Senior ASIC Design Engineer
Positron
Senior ASIC Design Engineer
Positron
Memory-first AI inference silicon for LLMs
Positron AI is building next-generation AI inference accelerators designed from the ground up for low-latency, high-throughput large language model inference. Chips built for the training era keep running into two walls at inference time: memory bandwidth and chip-to-chip networking. We designed our architecture to break through both. Our first-generation Atlas systems are deploying in Oracle Cloud Infrastructure. Asimov, our first custom ASIC, takes that architecture to silicon. In simulations, Asimov delivers several times more tokens per dollar and tokens per watt than leading GPUs, at a fraction of the power. Paired in our Titan system, Asimov is built to serve models beyond 16 trillion parameters. In September 2026, we raised $875 million at a $5 billion valuation. NEA led the round, joined by Atreides Management, Valor Equity Partners, and others, to bring Asimov and Titan to market. Our team includes engineers from Groq, Lambda, NVIDIA, Meta, F5, and many other industry leaders.
Role Overview
As a Senior ASIC Design Engineer, you will take a leadership role in defining, implementing, and delivering critical IP blocks and subsystems for Positron.ai’s inference ASICs/SoCs. You will own the microarchitecture from high-level concept through RTL signoff, collaborating across architecture, verification, and physical design to achieve ambitious PPA and schedule goals. In addition to hands-on SystemVerilog design, you will mentor junior engineers, influence methodology, and drive key architectural tradeoffs that impact silicon performance and efficiency.
Key Responsibilities
Microarchitecture & RTL Leadership:
Technical Ownership & Signoff:
Advanced Interface & Memory Integration:
Methodology & Best Practices:
Cross-Functional Collaboration:
Mentorship & Technical Leadership:
Required Qualifications
Preferred Qualifications
Leveling & Scope
While this role is currently posted at a specific level, we are a growth-oriented organization and are open to hiring at a more senior level for the right candidate. Please note that this job description serves as a focused but generalized overview of the role; specific responsibilities and impact expectations will be tailored to the experience and seniority of the final hire.
Why Join Us?
Compensation and Benefits
The base salary range for this role is $200,000 – $300,000.
Please note that the figures provided represent the base salary range only and do not include other elements of our total compensation package, equity, or comprehensive benefits.
At Positron AI, we value the unique expertise each candidate brings. While the range above reflects our typical expectation for the position, we reserve the flexibility to exceed this range for candidates whose specialized skills, significant experience, or unique qualifications fall outside the standard scope of the role. Final offers are determined based on a variety of factors, including internal equity, and individual impact.
Equal Opportunity Employer. If you’re excited about the role but don’t meet every bullet, we’d still love to hear from you.
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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.
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