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d-Matrix
4 months ago

Principal Technical Program Manager (Software) d-Matrix

AI computing and efficiency software for generative AI transformation.

Permanent
Occasional remote
196K to 300K $ a year
> 10 years
4 months ago
Skills we're looking for
Agile methodologies
Communication skills
Coaching and mentoring
Collaboration and teamwork
Team building
+3

You'll be part of

United States of America
214 employees
Logiciels
Intelligence artificielle / Machine Learning

Our take

d-Matrix is redesigning how AI gets done, tackling the limit f traditional chips with its Corsair platform. Using digital in-memory computing and a chiplet-based design, it delivers fast, power-efficient AI interface that's built for today's data-heavy models, without the energy overload. Recently, the company has been making some serious moves. Its secured substantial funding, with backing from Microsoft, and partnering with HTEC to boost its software capabilities. With Corsair already showing serious speed gains over GPUs like Nvidia's H100, d-Matrix is proving it can deliver real-world performance at scale. But instead of competing head-on with GPU giants, d-Matrix is focusing on where AI meets people. And with AI growing fast, especially for interactive and generative applications, d-Matrix is building the hardware that helps AI keep up with this demand.

You'll be working on

  • We are seeking a Principal Technical Program Manager to drive engineering excellence across the global software organization
  • This role will focus on creating lightweight, scalable processes that enable predictable project delivery in a high-growth startup environment
  • You will partner with engineering leaders to translate company objectives into actionable software programs, improve planning and execution practices, and foster collaboration across geographies and technical domains
  • Lead end-to-end program management across software domains: ML, kernel, compiler, runtime, and tools
  • Coordinate delivery across distributed teams in North America, India, Serbia, and Australia
  • Implement agile practices suited to a fast-paced, scaling startup
  • Define metrics, dashboards, and reporting to track progress and program health
  • Develop playbooks and best practices for program management across the organization
  • Translate product and business goals into executable engineering programs
  • Identify and mitigate risks to delivery schedules and quality
  • Act as a liaison between software teams and senior leadership, providing clear updates and insights
  • Collaborate with product, hardware, and partner teams to manage dependencies

Benefits

  • Equity
  • Health care
  • Flexible time-off
  • Paid paternity leave
  • 401k retirement plan
  • Remote & hybrid working model
  • Work with world-leading engineers and researchers
  • Free food and snacks
  • On-site fitness center
  • Team-building activities
  • Peer coaching & development
  • Happy hours

We're looking for

  • The ideal candidate should be comfortable working in a fast-paced, globally distributed environment and is passionate about delivering high-quality software on time
  • Experience at companies with complex software/hardware integration
  • 10+ years of experience as software engineer, engineering manager, or technical program manager, with the last 3 or more years as technical program manager in software development
  • Familiarity with AI/ML, compiler/runtime, or kernel development
  • Educational background in computer science, electrical engineering, physics, or a related field
  • Excellent communication and stakeholder management skills; ability to influence without authority
  • Proficiency with Jira, Smartsheet, Confluence, and project toolchain integration
  • Proven track record managing distributed, multi-region engineering teams
  • Experience establishing scalable processes in fast-moving engineering organizations
  • Strong understanding of software lifecycle and agile methodologies
  • Background in AI/ML infrastructure, semiconductor, or system software companies
  • Knowledge of optimization for GPUs, NPUs, or custom ASICs
  • Experience managing external dependencies or customer-driven timelines
  • Experience scaling engineering teams at Series B/C stage startups

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