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Internship Linear Programming Jobs (NOW HIRING)

Shadow, observe and participate in the programming and services we offer to our corporate wellness ... Practical training on how to develop linear and multi-directional movement skills, applications and ...

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Shadow, observe and participate in the programming and services we offer to our corporate wellness ... Practical training on how to develop linear and multi-directional movement skills, applications and ...

New

Shadow, observe and participate in the programming and services we offer to our corporate wellness ... Practical training on how to develop linear and multi-directional movement skills, applications and ...

New

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum ... Topics can include theory and modelling of linear optical networks, fusion-based quantum computing ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum ... Topics can include theory and modelling of linear optical networks, fusion-based quantum computing ...

Currently more than 1500 companies including Linear, Cognition (makers of Devin), Modal Labs, and ... internship will take place in Summer 2027) * (Bonus) You have relevant internship experience or ...

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Senior R&D Engineer - Job ID 18042

Canonsburg, PA ยท On-site

$96K - $131K/yr

May be responsible for managing interns or co-ops but typically does not have direct reports ... Experience with development of iterative solvers and preconditioners for sparse linear systems ...

Engineering Intern

Reno, NV ยท On-site

$16.75 - $21.75/hr

Together, we're driving innovation and helping define the future of the low-voltage linear lighting ... With this internship, you will learn how to apply a wide range of your new competencies into real ...

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Engineering Intern

Reno, NV

$16.75 - $21.75/hr

Together, we're driving innovation and helping define the future of the low-voltage linear lighting ... With this internship, you will learn how to apply a wide range of your new competencies into real ...

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Internship Linear Programming information

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How much do internship linear programming jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship linear programming in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an Internship in Linear Programming?

An Internship in Linear Programming gives students or recent graduates hands-on experience solving optimization problems using mathematical modeling techniques. Interns typically work with experienced data scientists or operations researchers to develop and implement algorithms that maximize or minimize certain objectives, such as cost, time, or resource allocation. The internship may involve using software tools like MATLAB, Python, or specialized optimization packages, and offers practical exposure to real-world problems in industries like logistics, finance, or engineering.

What is the difference between Internship Linear Programming vs Data Analyst Intern?

AspectInternship Linear ProgrammingData Analyst Intern
Required SkillsMathematics, optimization, programmingData analysis, statistics, Excel, SQL
Work EnvironmentTech, consulting, financeBusiness, tech, marketing
Common Employer TypesConsulting firms, tech companiesCorporations, market research firms

Internship Linear Programming focuses on optimization techniques and mathematical modeling, often in technical or consulting settings. Data Analyst Internships emphasize data interpretation, visualization, and statistical analysis. While both roles involve data and problem-solving, they differ in skill sets and industry applications, with Linear Programming internships leaning toward mathematical modeling and Data Analyst internships toward data-driven decision making.

What types of projects can I expect to work on during an internship focused on linear programming?

As an intern specializing in linear programming, you will likely support projects that involve optimizing processes, resource allocation, or scheduling using mathematical models. Typical tasks may include data collection, formulating linear programming problems, running optimization software, and interpreting results to provide actionable recommendations. You'll often collaborate with data analysts, engineers, or operations teams to tackle real-world business challenges and may have the opportunity to present your findings to stakeholders. This hands-on experience helps build both technical and teamwork skills essential for a future career in operations research or analytics.

What are the key skills and qualifications needed to thrive as an Internship Linear Programming, and why are they important?

To excel in an Internship Linear Programming role, you need a solid understanding of linear algebra, optimization techniques, and mathematical modeling, often supported by coursework in operations research or applied mathematics. Familiarity with programming languages such as Python, MATLAB, or R, as well as optimization tools like CPLEX or Gurobi, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with teams. These competencies are crucial for translating complex data into actionable solutions and supporting decision-making processes in real-world business or research environments.
More about Internship Linear Programming jobs
What cities are hiring for Internship Linear Programming jobs? Cities with the most Internship Linear Programming job openings:
What are the most commonly searched types of Linear Programming jobs? The most popular types of Linear Programming jobs are:
What states have the most Internship Linear Programming jobs? States with the most job openings for Internship Linear Programming jobs include:
Infographic showing various Internship Linear Programming job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
2026 PhD Residency - Non-Linear Physical Dynamics & Device Characterization (Future of Compute)

2026 PhD Residency - Non-Linear Physical Dynamics & Device Characterization (Future of Compute)

X, the moonshot factory

Mountain View, CA โ€ข On-site

$100K - $147K/yr

Full-time

Posted 10 days ago


Job description

2 0 2 6 P h D R e s i d e n c y - N o n - L i n e a r P h y s i c a l D y n a m i c s & D e v i c e C h a r a c t e r i z a t i o n ( F u t u r e o f C o m p u t e )
Internship Mountain View, CA
Project Goal:This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). Our objective is to move away from the traditional paradigm of simulating physics on digital chips. Instead, we are building physical machines whose intrinsic dynamics ARE the computation itself, achieving a 1,000,000x improvement in useful compute per Joule.
This residency focuses on the raw physics of non-linear computing. By studying how nanoscale devices behave, synchronize, and drift in a laboratory environment, you will extract the physical laws that make our substrate inherently superior to passive systems. You will study how to harness non-linear dynamics and physical noise to build stable, room-temperature probabilistic computers, bridging microscopic device physics with high-level circuit design.
How you will make 10x impact:
  • Collaborate on the physical modeling and physical characterization of nanoscale devices (e.g., RRAM, carbon nanotube FETs, and phase-locked micro-oscillators), focusing on mapping their non-linear phase-locking dynamics and non-equilibrium thermodynamics.
  • Independently design and execute laboratory testing routines to characterize device-level non-linear activation functions, evaluating their suitability for physical neural network computation.
  • Perform high-resolution noise-spectroscopy and time-domain measurements to analyze 1/f noise, thermal fluctuations, and resistance drift under long-term continuous operation.
  • Analyze and model how ambient physical noise and stochastic thermal fluctuations can be harnessed as a computational resource for probabilistic computing (p-bits) and optimization, rather than suppressed.
  • Investigate the physical coupling and synchronization dynamics of small arrays of physical oscillators, characterizing the limits of multi-phase locking and synchronization stability.
  • Develop compact device behavioral models (e.g., Verilog-A, analytical Python equations) derived directly from physical measurements to update our circuit and system-level simulators.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded in an agile, confidential project team focused on physical exploration, challenging existing assumptions about noise, stability, and digital over-engineering.
  • Direct mentorship from experimental device physicists, materials scientists, and advanced measurement engineers.
  • Access to state-of-the-art semiconductor characterization labs and device probing equipment.

What you should have:
  • Currently enrolled in a PhD program in Physics, Applied Physics, Materials Science, Electrical Engineering (solid-state electronics focus), or a related STEM field.
  • Strong hands-on experience in the physical and electrical characterization of nanoscale devices (such as memristors/RRAM, nanoscale oscillators, or 2D materials) in a laboratory environment.
  • Proficiency in scripting automated measurements (Python/PyVISA, LabVIEW) and analyzing complex physical and time-series datasets.
  • Deep theoretical understanding of solid-state device physics, charge transport, noise processes, and non-equilibrium statistical mechanics.
  • Ability to translate physical device behavior into analytical, numerical, or compact models (e.g., Python, MATLAB, COMSOL, or Verilog-A).

It'd be great if you also had these:
  • Prior experience characterizing phase-locked coupled-oscillator networks, RF micro-oscillators, or stochastic/probabilistic circuits (p-bits).
  • Familiarity with carbon nanotube electronics, novel non-volatile memories, or advanced atomic-force microscopy (AFM/conductive-AFM).

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $100,000 - $147,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .