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Convex Optimization Jobs (NOW HIRING)

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy

Gridmatic Inc

Power Systems Research Scientist

Cupertino, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Understanding of numerical methods for convex and/or non-convex optimization * Strong programming skills in Python Nice to Have: * Experience with tools such as PSS/E, PowerWorld, PSLF, or similar

Convex

Software Engineer, AI

San Francisco, CA · On-site

The projects involve range from small ergonomic tweaks to make agentic development seamless, large structural changes like branching and automatic performance optimization of Convex projects, and ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy

C3 AI

Data Scientist (Federal)

Virginia, IL · On-site

Understanding of optimization (constrained, stochastic, convex and non-convex optimization problems) * Experience working with modern IDEs and AI agent tools as part of accelerated development ...

Vise

Quantitative Engineer

New York, NY · On-site

$190K - $270K/yr

  • Medical

  • Retirement

  • PTO

We work closely with convex optimization techniques and numerical optimizations of various problems. Past exposure in solving complex problems in a numerically optimized way is a plus. What you will ...

Vise

Quantitative Engineer

New York, NY

$190K - $270K/yr

  • Medical

  • Retirement

  • PTO

We work closely with convex optimization techniques and numerical optimizations of various problems. Past exposure in solving complex problems in a numerically optimized way is a plus. What you will ...

SpaceX

Software Engineer (Starlink Mobile)

Redmond, WA · On-site

$149K - $187K/yr

... or convex optimization • Developed, debugged, and deployed software that has been used in real world applications/projects • Creative approach to problem solving, exceptional analytical skills ...

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Convex Optimization information

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$16K

$55.8K

$102K

How much do convex optimization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for convex optimization in the United States is $55,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $72,500.00 per year, depending on experience, location, and employer.

What is convex optimization?

A Convex Optimization job involves designing, analyzing, and implementing optimization algorithms to solve mathematical problems where the objective function and constraints are convex. Professionals in this field work in areas such as machine learning, finance, engineering, and operations research to improve efficiency and decision-making. They typically have expertise in linear and nonlinear programming, duality theory, and numerical algorithms. Jobs in this field require strong mathematical and programming skills, often using tools like Python, MATLAB, or CVX.

What does someone working in convex optimization do?

Professionals in Convex Optimization often spend their days formulating mathematical models, designing and implementing algorithms to solve optimization problems, and analyzing results to improve performance across various applications. They collaborate with data scientists, engineers, and domain experts to gather requirements and translate real-world challenges into solvable mathematical formulations. Additionally, they may be involved in code deployment, ensuring models are efficient and scalable for production use. Regular teamwork, troubleshooting, and staying current with the latest optimization research are also key parts of the job.

What are the key skills and qualifications needed to thrive in convex optimization?

To thrive in a Convex Optimization role, you need a strong background in mathematics, particularly in optimization theory, linear algebra, and calculus, often supported by an advanced degree in mathematics, engineering, or computer science. Proficiency in programming languages such as Python, MATLAB, or Julia, and familiarity with optimization libraries and tools like CVX or Gurobi, are usually expected. Strong analytical thinking, problem-solving ability, and effective communication skills help you interpret complex problems and convey solutions to interdisciplinary teams. These skills are essential for designing robust optimization models that drive efficiency and innovation in fields like data science, finance, engineering, and operations research.

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Convex Optimization jobs near you
Infographic showing various Convex Optimization job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $55,794 per year, or $26.8 per hour.

Senior Staff Engineer, Autonomous Planning & Optimization (California)

Shield AI

California, MO • On-site

$94K - $128K/yr

Full-time

Posted 2 days ago

New

Job description

Shield AI is seeking a highly experienced expert in optimization and autonomous systems to join the Discrete Planning Group. You will research, design, and implement state-of-the-art algorithms for task allocation, scheduling, and sequencing across heterogeneous autonomous vehicles, while enhancing C++-based mission planning software.

The role requires a PhD or a Masters with strong experience in optimization and operations research, with proficiency in ILP/CP/convex optimization and

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