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Remote Electromagnetic Simulation Jobs (NOW HIRING)

Senior Software Platform Engineer

$125K - $165K/yr

Remote PsiQuantum's mission is to build the first useful quantum computers--machines capable of ... Package and containerize Python simulation code for reproducible execution. * Monitor job health ...

$90K - $144K/yr

Model Based Design Engineer - Electric Motors - Remote -US based Come make the world and accelerate ... Developing and implementing calibration processes for electromagnetic and thermal models of ...

... on Electromagnetic Transient (EMT) studies. In this remote role, you'll work alongside a ... Proficiency with power system simulation software and modeling tools * Previous experience ...

RF Engineer, Senior

Belcamp, MD · On-site +1

$86K - $198K/yr

Remote Work: Yes Job Number: R0241458 Location: Belcamp,MD,US Share job via: Share RF Engineer ... Electromagnetic Compatibility (EMC) analyses for DoD spectrum-dependent systems * Experience ...

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Remote Electromagnetic Simulation information

See salary details

$39K

$123.4K

$190.5K

How much do remote electromagnetic simulation jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote electromagnetic simulation in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Electromagnetic Simulation Engineer, and why are they important?

To thrive as a Remote Electromagnetic Simulation Engineer, you need a solid background in electrical engineering or physics, with expertise in electromagnetics and computational modeling. Familiarity with simulation tools such as CST, HFSS, COMSOL Multiphysics, or Ansys, along with proficiency in programming languages like Python or MATLAB, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating remotely and interpreting complex simulation results. These skills and qualities are vital to ensure accurate analyses, efficient project collaboration, and delivery of high-quality simulation solutions in remote settings.

What are some typical challenges faced by professionals in remote electromagnetic simulation roles and how can they be addressed?

Professionals working in remote electromagnetic simulation often encounter challenges such as ensuring accurate model setup without on-site hardware access, managing large simulation datasets, and coordinating effectively with distributed teams. These can be addressed by maintaining clear documentation, using cloud-based collaboration tools for data sharing, and scheduling regular virtual meetings to align project goals. Additionally, staying updated with the latest simulation software and leveraging remote desktop solutions can streamline workflow and troubleshooting.

What is the difference between Remote Electromagnetic Simulation vs Remote RF Engineer?

AspectRemote Electromagnetic SimulationRemote RF Engineer
Required credentialsEngineering degree, specialized in electromagneticsEngineering degree, focus on RF and wireless systems
Work environmentSoftware-based, simulation tools, remote setupField testing, design, and analysis, often remote or on-site
Industry usageElectromagnetic modeling, antenna design, EMC testingWireless communication, radar, satellite systems

Remote Electromagnetic Simulation involves using software to model electromagnetic phenomena, focusing on design and analysis. Remote RF Engineers work on designing, testing, and implementing radio frequency systems, often combining fieldwork with remote collaboration. Both roles require engineering expertise but differ in practical application and focus areas.

What are remote electromagnetic simulation jobs?

Remote electromagnetic simulation jobs involve using specialized software and computational techniques to analyze and predict the behavior of electromagnetic fields and waves, all while working from a remote location. Professionals in these roles typically work in industries such as telecommunications, aerospace, automotive, and electronics, where they design and test components like antennas, circuits, and sensors. Responsibilities often include setting up simulations, interpreting results, and collaborating with engineering teams online. These positions require a strong background in physics or electrical engineering and proficiency with simulation tools such as CST, HFSS, or COMSOL Multiphysics.
More about Remote Electromagnetic Simulation jobs
What cities are hiring for Remote Electromagnetic Simulation jobs? Cities with the most Remote Electromagnetic Simulation job openings:
What are the most commonly searched types of Electromagnetic Simulation jobs? The most popular types of Electromagnetic Simulation jobs are:
What states have the most Remote Electromagnetic Simulation jobs? States with the most job openings for Remote Electromagnetic Simulation jobs include:
What job categories do people searching Remote Electromagnetic Simulation jobs look for? The top searched job categories for Remote Electromagnetic Simulation jobs are:
Infographic showing various Remote Electromagnetic Simulation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Senior Software Platform Engineer

Senior Software Platform Engineer

PsiQuantum

Remote

$125K - $165K/yr

Other

Posted 6 days ago


Job description

Senior Software Platform Engineer

Palo Alto, California, United States; Remote

PsiQuantum's mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale.

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real.

Come join us.

Team Overview

PsiQuantum's Applications Software Engineering Team builds tools for quantum algorithm developers: cloud development environments, circuit design tools, and resource estimation systems that help researchers write, simulate, and optimize quantum algorithms for the world's first utility-scale, fault-tolerant quantum computer.

We're hiring a platform engineer who bridges software infrastructure with GPU-accelerated computing, someone who can improve our AWS platform while helping researchers run quantum simulations efficiently on GPU clusters.

Role Overview

We're looking for someone to partner with our existing platform engineer, splitting responsibilities across a growing platform and making it easier for quantum researchers to do their best work.

That platform includes AWS infrastructure, Terraform configs, CI/CD workflows, and the GPU clusters our researchers depend on for large-scale, computationally intensive quantum simulations. There's a real opportunity to shape how all of it evolves.

The right person for this role is comfortable making judgment calls under uncertainty; they will have a lot of latitude, and accountability to match.

Responsibilities:

How You'll Spend Your Time

Platform Engineering (70%)

  • Own our AWS infrastructure end-to-end and actively shape how it evolves; building, not just maintaining.
  • Reduce friction in the deployment pipeline so developers can ship without infrastructure blockers.
  • Harden systems with intention: lock down IAM roles, container images, and authentication flows in ways that reflect a clear understanding of where the real risks are.
  • Implement monitoring and alerting that catches production issues before users notice them.
  • Make deployments faster to roll out, easier to roll back, and less prone to failure.
  • Lead incident response and post-mortems when necessary.

GPU/HPC Bridge Work (30%)

  • Make GPU clusters and other infrastructure invisible to the researchers running it.
  • Own CUDA compatibility and driver versions across heterogeneous GPU clusters.
  • Build standardized SLURM job submission workflows that researchers can use without help.
  • Package and containerize Python simulation code for reproducible execution.
  • Monitor job health across utilization, cost, and runtime efficiency.
Experience/Qualifications:

Required Qualifications

  • Experience: 5+ years in Platform Engineering, DevOps, or SRE roles.
  • Production AWS experience: Built and maintained systems on ECS/EKS, managed multi-account networking (VPCs, security groups), and dealt with real-world infrastructure complexity.
  • Infrastructure as Code: You've written and maintained Terraform (or Pulumi/CDK) in production, including applying ongoing changes as requirements evolved.
  • CI/CD: Improved build pipelines in production (reduced build times, increased reliability, made deployments easier to debug), including experience with GitLab CI, GitHub Actions, or equivalent.
  • GPU/HPC experience: Supported GPU workloads in production environments, including code optimization, CUDA debugging, and job scheduler setup.

Preferred Qualifications

  • Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors).
  • Security & compliance experience: You've implemented auth systems (Auth0/Okta), managed encryption (KMS), or worked on FedRAMP/compliance-driven infrastructure. FedRAMP experience is a strong plus.
  • Exposure to quantum computing SDKs (Qiskit, Cirq, PennyLane) or hybrid classical-quantum workflows is a plus, but not required; genuine interest in quantum computing matters more than prior exposure.

What We're Not Looking For

  • Candidates focused on enterprise-scale batch computing rather than cloud-native platform engineering.
  • Platform engineers without exposure to GPU workloads or HPC concepts.
  • Candidates who prioritize architectural purity over iterative delivery.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

U.S. Base Pay Range

$150,000 - $170,000 USD

Bay Area Pay Range

$165,000 - $185,000 USD