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Positron

Memory-first AI inference silicon for LLMs

Senior Mechanical Engineer - Manufacturing

Design EngineeringUpdated on Nov 15
Full-timeSpokane Valley, WA, USA

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Mechanical Engineering and at least 7 years designing electromechanical and enclosure hardware for high-performance electronic systems across the full new product introduction lifecycle, from concept through volume production.
  • Expertise in 3D computer-aided design using SolidWorks and/or Creo, detailed drawings and geometric dimensioning and tolerancing, tolerance stack-up analysis, and structural and thermal simulation such as SolidWorks Simulation/Flow or Ansys.
  • Experience with rack-mount or high-density electronic packaging and directly selecting, qualifying, and managing custom-part suppliers and contract manufacturers, including global partners, through engineering validation test, design validation test, and pilot phases.
  • A demonstrated track record applying design for manufacturing, design for assembly, and failure mode and effects analysis to improve cost, quality, and manufacturability in high-volume or high-complexity production environments.
  • Ability to write clear mechanical specifications and communicate trade-offs across electrical, thermal, ASIC, firmware, and operations teams.

Responsibilities

  • Own mechanical design of enclosures, chassis, and carrier-board mechanical integration for rack-mount 1U/2U inference systems, including spatial studies, conceptual and detailed design, solid models, drawings, bills of materials, and tolerance stack-up analysis.
  • Lead thermal-mechanical and structural design and simulation for high-TDP ASIC platforms, including heatsinks, cold plates, retention hardware, airflow, and shock/vibration, partnering with electrical and thermal teams to meet air- and liquid-cooled performance targets.
  • Serve as the primary mechanical lead and company representative for contract manufacturers, original design manufacturers, and custom-part fabricators, including sheet metal, injection molding, die casting, metal injection molding, and cable suppliers, through engineering validation test, design validation test, pilot, and production ramp.
  • Lead detailed design for excellence reviews covering tolerances, assembly sequence, mistake-proofing, part reduction and standardization, and design failure mode and effects analysis to reduce unit cost and improve design robustness.
  • Develop and qualify custom electromechanical fixtures for assembly and test, and own product packaging design, transit qualification, and implementation.
  • Own mechanical test-plan creation for structural, thermal, and environmental testing; support electromagnetic compatibility/electromagnetic interference shielding and regulatory needs; and manage the mechanical risk register, engineering change orders, and technical escalations to keep programs on schedule for pilot and manufacturing ramps.

Desired Qualifications

  • Background in mechanical and thermal design for artificial intelligence or machine-learning accelerators, servers, or other high-power data center hardware.
  • Experience correlating computational fluid dynamics and thermal-mechanical simulations to real-world air- or liquid-cooled performance, including heatsinks, cold plates, and manifolds.
  • Experience driving hardware through electromagnetic compatibility/electromagnetic interference shielding, environmental qualification for shock, vibration, and thermal conditions, and packaging/transit testing; familiarity with FCC/CE and RoHS/REACH.
  • Certifications such as Certified SolidWorks Professional, Ansys, design for manufacture and assembly, or packaging qualification (ISTA); relevant patents; and business or finance acumen, such as an MBA, connecting design decisions to cost and profitability.

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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