VP of Systems Engineering
Lever, Inc.
Palo Alto, CA, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$250,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Systems Engineering
Data Centers
Software Debugging
Firmware
PCI Express
Job description
- 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.
Requirements
- 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.
About the company
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.
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