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Physics Startup Jobs (NOW HIRING)

Valar Atomics

Health Physicist

Orangeville, UT · On-site

... paced startup environment. Basic Qualifications * Education: * Bachelor's degree (or higher) from an accredited university in Health Physics, Nuclear Engineering, a related physical science (e.g ...

Valar Atomics

Health Physicist

Orangeville, UT

... paced startup environment. Basic Qualifications * Education: * Bachelor's degree (or higher) from an accredited university in Health Physics, Nuclear Engineering, a related physical science (e.g ...

Infleqtion

Quantum Physicist

Madison, WI · On-site

$130K - $211K/yr

As a deep-tech startup, we embrace a results-driven, fast-paced, and customer-focused approach to ... PhD in atomic physics, optical physics, or related field; or equivalent related professional ...

Infleqtion

Quantum Physicist

Boulder, CO · On-site

$130K - $211K/yr

As a deep-tech startup, we embrace a results-driven, fast-paced, and customer-focused approach to ... PhD in atomic physics, optical physics, or related field; or equivalent related professional ...

Infleqtion

Quantum Physicist

Madison, WI

$130K - $211K/yr

As a deep-tech startup, we embrace a results-driven, fast-paced, and customer-focused approach to ... PhD in atomic physics, optical physics, or related field; or equivalent related professional ...

Infleqtion

Quantum Physicist

Chicago, IL

$130K - $211K/yr

As a deep-tech startup, we embrace a results-driven, fast-paced, and customer-focused approach to ... PhD in atomic physics, optical physics, or related field; or equivalent related professional ...

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Physics Startup information

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How much do physics startup jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for physics startup in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Physics Startup vs Physics Research Scientist?

AspectPhysics StartupPhysics Research Scientist
Required CredentialsTypically requires a Bachelor's or Master's in Physics or related field; some roles may prefer PhDUsually requires a PhD in Physics or a closely related discipline
Work EnvironmentFast-paced, entrepreneurial, often in office or lab settings, with a focus on product development or innovationAcademic or institutional labs, research centers, with focus on experiments and theoretical work
Employer & Industry UsageStartups, tech companies, R&D firms focusing on new technologies or applicationsUniversities, government labs, research institutions

Physics startups focus on applying physics principles to develop new products or technologies in a dynamic environment, often requiring entrepreneurial skills. Physics research scientists primarily conduct experiments and theoretical research in academic or institutional settings. Both roles require strong physics backgrounds but differ in work environment and objectives.

What are some typical challenges faced when working at a physics startup, and how can I prepare for them?

Working at a physics startup often involves navigating rapid changes, limited resources, and a need for creative problem-solving. You'll likely be required to wear multiple hats, adapt quickly, and contribute outside your core area of expertise. Effective communication and teamwork are essential, as teams are typically small and highly collaborative. Preparing by developing flexibility, strong project management skills, and a proactive attitude will help you thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive at a physics startup, and why are they important?

To thrive at a physics startup, you need a strong background in physics or engineering, problem-solving abilities, and preferably an advanced degree in a relevant field. Familiarity with simulation software, lab instrumentation, and data analysis tools—as well as experience with prototyping and product development—are often essential. Initiative, adaptability, and strong collaboration skills help individuals excel in the dynamic and fast-paced environment of a startup. These skills enable innovative solutions, efficient progress, and effective teamwork, which are crucial for the success and growth of a physics-focused startup.

What is a physics startup?

A physics startup is a company that leverages advancements in physics to develop new technologies, products, or services. These startups often focus on innovative solutions in areas like quantum computing, advanced materials, medical devices, or energy. Physics startups typically emerge from academic research or collaborations and aim to commercialize scientific breakthroughs. They play a crucial role in bringing cutting-edge physics research to market, driving technological progress and economic growth.
More about Physics Startup jobs
What cities are hiring for Physics Startup jobs? Cities with the most Physics Startup job openings:
What states have the most Physics Startup jobs? States with the most job openings for Physics Startup jobs include:
What job categories do people searching Physics Startup jobs look for? The top searched job categories for Physics Startup jobs are:
Physics Startup jobs near you
Infographic showing various Physics Startup job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Physics Applications - Software Engineer

Vinci AI

Palo Alto, CA • On-site

$210K - $285K/yr

Full-time

Posted 3 days ago

Job description

The Mission
At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realistic production workloads.
  • Trained on PetaBytes of structured physics data
  • Running billion-voxel inference in production
  • Tier-1 semiconductor and hardware customers
  • Operating across multiple physical scales and operator regimes

We are scaling deployment at industrial magnitude:
  • Increase simulation throughput by two orders of magnitude
  • Expand simulation capabilities to maximize utility and domain coverage
  • Support global, multi-entity deployment across Tier-1 ecosystems

Our ambition is to become the default operator intelligence layer that hardware companies run on.
Solving Across Space and Time
Our proven unified model architecture allows users to rapidly obtain steady state solutions of various partial differential equations. We are expanding this capability to support new physics, new geometries. Beyond that we are building out transient solutions, modeling interactions, deformation and dynamics. A core challenge as we scale out support is designing simple and clean interfaces that turn portions of the codebase into a clean library, ensuring they are correct and accurately reflect the underlying physics being modeled. These are promising applications where Vinci's approach can not only reduce the compute load but also achieve greater accuracy.
What You Will Do
Your north star will be production and delivering value to our customers while establishing and maintaining the technical integrity of our codebase.
In this role you will define and implement high-quality, reusable software libraries for our core simulation engine. You will drive code quality, testability, and architectural standards across the team, ensuring our production system scales gracefully and remains maintainable. This includes designing interfaces that are easy to access and correctly reflect the physics they are modeling. You will take ownership of critical system components, mentor junior engineers, and guide the team in transforming research prototypes into hardened, customer-facing features.
You will work with Physicists, AI researchers, Software Engineers and Computational Geometry experts. You will collaborate closely with this team to enforce software engineering best practices throughout the full development lifecycle, from ideation to deployment.
What We're Looking For
Qualifications:
  • 8+ years of experience in high-quality software development, with significant experience designing and building production-grade systems.
  • Prior experience with scientific computing or physics simulators (FEM, FEA, Molecular Dynamics, FDTD), or large-scale machine learning systems.
    • STEM MSc, PhD preferred but not required.
  • Demonstrated ability to lead technical initiatives focused on code health, modularity, and system correctness.
  • Expertise in building robust, tested, and maintainable software libraries and APIs.
  • Strong proficiency in modern software development practices, including system design, agentic coding, testing frameworks, and continuous integration/delivery (CI/CD).
  • Have contributed to a production data processing system.

We are very excited to talk with you if you have
  • Experience building and maintaining core ML, data infrastructure, or numerical computing software (e.g., PyTorch, Numpy, Cuda, distributed systems).
  • Experience going from early stage prototype moving to a production environment
    • At a Startup or National Lab
  • Have leveraged simulation for design or data generation purposes.

Engineering Expectations
  • Architectural Leadership: Define and uphold rigorous software design standards to ensure the code base remains clean, modular, and scalable in a production environment.
  • Code Health and Testability: Drive strong CI, comprehensive regression testing, and validation discipline across all components.
  • Technical Ownership: Capable of independently solving complex architectural problems and taking ownership of core model infrastructure evolution.
  • Mentorship: Mentor scientists & engineers on best practices, performance optimization, and system design.

Why Vinci
Join a rare early-stage startup that has successfully moved a foundational product from research to real-world, production environments, already serving Tier-1 semiconductor and hardware customers.
Our Mission & Impact
Vinci is building the operator intelligence infrastructure that modern hardware programs rely on daily. We are scaling our solution to accelerate design validation from hours to seconds. You will contribute to expanding our unified model architecture, which currently runs billion-voxel inference, into the transient domain-a key frontier in modeling interactions, deformation, and dynamics. Our ambition is to become the default operator intelligence layer for hardware companies.
Growth & Opportunity
This is a unique opportunity for technical and professional growth, as you will define a foundational abstraction layer early in the company's trajectory. The team is small, friendly, and accessible. You will be empowered to "own and architect large pieces of the system" alongside a team of Physicists, AI researchers, Software Engineers, and Computational Geometry experts. This includes greenfield opportunities to expand Vinci's core capabilities.
Leadership
You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik Kabaria, whose vision is to greatly accelerate physics simulations with ML while retaining solver grade accuracy.

Apply