Simulation and Software Engineer

Visible Hands; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Root Access in New York seeks a Simulation & Software Engineer to lead scalable simulation infrastructure. You will automate electrical, thermal, and electromagnetic simulations and transform outputs into training data for ML models.

You will own simulation execution, data quality, and expansion across electronic designs in collaboration with ML and hardware teams. You will build automated pipelines, scale workloads on local and cloud platforms, and implement rigorous checks for accuracy and

Qualifications

• Proficient Python programming for reliable automated systems.
• Experience with physics-based simulations or scientific computing.
• Experience with parallel computing, orchestration, and cloud/HPC infrastructure.
• Familiarity with data pipelines, versioning and reproducible workflows.
• Understanding of numerical methods and circuit/electromagnetics/thermal domains.
• Ability to diagnose solver failures and separate software/ modelling issues.

Responsibilities

• Build and maintain automated simulation pipelines, parameterization, solvers, and results extraction.
• Scale workloads across local and cloud compute with distributed execution and scheduling.
• Develop workflows for parameter sweeps and design-space exploration.
• Implement checks for convergence, physical validity, and dataset quality.
• Track configurations, provenance, and versions to ensure reproducibility.
• Optimize throughput, costs, and pipeline reliability.
• Collaborate with ML and hardware teams to prioritize simulations that improve model performance.
• Validate simulation results against physical measurements with hardware engineers.

Skills

Python

Physics-based simulation

Parallel computing

Data pipelines

Numerical methods

Solver debugging

Automation integrations

Education

Bachelors in engineering/physics/computer science

Job description

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.