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Physics Software Engineer Jobs in Secaucus, NJ (NOW HIRING)

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering ...

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering ...

Computer Science, Mathematics, Engineering or Physics, or equivalent worked experience * Craftsman-like approach to building software; takes pride in engineering excellence and instils these values ...

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field. * 8+ years of professional software engineering experience, including at least 3+ years leading ...

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field. * 8+ years of professional software engineering experience, including at least 3+ years leading ...

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field. * 8+ years of professional software engineering experience, including at least 3+ years leading ...

Showing results 41-60

Physics Software Engineer information

See Secaucus, NJ salary details

$64.6K

$150K

$208.9K

How much do physics software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for physics software engineer in Secaucus, NJ is $149,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $175,900.00 per year, depending on experience, location, and employer.

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.

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.

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 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 popular job titles related to Physics Software Engineer jobs in Secaucus, NJ?

For Physics Software Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Physics Software Engineer jobs in Secaucus, NJ look for?

The top searched job categories for Physics Software Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Physics Software Engineer jobs?

Cities near Secaucus, NJ with the most Physics Software Engineer job openings:

Infographic showing various Physics Software Engineer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 8% Internship, 79% Full Time, 10% Part Time, and 3% Temporary. Highlights an 100% In-person job distribution, with an average salary of $149,985 per year, or $72.1 per hour.

Software Engineer Intern

Haize Labs

New York, NY • On-site

$100K - $125K/yr

Full-time, Internship

Re-posted 13 days ago


Job description

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.
We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:
  1. Data-efficient alignment of evaluation models
  2. Dynamic testing of AI applications
  3. Observability and anomaly detection
  4. Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere.
Annual Salary
$100,000 - $125,000 USD
Responsibilities
  • Work directly with customers to adapt our core R&D for different domains.
  • Build out core infra, cloud tooling, and UX around our algorithms.
  • Ship delightful tools that are used by AI application developers all across the world.
Qualifications
  • High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
  • Strong open source presence or strong track record of software engineering projects and employment.
  • Experience with ML in an applied setting.
  • Can ramp up quickly to understand our research.
Logistics
  • Location policy: In NYC.
  • US visa sponsorship: If you are exceptional, we will sponsor.
  • Compensation and Benefits: We provide generous salary, equity, and benefits
We're Not Here to Play Games.
We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready.
Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we're backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.
Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.
We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.