1

Infinia Ml Jobs (NOW HIRING)

Define and own the long-term vision and roadmap for DDN's Infinia platform portfolio including 3rd ... Familiarity with AI/ML, HPC, and cloud-native technologies. * Hands-on knowledge of server/hardware ...

You will leverage NVIDIA's NIXL (Inference Transfer Library) alongside the Infinia Data ... Partner with AI/ML engineering teams to optimize inference performance in frameworks such as ...

You will leverage NVIDIA's NIXL (Inference Transfer Library) alongside the Infinia Data ... Partner with AI/ML engineering teams to optimize inference performance in frameworks such as ...

Infinia Ml information

See salary details

$20

$38

$61

How much do infinia ml jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for infinia ml in the United States is $38.66, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $46.15 per hour, depending on experience, location, and employer.

What cities are hiring for Infinia Ml jobs?

Cities with the most Infinia Ml job openings:

What states have the most Infinia Ml jobs?

States with the most job openings for Infinia Ml jobs include:

Infographic showing various Infinia Ml job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $80,420 per year, or $38.7 per hour.

Senior Technical Product Manager

DDN

Santa Clara, CA • On-site

$190 - $230/hr

Other

Posted 20 days ago


Job description

The Senior Platform Product Manager will lead the strategy, roadmap, and execution for the hardware platform strategy for DDN’s software-defined data intelligence platform, DDN Infinia. This role is pivotal in defining how our platforms evolve to meet the demands of AI, HPC, and enterprise workloads at scale. You will work cross-functionally with engineering, marketing, sales, and customer success teams to deliver innovative solutions that drive performance, reliability, and simplicity for our customers. This is a senior-level role requiring deep technical expertise, strategic thinking, and strong business acumen.

Key Responsibilities:Platform Strategy & Vision
  • Define and own the long-term vision and roadmap for DDN’s Infinia platform portfolio including 3rd party strategy.

  • Define and communicate the long-term hardware and storage media platform strategy and roadmap that supports our software-defined Infinia platform on premises, including third-party and OEM hardware options.

  • Identify market trends, customer needs, and competitive dynamics to inform product direction.

Product Lifecycle Management
  • Drive end-to-end product lifecycle from concept to launch and adoption.

  • Collaborate with engineering to prioritize features, manage trade-offs, and ensure timely delivery.

Customer & Market Engagement
  • Act as the voice of the customer, gathering insights from key accounts and industry partners.

  • Support strategic customer engagements and represent DDN at industry events.

Cross-Functional Leadership
  • Partner with marketing to craft messaging, positioning, and go-to-market strategies.

  • Enable sales and field teams with product knowledge and competitive differentiation.

Performance & Scalability Focus
  • Ensure platforms meet stringent requirements for performance, scalability, and reliability.

  • Drive innovation in areas such as AI infrastructure, cloud integration, and data management.

Metrics & Business Impact
  • Define success metrics and monitor product performance against business objectives.

  • Influence pricing, packaging, and profitability strategies.

Qualifications:Experience
  • 10+ years in product management, with at least 5 years focused on storage, data platforms, or infrastructure products.

  • Proven experience defining and owning hardware platform strategy for a software-defined or software-platform product.

  • Proven track record of delivering complex, enterprise-grade products and solutions.

Technical Expertise
  • Strong understanding of storage architecture, distributed systems, and data-intensive workloads.

  • Familiarity with AI/ML, HPC, and cloud-native technologies.

  • Hands-on knowledge of server/hardware platform design, storage media (NVMe/SSD/flash and HDD), hardware bring-up and qualification, reference architectures, and BOM/cost and supply-chain considerations.

  • Competency with NVIDIA AI Enterprise Software a plus

  • OEM/ODM partnership, hardware qualification, or hardware-supply experience a plus

Business & Leadership Skills
  • Exceptional ability to translate technical capabilities into business value.

  • Strong communication and stakeholder management skills.

Education
  • Bachelor’s degree in Computer Science, Engineering, or related field (MBA or advanced degree preferred)

#J-18808-Ljbffr