Senior Performance Modeling Engineer, AI Inference Deployments at Positron Corporation

Full Time

$220k - $270k

14 hours ago

Role Overview As a Senior Performance Modeling Engineer, you will own the tools that tell customers how a model will run on Positron hardware at scale: how many chips it needs, what throughput and latency it will deliver, and how that compares with GPUs and other accelerators.

United States

Senior

Performance modeling

Capacity Planning

Systems Architecture

+5 more

Job Description

Role Overview

As a Senior Performance Modeling Engineer, you will own the tools that tell customers how a model will run on Positron hardware at scale: how many chips it needs, what throughput and latency it will deliver, and how that compares with GPUs and other accelerators. You will work directly with customers, product, and our chip modeling team to turn deployment questions into quantified answers they can plan against.

The work spans analytical modeling, simulation, and real hardware measurements. You will build deployment-level models on top of our chip performance simulators, validate them against hardware, and package the results so customers can run them on their own. We are hiring two engineers for this work: one will take primary responsibility for the modeling architecture, and the other for per-model deployment studies and the customer-facing tool.

Key Responsibilities

Customer and Product Partnership

Partner with customers and product to turn deployment questions into focused studies with clear assumptions, options, metrics, and recommendations.
Run apples-to-apples comparisons of the same deployment on competitor hardware and explain what drives the difference.
Design and deliver a standalone performance-estimation tool that customers can run on their own workloads.

Deployment and System Modeling

Model deployment topologies for large-scale inference, including tensor, pipeline, expert, and data parallelism, batching, context length, and mixed Positron-plus-GPU configurations.
Model the network and system layer, including interconnect latency and bandwidth, redundancy, and how these bound throughput as chip count grows.
Develop and extend analytical and simulation-based deployment models that consume our chip performance simulator, so every estimate traces back to one shared hardware model.

Validation and Calibration

Validate projections against measured hardware runs and keep models calibrated as chips, software, and workloads evolve.

Required Qualifications

5+ years of experience in performance modeling, capacity planning, or systems architecture for large-scale AI inference, HPC, or data-center systems.
Demonstrated experience building analytical or queueing performance models and calibrating them against measured systems.
Deep understanding of LLM inference at the systems level, including prefill versus decode, KV cache, parallelism strategies, mixture-of-experts routing, batching, time-to-first-token, and tokens per second.
A solid working knowledge of data-center networking (latency, bandwidth, and topology) and GPU performance characteristics.
Comfort working from incomplete information, stating assumptions explicitly, and delivering an answer with error bars rather than waiting for certainty.
Strong Rust skills, or expert-level C/C++ skills and a willingness to work in Rust day to day, along with proficiency in Python for analysis, experiments, and visualization.
Excellent communication skills, with the ability to explain a sizing result, what drives it, and how much to trust it to both engineers and customers.

Preferred Qualifications

Hands-on experience sizing or benchmarking inference deployments across many accelerators in production.
A track record of building customer-facing performance or TCO tools.

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?

Your models will directly shape how customers size, plan, and buy frontier-scale inference deployments, and how Positron's hardware is positioned against GPUs and other accelerators.
You will work at the intersection of silicon, systems, and customers, with direct access to our chip simulators, real hardware measurements, and the engineers building Asimov and Titan.

Compensation & Benefits

The base salary range for this role is $220,000 – $270,000.

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.

Benefits & Perks

We want you to do your best work and feel confident that you and your family are taken care of. That means comprehensive coverage, real time to rest, and support for your future.

Health and wellness

Fully company-paid medical, dental, and vision insurance for you and your dependents
Company-paid life and disability coverage, with voluntary options to add more
Supplemental hospital, critical illness, and accident coverage available

Time off and flexibility

Unlimited paid time off; we encourage everyone to truly unplug and recharge
13 paid company holidays
Remote-first culture with a company-provided computer and home office setup

Compensation and future

Competitive salary and equity
401(k) with company matching, eligible from day one

Visa Support

This position is open to candidates currently authorized to work in the U.S. We cannot provide new visa sponsorship for this role but are open to facilitating H-1B visa transfers for eligible candidates.

Equal Opportunity Employer. If you're excited about the role but don't meet every bullet, we'd still love to hear from you.

Requirements

5+ years of experience in performance modeling, capacity planning, or systems architecture for large-scale AI inference, HPC, or data-center systems.
Demonstrated experience building analytical or queueing performance models and calibrating them against measured systems.
Deep understanding of LLM inference at the systems level, including prefill versus decode, KV cache, parallelism strategies, mixture-of-experts routing, batching, time-to-first-token, and tokens per second.
A solid working knowledge of data-center networking (latency, bandwidth, and topology) and GPU performance characteristics.
Comfort working from incomplete information, stating assumptions explicitly, and delivering an answer with error bars rather than waiting for certainty.
Strong Rust skills, or expert-level C/C++ skills and a willingness to work in Rust day to day, along with proficiency in Python for analysis, experiments, and visualization.

Benefits

Dental Insurance
Vision Insurance
Life Insurance
Paid Time Off
Equity

Skills

Performance modeling

Capacity Planning

Systems Architecture

AI Inference

LLM Inference

Data Center Networking

Queueing models

GPU performance

Ready to Apply?

Join Positron Corporation today

Salary Range

$220k - $270k

Posted 14 hours ago

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