Principal, Software Technical Program Manager at d-Matrix

Santa Clara, California, United States

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$196,000 – $300,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Semiconductors, TechnologyIndustries

Requirements

Bachelor's degree in engineering, computer science, or related field with at least 15+ years of industry experience in software/systems engineering, or product technical product/program management, preferably in the AI hardware/software domain
OR MS degree (preferred) in engineering, computer science, or related field with at least 10+ years of industry experience in software/systems engineering, or product technical product/program management, preferably in the AI hardware/software domain
Strong knowledge of AI hardware technologies, architectures, and applications
Excellent project management, communication, and collaboration skills
Preferred Qualifications
Master's degree or PhD in engineering, computer science, or related field
Certification in project management methodologies such as Agile, Scrum, or Kanban
Experience in leading complex and large-scale hardware/software projects with multiple stakeholders and dependencies
Ability to influence and negotiate with senior leaders and external partners
Experience with cross-functional collaboration including product management and engineering to drive product impact

Responsibilities

Develop and manage end-to-end project plans and ensure on-time delivery
Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases
Define and track key performance indicators and quality metrics
Articulate project status, risks, and dependencies to stakeholders
Identify and resolve technical issues, organizational-wide challenges and bottlenecks that may affect product delivery or quality
Be a trusted partner and collaborate with cross-functional teams, lead technical discussions and drive sound decisions
Partner with Product Management and Engineering to define needs to support strategic planning and execution as well as program requirements, resourcing and scope
Develop processes and frameworks that facilitate product-related goal setting, decision making, and business impact

Skills

Technical Program Management

Project Management

AI Hardware

AI Software

End-to-End Execution

Risk Management

Milestone Tracking

Cross-Functional Collaboration

Stakeholder Communication

Technical Dependencies

KPI Tracking

Agile Methodologies

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters

2019Year Founded

$149.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.

Complex AI chip design could lead to delays or increased production costs.

Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

Differentiation

d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.

The company offers scalable AI solutions through modular, low-power chiplets.

d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

Upsides

Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.

Partnerships with companies like Microsoft could lead to strategic alliances.

Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

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