop a deep understanding of Axon's product line and customer workflows to ensure alignment with ...

Mentor engineers and foster a culture of ownership, accountability, and continuous learning ... Deep knowledge of design patterns and best practices for scalable architecture * Proven ability to ...

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Remote Nvidia Deep Learning information

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

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

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 Remote Nvidia Deep Learning jobs in Arizona? For Remote Nvidia Deep Learning jobs in Arizona, the most frequently searched job titles are:
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What cities in Arizona are hiring for Remote Nvidia Deep Learning jobs? Cities in Arizona with the most Remote Nvidia Deep Learning job openings:
Partner Architect - ExtraHop | Remote, USA

Partner Architect - ExtraHop | Remote, USA

Optiv Security, Inc.

Phoenix, AZ • Remote

$157K - $213K/yr

Full-time

Posted 12 days ago


Job description

This position will be fully remote and can be hired anywhere in the continental U.S.

The Partner Architect - ExtraHop serves as a strategic technical advisor and enablement leader, bridging Optiv's sales, services, and partner ecosystems. This role drives pre-sales excellence through deep technical expertise, hands-on solution demonstrations, and enablement programs that enhance both internal teams and client outcomes.

The Partner Architect - ExtraHop will champion assigned partner technologies-showcasing use cases, aligning solutions with client goals, and ensuring seamless integration across Optiv's portfolio.

How you'll make an impact

Technical Enablement & Sales Support

  • Deliver detailed presentations and demonstrations of partner technologies to internal teams and clients.

  • Develop and maintain technical sales tools and documentation, including:

    • Sizing guidelines

    • Best practice and integration guides

    • Solution design and implementation documentation

  • Lead use case development and create reusable demonstration assets.

  • Build and execute enablement sessions and workshops for sales and technical teams.

Solution Strategy & Architecture

  • Define and document solution architectures, product matrices, and roadmap alignment for partner technologies.

  • Provide SKU guidance, bundling strategies, and partner service mapping to drive consistent solution delivery.

  • Collaborate with client advisory and delivery teams to ensure alignment with best practices and deployment standards.

  • Validate service offerings and scoping for technical accuracy and consistency.

Client Engagement & Value Realization

  • Support client retention and technology optimization through advisory and best-practice assessments.

  • Conduct client workshops to maximize solution adoption and identify upsell opportunities.

  • Partner with Client Solution Architects to ensure clients realize full value from their technology investments.

  • Serve as an escalation point for complex partner-related services and solution challenges.

Collaboration & Continuous Learning

  • Shadow partner engineering and internal consulting teams periodically to stay aligned on evolving capabilities.

  • Contribute to internal communities of practice and knowledge-sharing initiatives.

  • Maintain expert-level technical certifications in assigned partner technologies.

What we're looking for

  • 5+ years of hands-on experience with assigned partner technologies.

  • Relevant industry certifications strongly preferred, especially advanced Cisco credentials (CCIE, CCNP, CCNA), as well as CISSP, GSEC, CEH, and other comparable security or networking certifications.

  • Additional valuable certifications include Network+, Security+, AWS/Azure cloud certifications, and vendor-specific credentials from Palo Alto Networks, Juniper, and VMware.

  • Expert-level certification(s) in at least one assigned partner technology.

  • Proven track record in both pre-sales and post-sales technical roles.

  • Exceptional communication, presentation, and writing skills, including experience with large-audience engagements.

  • Strong ability to translate complex technical concepts into business value.

  • Ability to travel up to 40% for client meetings, partner events, and enablement sessions.

#LI-SM1

#LI-Remote

Salary Range Description

$157,000.00 - $213,000.00 Annual

The Hiring Range provided for this role is informed by (but not limited to) various factors including responsibilities of the position, work experience, education/training, internal peer equity, geography, as well as other market influences when extending an offer. The disclosed range has not been adjusted for these factors. This role may also be eligible to participate in a variable incentive-based bonus plan. Optiv offers a comprehensive compensation and benefits package, of which salary is a component.

What you can expect from Optiv

  • A company committed to championing Diversity, Equality, and Inclusion through our Employee Resource Groups.
  • Work/life balance
  • Professional training resources
  • Creative problem-solving and the ability to tackle unique, complex projects
  • Volunteer Opportunities. "Optiv Chips In" encourages employees to volunteer and engage with their teams and communities.
  • The ability and technology necessary to productively work remotely/from home (where applicable)

EEO Statement

Optiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity or expression, sexual orientation, pregnancy, age 40 and over, marital status, genetic information, national origin, status as an individual with a disability, military or veteran status, or any other basis protected by federal, state, or local law.

Optiv respects your privacy. By providing your information through this page or applying for a job at Optiv, you acknowledge that Optiv will collect, use, and process your information, which may include personal information and sensitive personal information, in connection with Optiv's selection and recruitment activities. For additional details on how Optiv uses and protects your personal information in the application process, click here to view ourApplicant Privacy Notice. If you sign up to receive notifications of job postings, you may unsubscribe at any time.