VP, Systems Engineering

Posted 7 Days Ago
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Palo Alto, CA, USA
Hybrid
250K-375K Annually
Expert/Leader
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The Role
Lead end-to-end systems engineering to turn Mythic analog compute chips into validated, customer-ready cards, modules, and platforms. Build and scale validation teams, drive hardware/software co-validation, own test infrastructure and automation, support OEM/hyperscale qualification, and feed field learnings into product and architecture decisions.
Summary Generated by Built In

Mythic, the leader in energy-efficient high-performance AI computing spanning from the edge to the datacenter, is hiring a VP of Systems Engineering to own the path from silicon to shipping platforms. This is the role that turns Mythic's analog compute chips into reliable, validated, customer-ready systems — cards, modules, and reference platforms that OEMs and hyperscale partners can integrate with confidence. You'll build and lead the team responsible for hardware/software co-validation, platform bring-up, and system-level performance and reliability. You will be the technical bridge between chip design, firmware/software, and the customers deploying Mythic solutions in the field.

What you'll do

  • Own end-to-end systems engineering for Mythic's AMP-based products: post-silicon bring-up, platform/board-level validation, and characterization across the M1076 APU, PCIe cards, and M.2 modules.

  • Build and scale the systems engineering team as Mythic grows from single-chip products to multi-card and rack-scale deployments.

  • Drive hardware/software co-validation with firmware, compiler, and applications teams to ensure silicon performance claims (throughput, power, latency) hold up in real customer workloads.

  • Serve as the primary technical escalation point for silicon and platform issues raised by customers and partners across robotics, automotive, defense, and data center.

  • Own test infrastructure, automation, and characterization methodology to shorten the bring-up-to-production timeline for new silicon and card revisions.

  • Feed field and validation learnings back into next-generation chip and system design with product and architecture teams.

What you'll bring

  • 12+ years in systems engineering, silicon bring-up, or platform validation, with progressively larger scope managing engineering teams.

  • Direct experience taking chips from tape-out through post-silicon validation into shipping hardware products (cards, modules, or servers).

  • Excellent technical grounding in the hardware/software boundary, board-level electrical debug, and reasoning about the compiler/firmware stack that sits on top of custom silicon.

  • Proven track record building and scaling a systems or validation organization at a semiconductor or systems company.

  • Experience supporting external customers or OEM partners through technical qualification and deployment of new silicon.

  • Comfort operating in a startup environment — this role has less infrastructure and more ambiguity than the equivalent function at a large chip company, and requires building processes rather than inheriting them.

  • Preferred experience with novel or non-standard compute architectures (analog, in-memory, or otherwise non-GPU AI accelerators).

  • Preferred background at a large-scale systems engineering organization (e.g., NVIDIA, AMD, Qualcomm) in a bring-up/validation/platform role, with the judgment to know what to bring from that world and what to leave behind at Mythic's scale.

  • Preferred familiarity with edge AI deployment environments — robotics, automotive, or defense — where power, size, and reliability constraints are as important as raw performance.

At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

Skills Required

  • 12+ years in systems engineering, silicon bring-up, or platform validation with progressive team management scope
  • Direct experience taking chips from tape-out through post-silicon validation into shipping hardware products (cards, modules, servers)
  • Strong technical grounding at the hardware/software boundary, including board-level electrical debug
  • Deep understanding of firmware and compiler interactions with custom silicon
  • Proven track record building and scaling a systems or validation organization at a semiconductor or systems company
  • Experience supporting external customers or OEM partners through technical qualification and deployment
  • Comfort operating in a startup environment and building processes from scratch
  • Experience with novel or non-standard compute architectures (analog, in-memory, or non-GPU AI accelerators)
  • Background at large-scale systems engineering organizations (e.g., NVIDIA, AMD, Qualcomm) in bring-up/validation/platform roles
  • Familiarity with edge AI deployment environments (robotics, automotive, defense) where power, size, reliability are critical
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The Company
HQ: Austin, TX
62 Employees
Year Founded: 2012

What We Do

Mythic develops cutting-edge Analog Processing Units (APUs) utilizing unique analog compute-in-memory technology. This innovative approach aims to deliver highly energy-efficient and cost-effective AI inference solutions. By overcoming the memory bottlenecks inherent in traditional digital architectures, Mythic enables unparalleled performance-per-watt for AI workloads across diverse applications, including data centers, automotive, robotics, and defense industries.

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