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Positron

Memory-first AI inference silicon for LLMs

Senior Physical Design Engineer - Power

Silicon & ASIC DesignUpdated on Nov 15
Full-time

About the Job

Requirements

  • At least 8 years of ASIC design or implementation experience, with a significant focus on power.
  • Strong hands-on expertise in low-power design techniques.
  • Hands-on experience with Unified Power Format or Common Power Format power specification and verification flows.
  • Strong proficiency with PrimePower and Joules or equivalent power analysis tools.
  • Experience working with advanced process nodes.
  • A solid grasp of register-transfer-level design and its impact on chip power.
  • A track record of contributing to power targets on production silicon.
  • Strong Tcl and/or Python scripting skills for analysis and automation.

Responsibilities

  • Contribute to the overall chip power strategy and own power approaches for assigned blocks and subsystems across dynamic power, leakage, clock power, memory power, interconnect power, idle power, and peak power.
  • Build and maintain accurate power models across the development lifecycle, from early architectural estimation through register-transfer-level and gate-level estimation.
  • Perform vector-based and activity-driven power analysis to validate estimates against real workload behavior.
  • Implement and drive power optimization techniques, including clock gating, operand isolation, power gating, voltage islands, and multi-threshold voltage optimization.
  • Identify and apply memory, pipeline, toggle-reduction, and data-movement optimizations, including approaches tailored to AI workloads.
  • Give register-transfer-level teams actionable feedback to reduce power early in the design cycle.
  • Work with the backend team on IR drop, electromigration, power distribution, and power grid analysis.
  • Develop and maintain Unified Power Format or Common Power Format specifications for assigned domains, including power domains, isolation, retention, power-on sequencing, and reset sequencing.
  • Run power-aware simulation and Unified Power Format verification for assigned blocks.
  • Support reset verification, low-power state validation, wakeup validation, and power sequencing verification.
  • Partner with Architecture, RTL, Backend, Firmware, Thermal, Packaging, and System Engineering teams to align power decisions across the chip development flow.
  • Use AI-driven tools to improve power analysis, regression triage, power anomaly detection, activity clustering, and identification of optimization opportunities.

Desired Qualifications

  • Experience with AI accelerator architectures.
  • Familiarity with LPDDR and HBM memory interfaces.
  • Working knowledge of PCIe.
  • Experience with dynamic voltage and frequency scaling.
  • Exposure to thermal modeling.
  • Hands-on experience with silicon power validation.
  • Experience mentoring junior engineers or leading power efforts for a subsystem.

About the Company

Positron

Memory-first AI inference silicon for LLMs

Positron develops memory-first AI inference silicon and systems to scale large-language-model serving. Its Atlas systems rely on commodity LPDDR5X memory rather than expensive HBM/CoWoS to boost bandwidth and capacity, enabling more efficient LLM deployment at hyperscale. The company’s next-generation Asimov silicon (tape-out planned for late 2026; production in 2027) pairs compute with very large memory per chip (roughly 288 GB to 2,304 GB) and is designed to be combined into Titan configurations (four to eight Asimov chips) for extremely large models and long context windows. Positron has already deployed Atlas systems in the cloud, including 50+ racks at Oracle Cloud Infrastructure and partnerships with Parasail, Jump Trading, and i3d.net. Its goal is to provide scalable, memory-rich AI inference hardware that lowers cost and increases throughput for serving large language models.

Company size
51-200
Company stage
Series C
Total funding
$1.2B
Headquarters
Reno, NV
Founded
2023

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