# Simulation and Software Engineer at Root Access

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aroot-access%3Aa35e2e4e-1a13-48c7-8dd2-d4d80e5a722d (read 2026-11-10).

## Facts (observed)

- Company: [Root Access](https://alderhq.app/companies/root-access)
- Location text: New York City
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York City")
- Posted: 2026-10-12 (28 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/root-access/a35e2e4e-1a13-48c7-8dd2-d4d80e5a722d
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 621): p25 $145k, median $180k, p75 $225k

## Description (the employer's text)

### Role Description

Root Access is hiring a Simulation & Software Engineer to lead the development of scalable simulation infrastructure. You will build software that automates electrical, thermal, and electromagnetic simulations and transforms their outputs into reliable training datasets. Working alongside our Machine Learning Engineer and hardware team, you will own simulation execution, data quality, and the infrastructure needed to expand coverage across electronic designs.

### Responsibilities

Build and maintain automated simulation pipelines, including design parameterization, solver integration, and results extraction.

Scale simulation workloads across local and cloud compute through distributed execution, scheduling, and failure recovery.

Develop workflows for parameter sweeps and design-space exploration.

Implement checks for simulation convergence, physical validity, and dataset quality.

Track simulation configurations, data provenance, and dataset versions to ensure reproducibility.

Optimize simulation throughput, compute costs, and pipeline reliability.

Collaborate with the ML team to prioritize simulations that improve model performance.

Work with hardware engineers to validate simulation results against physical measurements.

### Qualifications

Strong software engineering skills in Python, with experience building reliable automated systems.

Experience with physics-based simulation tools, numerical solvers, or scientific computing.

Experience with parallel computing, workload orchestration, and cloud or HPC infrastructure.

Familiarity with data pipelines, structured storage, versioning, and reproducible workflows.

Understanding of numerical methods and at least one relevant domain: circuit simulation, electromagnetics, or thermal analysis.

Ability to diagnose solver failures and distinguish software issues from modeling problems.

Degree in engineering, physics, applied mathematics, computer science, or equivalent experience.

Preferred: experience scaling solver-generated data with automation and custom integrations.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aroot-access%3Aa35e2e4e-1a13-48c7-8dd2-d4d80e5a722d and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.