1

Physics Software Engineer Jobs in Colorado (NOW HIRING)

Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. * Familiarity with data structures, storage systems, cloud infrastructure, front-end ...

Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. * Familiarity with data structures, storage systems, cloud infrastructure, front-end ...

Showing results 41-60

Physics Software Engineer information

What is the difference between Physics Software Engineer vs Data Scientist?

AspectPhysics Software EngineerData Scientist
Required CredentialsBachelor's or Master's in Physics, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentResearch labs, tech companies, aerospace, or defense industriesTech firms, finance, healthcare, or consulting companies
Industry UsagePhysics research, simulation, modeling, and software developmentData analysis, machine learning, predictive modeling, and data visualization

Physics Software Engineers focus on developing software for physics applications, simulations, and research, often working in research or engineering environments. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong programming skills, Physics Software Engineers emphasize physics principles, whereas Data Scientists focus on data analysis and statistical methods.

What are the key skills and qualifications needed to thrive as a physics software engineer?

To thrive as a Physics Software Engineer, you need a strong background in physics, mathematics, and computer science, typically supported by a degree in physics, engineering, or a related field. Proficiency in programming languages such as C++, Python, or MATLAB, and experience with simulation software or scientific computing libraries are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and interpreting complex data. These skills are vital for developing accurate, efficient software solutions that model physical systems and drive innovation in scientific and engineering projects.

What is a physics software engineer?

A Physics Software Engineer is a professional who develops, maintains, and optimizes software that simulates or models physical systems and phenomena. They often work at the intersection of physics, computer science, and engineering, creating tools for scientific research, simulations, or real-time physics engines used in industries like gaming, aerospace, or research institutions. These engineers typically have a strong background in both physics and programming, enabling them to translate complex physical formulas and concepts into efficient and accurate code. Their work is crucial for advancing technology in areas such as computational physics, virtual reality, and engineering design.

How does a physics software engineer typically collaborate with scientists and other engineering teams during a project?

Physics Software Engineers often work closely with physicists, data scientists, and hardware engineers to translate complex physical models into reliable software solutions. Collaboration usually involves regular meetings to clarify requirements, iterative development cycles to test and validate simulation accuracy, and ongoing feedback to refine algorithms. Effective communication and teamwork are essential, as engineers must bridge the gap between theoretical concepts and practical implementation while ensuring that software integrates smoothly with other systems. This collaborative environment fosters continuous learning and problem-solving, making the role both challenging and rewarding.
What cities in Colorado are hiring for Physics Software Engineer jobs? Cities in Colorado with the most Physics Software Engineer job openings:

Senior Software Engineer I/II - Simulation Engineering

Rocket Lab Corporation

Littleton, CO • On-site

$122K - $161K/yr

Other

Re-posted 19 days ago


Rocket Lab rating

9.2

Company rating: 9.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

3rd of 71 rated aerospace companies


Job description

SPACE SYSTEMS

At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.

Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. 

SENIOR SOFTWARE ENGINEER I/II - SIMULATION ENGINEERING

We are seeking a highly skilled and experienced Senior Software Engineer I/II - Simulation Engineering to join our team, based out of our Littleton, CO site. In this role, you will focus on architecting large-scale simulation environments and driving high-level data analysis to solve complex aerospace challenges. You will work closely with cross-functional teams to design distributed simulation campaigns, extract actionable insights from massive datasets, and support critical mission decision-making processes. This position is ideal for someone with a strong background in big data analysis, distributed computational modeling, and software systems architecture, who thrives in solving constellation-level technical problems.

WHAT YOU'LL GET TO DO:

  • Architect and deploy large-scale, distributed simulation environments for complex aerospace systems, including multi-vehicle and constellation-level modeling.
  • Develop robust data pipelines to process, analyze, and visualize massive datasets generated by high-fidelity simulations.
  • Derive actionable engineering and mission-level insights through advanced statistical analysis and data modeling of simulation outputs.
  • Optimize simulation infrastructure for high-performance computing (HPC) and distributed cluster environments to ensure scalability.
  • Collaborate with domain experts to define campaign-level requirements and translate mission objectives into scalable simulation architectures.
  • Lead the integration of complex simulation ecosystems, ensuring synchronization across multiple subsystems and analytical tools. 

(Please note: This position can be hired at the Senior Software Engineer I or Senior Software Engineer II level.) 

QUALIFICATIONS YOU'LL BRING AS SENIOR SOFTWARE ENGINEER I:

  • Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or a related field.
  • 5+ years of industry experience focusing on large-scale simulation engineering, data analysis, or distributed computational modeling. 
  • Proficiency in languages used for heavy data analysis and simulation infrastructure (e.g., Python, C++, or similar). 
  • Demonstrated experience architecting and analyzing large-scale Monte Carlo campaigns. 
  • Experience processing and analyzing large datasets using modern data analytics libraries or frameworks. 
  • Experience modeling complex, multi-component physical systems (e.g., spacecraft constellations, multi-vehicle architectures, or robotics). 
  • U.S citizenship required, due to program requirements. 

QUALIFICATIONS YOU'LL BRING AS SENIOR SOFTWARE ENGINEER I:

  • Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or a related field.
  • 5+ years of industry experience focusing on large-scale simulation engineering, data analysis, or distributed computational modeling. 
  • Proficiency in languages used for heavy data analysis and simulation infrastructure (e.g., Python, C++, or similar). 
  • Demonstrated experience architecting and analyzing large-scale Monte Carlo campaigns. 
  • Experience processing and analyzing large datasets using modern data analytics libraries or frameworks. 
  • Experience modeling complex, multi-component physical systems (e.g., spacecraft constellations, multi-vehicle architectures, or robotics). 
  • U.S citizenship required, due to program requirements. 

THESE QUALIFICATIONS WOULD BE NICE TO HAVE:

  • Active Secret clearance, Top Secret clearance, or ability to obtain and maintain one
  • Strong familiarity with high-performance computing (HPC), parallel processing, and distributed compute clusters (e.g., Docker Swarm, Kubernetes). 
  • Experience in multi-vehicle or synchronized distributed simulation environments. 
  • Advanced understanding of statistical analysis, data visualization techniques, and optimization algorithms. 
  • Experience with machine learning or AI-driven methodologies applied to large dataset analysis or simulation generation. 
  • Familiarity with cloud-based simulation platforms or large-scale data lakes. 
  • Proven ability to tackle complex architectural challenges and deliver innovative data solutions. 

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.


What Rocket Lab employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom