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Positron

Memory-first AI inference silicon for LLMs

Hardware Security Architect Principal

Hardware EngineeringPosted on Nov 11
Full-time

About the Job

Requirements

  • At least 12 years of experience in hardware security architecture.
  • Deep expertise in secure boot and hardware root of trust design.
  • Strong cryptography and key management ability.
  • Hands-on experience with secure manufacturing processes.
  • A solid grasp of silicon bring-up in a security-critical context.

Responsibilities

  • Define the overall silicon security architecture for Positron's platform.
  • Own secure boot, hardware root of trust, chain of trust, authenticated firmware, and measured boot.
  • Own secure debug, secure manufacturing, fuse programming, key provisioning, and device identity.
  • Own key ladders, anti-rollback protections, JTAG security, scan access control, and lifecycle states.
  • Protect customer models and weights through weight encryption and weight authentication.
  • Secure data in motion via link encryption, PCIe security, CXL security, and on-chip fabric security.
  • Own DRAM encryption, secure DMA, secure memory regions, and confidential computing techniques.
  • Perform architecture security reviews and develop attack models across the platform.
  • Mitigate physical attacks, fault injection, side-channel attacks, replay attacks, firmware compromise, and supply-chain attacks.
  • Partner with firmware, software, architecture, DFT, validation, manufacturing, and cloud security teams to embed security throughout the product lifecycle.
  • Stay current with NIST, FIPS, CCA, RISC-V security, and Arm security standards, as well as emerging areas like post-quantum cryptography and confidential AI.
  • Apply AI-assisted techniques for threat modeling, security verification, coverage analysis, and documentation.

Desired Qualifications

  • Experience with AI accelerator platforms.
  • Familiarity with HSMs and TPMs.
  • Expert-level proficiency in TEE, CCA, and Arm TrustZone architectures.
  • Experience with confidential computing, PCIe IDE, and CXL IDE.

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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