Research Engineer (Physics Simulation)

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

YesVisa

Industrial Automation, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should have at least 1 year of experience in research or applied engineering and possess a Bachelor's or Master's degree in Mechanical Engineering or a related field. The ideal candidate will have a passion for physics, proficiency in writing robust code, and experience with thermodynamics and fluid mechanics. Preference is given to candidates located in the UK, USA (California, Colorado, Connecticut, Georgia, Florida, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington), or Canada (Ontario, British Columbia, Alberta).

Responsibilities

The Research Engineer will design and implement physics-based simulation models for thermodynamic and fluid systems, translating governing equations into performant numerical code. Responsibilities include collaborating with AI researchers to integrate simulators with reinforcement learning agents, validating simulators against real-world data, contributing to Phaidra’s simulation and AI platform, and clearly documenting and communicating technical ideas across teams.

Skills

Physics Simulation

Reinforcement Learning

Deep Learning

Python

C++

Machine Learning

Data Analysis

Software Development

Industrial Automation

Control Systems

Phaidra

AI virtual plant operators for industrial efficiency

About Phaidra

Phaidra deploys artificial intelligence virtual plant operators to support operations teams in critical facilities. Their AI-powered control systems are designed to enhance stability, energy efficiency, and sustainability by learning and adapting over time. Unlike traditional static control systems that cannot adjust dynamically, Phaidra's technology continuously improves performance, addressing issues of degradation and lack of resiliency in industrial settings. The company has achieved notable success, such as delivering 40% energy savings at Google's data centers, and is expanding its solutions to various sectors, including pharmaceutical production and data centers. Phaidra's goal is to enhance operational efficiency and sustainability for its clients, generating revenue through the implementation and maintenance of its AI-driven systems.

Seattle, WashingtonHeadquarters

2019Year Founded

$41.3MTotal Funding

EARLY_VCCompany Stage

Industrial & Manufacturing, Energy, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Parental Leave

Home Office Stipend

Company Equity

Risks

Increased competition from AI-driven industrial solutions providers could impact Phaidra's market share.

Rapid AI advancements may require Phaidra to continuously innovate, straining resources.

Potential data privacy concerns and regulatory scrutiny could challenge Phaidra's operations.

Differentiation

Phaidra offers AI solutions for mission-critical facilities, enhancing stability and efficiency.

The company combines AI expertise from Google-Deepmind with industry knowledge from Trane and Johnson Controls.

Phaidra's AI systems adapt and improve over time, unlike static, hard-coded control systems.

Upsides

Phaidra achieved 40% energy savings at Google's data centers, showcasing its effectiveness.

The rise of edge computing complements Phaidra's solutions for real-time analytics and efficiency.

Growing interest in AI-driven predictive maintenance aligns with Phaidra's focus on stability.

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