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Remote Modeling Simulation Engineer Jobs in New York

10a Labs

Security Engineer

New York, NY · Remote

$105K - $125K/yr

... simulation). * Familiarity with AI-specific risks such as prompt injection, model theft, data ... Fully remote, U.S.-based. * Health Benefits: Comprehensive health, dental, and vision coverage.

E-N-G

Electrical BIM Modeler (Remote)

Manhattan, NY · Remote

ENG is seeking a Modeler or BIM Specialist to create accurate BIM models in a fully remote position ... in Electrical Engineering. Benefits include performance-based promotions, flexible work ...

BI-Commercial

Tandem Developer _Remote

Jersey City, NJ · Remote

Background in Tandem utilities, transaction simulators and source repositories Additional Skills ... Strong technical experience with design, development, modeling, application performance tuning, and ...

Continued

AI Engineer (Remote)

Manhattan, NY · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US The Mission ... The AI Engineer will be responsible for moving models out of a notebook environment and integrating ...

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Collaborate in pair programming, code reviews, and documentation of data models. * Implement ...

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Remote Modeling Simulation Engineer information

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

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

What are the most commonly searched types of Modeling Simulation Engineer jobs in New York? The most popular types of Modeling Simulation Engineer jobs in New York are:
What are popular job titles related to Remote Modeling Simulation Engineer jobs in New York? For Remote Modeling Simulation Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in New York look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in New York are:
What cities in New York are hiring for Remote Modeling Simulation Engineer jobs? Cities in New York with the most Remote Modeling Simulation Engineer job openings:
Remote Modeling Simulation Engineer jobs near you

Security Engineer

10a Labs

New York, NY • Remote

$105K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Role overview: As a Security Engineer, you will be on the front line of securing cutting-edge AI systems. You'll identify vulnerabilities, build protections into code and workflows, and partner with researchers to reduce risks from adversarial actors. This role requires strong technical skills, a security-first mindset, and comfort working in a fast-paced, startup environment where threats and priorities evolve quickly.

In this role, you will:

  • Conduct threat modeling, vulnerability assessments, and red-team style testing of AI-related systems.
  • Design and implement security controls across infrastructure, applications, and data pipelines.
  • Build, operate, and maintain detection, monitoring, and incident response capabilities, including investigating incidents and driving remediation.
  • Collaborate with engineers and researchers to embed security best practices into the design and deployment of AI systems.
  • Develop automation, tooling, and documentation to improve security operations and reduce manual effort.
  • Stay current on emerging threats - particularly those related to AI/ML, cloud, and large-scale distributed systems.

We're looking for someone who:

  • Brings deep experience in cybersecurity, threat detection, or a related area.
  • Thrives in fast-moving, high-impact environments such as startups, AI research labs, or security-focused teams.
  • Enjoys tackling complex, ambiguous problems and adapts quickly as priorities evolve.
  • Takes initiative, communicates openly, and consistently pushes themselves - and their team - to deliver high-quality results.
  • Works effectively both independently and collaboratively, contributing to team goals while managing projects with accountability.
  • Can clearly communicate technical security concepts and risk trade-offs to both engineering and non-technical audiences.

Requirements:

  • Degree in Computer Science, Engineering, Cybersecurity, or a related field - or equivalent professional experience. 
  • 3+ years of hands-on experience in security engineering, application security, detection & response, or penetration testing.
  • Proficient in pertinent programming/scripting languages (e.g., Python, Go, bash/ powershell, etc.).
  • Strong knowledge of secure software development practices, including threat modeling, code review, and DevSecOps principles.
  • Solid understanding of cloud security concepts (IAM, VPCs, encryption, logging/monitoring) and secure deployment practices.
  • Familiarity with modern infrastructure, containerization (Docker, Kubernetes), and scalable distributed systems.
  • Experience effectively communicating complex security topics to technical and non-technical stakeholders.

Very Nice to Have:

  • Hands-on experience securing AI/ML systems, data pipelines, or large-scale distributed environments.
  • Background in offensive security (exploit development, red teaming, adversary simulation).
  • Familiarity with AI-specific risks such as prompt injection, model theft, data poisoning, or adversarial ML.

Compensation & Benefits:

  • Salary Range: $105K-$125K, depending on experience and location.
  • Bonus: Performance-based annual bonus.
  • Professional Development: Support for conferences, continuing education, or leadership training.
  • Work Environment: Fully remote, U.S.-based.
  • Health Benefits: Comprehensive health, dental, and vision coverage.
  • Time Off: Generous PTO and paid holiday schedule.
  • Retirement: 401(k) plan.

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