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Executive Physics Engineer Jobs (NOW HIRING)

UniversalAGI

ML Engineer

San Francisco, CA · On-site

San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 5 Days Onsite Machine Learning Engineer Location: Onsite in San Francisco Compensation: Competitive ...

Vinci AI

Physics Applications - Researcher

Palo Alto, CA · On-site

$190K - $260K/yr

You will work with Physicists, AI researchers, Software Engineers and Computational Geometry ... Leadership You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik ...

Solve Intelligence

Account Executive/GTM

New York, NY · On-site

$100K - $200K/yr

Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per ... STEM Degree: (Maths, CS, Physics, Engineering, etc.). * Legal/IP Background: Experience in patent ...

Solve Intelligence, Inc

Account Executive/GTM

New York, NY · On-site

$100K - $200K/yr

Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per ... STEM Degree: (Maths, CS, Physics, Engineering, etc.). * Legal/IP Background: Experience in patent ...

PhysicsX

Executive Assistant

New York, NY · On-site

... high-fidelity, multi-physics simulation through AI inference across the entire engineering ... We're looking for a proactive, organized, and adaptable Executive Assistant to join our New York ...

Axiomatic_AI

Executive Assistant

Boston, MA · Hybrid

By combining deep learning with formal logic and physics-based modeling, we create verifiable ... engineering workflows. Our mission, 3030, is to deliver a 30 improvement in the speed ...

Everstar Inc

Founding AI Engineer

New York, NY · On-site

Push the frontier on physics models, world models, and AI-accelerated simulations. High-leverage IC ... The Role (reporting to the CEO) Not a researcher. Not a prompt engineer. This is a production-first ...

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Executive Physics Engineer information

See salary details

$57.5K

$103.7K

$154.5K

How much do executive physics engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for executive physics engineer in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Executive Physics Engineer, and why are they important?

To thrive as an Executive Physics Engineer, you need an advanced degree in physics or engineering, deep expertise in applied physics, and significant experience with research and project leadership. Familiarity with simulation software, advanced laboratory equipment, and industry-specific certifications such as PE (Professional Engineer) or chartered status are common requirements. Strong leadership, strategic thinking, and effective communication are crucial soft skills for guiding teams and stakeholders. These skills ensure innovative solutions, project success, and organizational growth in complex technical environments.

What does an Executive Physics Engineer do?

An Executive Physics Engineer is a senior-level professional who leads engineering projects that require deep expertise in physics. They are responsible for overseeing the development, design, and implementation of advanced systems or products, often in fields like aerospace, energy, or technology. Their role combines technical leadership, project management, and strategic planning to ensure projects meet scientific and business objectives. They often collaborate with multidisciplinary teams, mentor junior engineers, and communicate results to stakeholders. This position typically requires an advanced degree in physics or engineering and significant industry experience.

What is the difference between Executive Physics Engineer vs Mechanical Engineer?

AspectExecutive Physics EngineerMechanical Engineer
Required CredentialsBachelor's or Master's in Physics or related field; certifications in physics applicationsBachelor's or Master's in Mechanical Engineering; professional engineering license often preferred
Work EnvironmentResearch labs, R&D departments, technical consultingManufacturing, design firms, product development
Industry UsageTechnology, aerospace, defense, research institutionsAutomotive, aerospace, manufacturing, consumer products

The Executive Physics Engineer focuses on applying physics principles to research and development projects, often in high-tech industries. In contrast, Mechanical Engineers typically work on designing, analyzing, and manufacturing mechanical systems. While both roles require strong technical skills, the Executive Physics Engineer emphasizes physics-based problem solving, whereas Mechanical Engineers focus on mechanical design and systems. Both roles are vital in engineering sectors but serve different specialized functions.

How does an Executive Physics Engineer typically collaborate with cross-functional teams within an organization?

An Executive Physics Engineer often works closely with multidisciplinary teams, including product development, research scientists, and business leaders. They act as a technical liaison, translating complex physics concepts into actionable engineering solutions while ensuring projects align with organizational goals. Frequent collaboration involves leading technical discussions, overseeing experimental design, and providing guidance to junior engineers. This cross-functional interaction helps drive innovation and ensures that projects are both technically robust and commercially viable.
More about Executive Physics Engineer jobs
What cities are hiring for Executive Physics Engineer jobs? Cities with the most Executive Physics Engineer job openings:
What are the most commonly searched types of Physics Engineer jobs? The most popular types of Physics Engineer jobs are:
What states have the most Executive Physics Engineer jobs? States with the most job openings for Executive Physics Engineer jobs include:
What job categories do people searching Executive Physics Engineer jobs look for? The top searched job categories for Executive Physics Engineer jobs are:
Executive Physics Engineer jobs near you
Infographic showing various Executive Physics Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $103,684 per year, or $49.8 per hour.

ML Engineer

UniversalAGI

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 5 Days Onsite
Machine Learning Engineer
Location: Onsite in San Francisco
Compensation: Competitive Salary + Equity
Who We Are
UniversalAGI is building OpenAI for Physics. AI startup based in San Francisco and backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico). We're building foundation AI models for physics that enable end-to-end industrial automation from initial design through optimization, validation, and production. We're building a high-velocity team of relentless researchers and engineers that will define the next generation of AI for industrial engineering. If you're passionate about AI, physics, or the future of industrial innovation, we want to hear from you.
About the Role
UniversalAGI is hiring an ML Engineer to help ship ML outcomes by owning the execution layer: data preprocessing/generation, training/fine-tuning, benchmarking, and delivering results.
What You'll Do
  • Build and maintain data preprocessing and data generation pipelines to support model training and evaluation.
  • Run training and fine-tuning workflows end-to-end and iterate quickly on performance improvements.
  • Design and execute benchmarking/evaluation suites to measure progress and customer outcomes.
  • Collaborate with PhD expert researchers to operationalize model architectures into repeatable, production-grade workflows.
  • Communicate results clearly (metrics, dashboards, short writeups) and maintain high-quality, reproducible work.

Qualifications
  • Strong software engineering skills (clean code, debugging, reliability, reproducibility).
  • Solid ML foundations and hands-on experience with the ML lifecycle: data → training/fine-tuning → evaluation/benchmarking.
    • Prior experience training or fine-tuning models (any modality/type - LLMs, computer vision, physics, surrogate models, etc.)
  • Olympic athlete mindset: You have high standards for yourself and are obsessed with measurable improvement on the metrics you are delivering.
  • Resourcefulness: you know when to do the "quick & correct" fix vs. when to invest in a robust solution, and you can justify the tradeoff with impact/
  • Ownership: Comfortable owning work end-to-end and being accountable for measurable outcomes.

Bonus Qualifications
  • Experience building data pre-processing pipelines for training ML models.
  • Experience with benchmarking methodology, experiment design, and metric selection.
  • Familiarity with distributed training / scalable compute workflows.
  • Experience in an FDE-style / delivery execution role (or similar "ship results fast" environments).

Cultural Fit
  • Technical Respect: Ability to earn respect through hands-on technical contribution
  • Intensity: Thrives in our unusually intense culture - willing to grind when needed
  • Customer Obsession: Passionate about solving real customer problems, not just publishing papers
  • Deep Work: Values long, uninterrupted periods of focused work over meetings
  • High Availability: Ready to be deeply involved whenever critical issues arise
  • Communication: Can translate complex model decisions to customers and team
  • Growth Mindset: Embraces the compounding returns of intelligence and continuous learning
  • Startup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats
  • Work Ethic: Willing to put in the extra hours when needed to hit critical milestones
  • Team Player: Collaborative approach with low ego and high accountability
  • Bias for Action: Ships experiments fast, learns from failures, and iterates quickly

What We Offer
  • Opportunity to define the future of physics AI from the ground up
  • Work on cutting-edge problems at the intersection of deep learning and physics simulation
  • Direct collaboration with the founder & CEO and ability to influence company strategy
  • Competitive compensation with significant equity upside
  • In-person first culture - 5 days a week in office with a team that values face-to-face collaboration
  • Access to world-class investors and advisors in the AI space

Benefits
We provide great benefits, including:
  • Competitive compensation and equity.
  • Competitive health, dental, vision benefits paid by the company.
  • 401(k) plan offering.
  • Flexible vacation.
  • Team Building & Fun Activities.
  • Great scope, ownership and impact.
  • AI tools stipend.
  • Monthly commute stipend.
  • Monthly wellness / fitness stipend.
  • Daily office lunch & dinner covered by the company.
  • Immigration support.

How We're Different
"The credit belongs to the man who is actually in the arena, whose face is marred by dust and
sweat and blood; who strives valiantly; who errs, who comes short again and again... who at the
best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least
fails while daring greatly." - Teddy Roosevelt
At our core, we believe in being "in the arena. " We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful.
If you're ready to train the models that will revolutionize physics simulation, push the boundaries of what AI can learn, and deliver real impact, UniversalAGI is the place for you.

Apply