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Stochastic Programming Jobs (NOW HIRING)

Galent

Agentic AI Engineer

Jersey City, NJ

$59.50 - $79/hr

Agentic AI Engineer Location: Burlington, VT/ Boston, MA or Princeton, NJ Key Responsibilities ... Strong reasoning skills with the ability to balance stochastic (GenAI) and deterministic (data ...

Instacart

OR · On-site

Strong foundation in at least two of: feedback control theory (PID, MPC), convex and stochastic optimization, auction theory and mechanism design, dynamic programming. * Proficiency in one of the ...

pony.ai

Software Engineer Intern - Generalist

Fremont, CA · On-site

$7K - $10K/mo

Strong programming skills in C/C++, Python, and software design * Strong foundation in mathematics ... stochastic processes, and complexity analysis. * Possessing solid engineering discipline, or ...

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How much do stochastic programming jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for stochastic programming in the United States is $20.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Stochastic Programming Specialist, and why are they important?

To thrive as a Stochastic Programming Specialist, you need a strong background in mathematics, optimization, probability theory, and typically a graduate degree in operations research, applied mathematics, or a related field. Familiarity with optimization software (such as Gurobi or CPLEX), programming languages (like Python, MATLAB, or R), and experience with modeling frameworks are essential. Analytical thinking, problem-solving ability, and effective communication are key soft skills for translating complex models into actionable solutions. These skills and qualities are crucial for developing robust models that address uncertainty and deliver valuable insights in complex decision-making environments.

What is stochastic programming?

Stochastic programming is a mathematical framework for modeling optimization problems that involve uncertainty. Unlike traditional optimization, where all parameters are assumed to be known and fixed, stochastic programming incorporates random variables to account for uncertain data, such as future demand or prices. This approach is widely used in industries like finance, energy, and supply chain management to make more robust decisions. Solutions often involve scenario analysis or probabilistic constraints to find optimal strategies under uncertainty.

What types of teams or departments do Stochastic Programming specialists typically collaborate with in an organization?

Stochastic Programming specialists often work closely with cross-functional teams, including data scientists, operations research analysts, software engineers, and business strategists. They collaborate to develop mathematical models that account for uncertainty in decision-making processes, ensuring solutions are both robust and practical. Regular interactions with stakeholders from supply chain, finance, or logistics departments are also common, as these areas frequently use stochastic models to optimize outcomes under uncertainty. Effective communication and teamwork are essential, as specialists must translate complex mathematical concepts into actionable strategies for non-technical team members.

What is the difference between Stochastic Programming vs Data Analyst?

AspectStochastic ProgrammingData Analyst
Required credentialsAdvanced degrees in operations research, mathematics, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work environmentOptimization modeling, decision-making under uncertaintyData collection, analysis, visualization
Industry usageSupply chain, finance, energy, logisticsMarketing, finance, healthcare, tech
Common search intentOptimization, decision-making, risk managementData analysis, reporting, insights

While both roles involve working with data and modeling, Stochastic Programming focuses on creating optimization models under uncertainty to support complex decision-making. Data Analysts primarily interpret data to generate insights and reports. The two roles often collaborate but serve different strategic functions within organizations.

Infographic showing various Stochastic Programming job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,608 per year, or $20.5 per hour.
Software Engineer (DSP) - Chantilly, VA

Software Engineer (DSP) - Chantilly, VA

ICR, Inc.

Chantilly, VA

$100K - $200K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago

Job description

Software Engineer DSP
Fairfax, VA

ICR has opportunities available for experienced and motivated Software Engineers with knowledge related to Digital Signal Processing (DSP).

Applications will be accepted on an ongoing basis.

Description

Develop, port and optimize DSP algorithms for both on-prem and cloud development platforms. Integrate into a team of engineers that are developing new DSP algorithms, help develop a methodology to transition algorithms into both on-prem and cloud platforms. Good understanding of software testing protocols. Comfortable w/ both C++ and Python languages and able to use either as needed. Knowledge of Kubernetes, micro-services, cloud platform engineering helpful.

Required Skills and Qualifications

  • Bachelors degree in Electrical Engineering
  • Communications and Digital Signal Processing experience
  • Experience with XMidas development
  • Active Top Secret clearance with SSBI and ability to maintain.
    • US Citizenship required.
  • Experience with C/C++ and Python languages
  • Familiarity with Python, C/C++, and/or other programming languages
  • Knowledge of stochastic signal processing and digital communications.
  • Excellent organization, decision making, and verbal and written communication skills.
  • Exceptional problem-solving skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems.

Preferred Skills and Qualifications

  • Master’s or Ph.D. degree in Electrical/Computer Engineering.
  • Seven (7) years of experience.
  • Experience with Digital Signal Processing (DSP) algorithms implementation in Software and FPGAs
  • Experience with GPUs for high performance signal processing computing
  • Experience with modern communication modulations (FSK, OFDM, QAM, etc.)
  • Experience with distributed software version control systems and continuous integration, such as Git
Salary Range: $100,000 - $200,000 (experience dependent)
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time-off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work and/or military experience, education, training certifications and work location.
ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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