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Positron

Memory-first AI inference silicon for LLMs

Senior Software Engineer - Manufacturing Test

Hardware Validation & TestingPosted on Nov 12
Full-timeSpokane Valley, WA, USA

About the Job

Requirements

  • At least 5 years of demonstrated experience designing, shipping, debugging, and maintaining production-quality Go software, including concurrency, error handling, automated testing, and maintainable interfaces.
  • Experience with FPGA, AI, and inference hardware testing.
  • Strong understanding of computer architecture, including CPUs, memory, PCIe, storage, networking, and interactions among hardware, firmware, and operating systems.
  • Hands-on experience writing hardware tests and isolating failures across multiple domains, such as PCIe/AER, CPU, I²C, SPI, memory, PRBS, NICs, BMC/IPMI/Redfish, and drive I/O.
  • Ability to turn platform requirements and failure modes into prioritized coverage, measurable pass/fail criteria, and validation plans.
  • Practical skill directing coding agents through well-scoped tasks, providing relevant context, critically reviewing generated changes, and verifying behavior through software tests and hardware validation.
  • Senior-level engineering ownership, including independently driving test development and technical decisions and communicating coverage gaps and tradeoffs across teams.
  • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent additional years of experience.

Responsibilities

  • Design, build, and maintain production-quality manufacturing tests in Go with clearly defined pass/fail criteria, actionable diagnostics, and thorough documentation.
  • Develop hardware tests and diagnostics across PCIe/AER, CPU, memory, I²C, SPI, PRBS, NICs, BMC/IPMI/Redfish, and drive I/O.
  • Build system-level functional, stress, reliability, and performance tests for Positron platforms.
  • Translate platform requirements and failure modes into prioritized coverage plans with measurable pass/fail criteria, balancing defect detection, runtime, and repeatability.
  • Validate test effectiveness against known-good hardware and representative failures, and maintain automated regression coverage as tests evolve.
  • Investigate ambiguous failures and isolate root causes across hardware, firmware, and operating system boundaries.
  • Partner with hardware, firmware, and manufacturing teams to close coverage gaps, and communicate risks and tradeoffs across teams.
  • Direct coding agents through well-scoped tasks to accelerate implementation, debugging, and test development while retaining accountability for design, correctness, code review, and hardware validation.

Desired Qualifications

  • Track record of delivering and supporting hardware tests at contract manufacturers, including deployment, station qualification, documentation, and remote troubleshooting.
  • Familiarity with analyzing manufacturing test data to improve coverage, reduce false failures, and shorten debugging time.
  • Experience building CI/CD pipelines, automated regression infrastructure, and test release management processes.

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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