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Convex Optimization Jobs (NOW HIRING)

SpaceX

Software Engineer, CDN (Starlink)

Redmond, WA · On-site

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

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods. * Experience with Numerical Analysis and high ...

SpaceX

Sr. Software Engineer, CDN (Starlink)

Redmond, WA · On-site

$137K - $180K/yr

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

QCi

Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods. * Experience with Numerical Analysis and high ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods. We provide competitive total ...

Cellanome

Machine Learning Engineer

... convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods. Company : Cellanome engages in cutting-edge synthetic biology and informatics methods ...

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How much do convex optimization jobs pay per year?

As of Jul 10, 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 are the typical day-to-day tasks of someone working in a Convex Optimization role?

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 the Convex Optimization position, and why are they important?

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.

What is a Convex Optimization job?

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.

More about Convex Optimization jobs
What cities are hiring for Convex Optimization jobs? Cities with the most Convex Optimization job openings:
What are the most commonly searched types of Convex Optimization jobs? The most popular types of Convex Optimization jobs are:
What states have the most Convex Optimization jobs? States with the most job openings for Convex Optimization jobs include:
What job categories do people searching Convex Optimization jobs look for? The top searched job categories for Convex Optimization jobs are:
Convex Optimization jobs near you
Infographic showing various Convex Optimization job openings in the United States as of July 2026, with employment types broken down into 40% Internship, 8% As Needed, 13% Full Time, 28% Temporary, and 11% Nights. Highlights an 80% Physical, 10% Hybrid, and 10% Remote job distribution, with an average salary of $55,794 per year, or $26.8 per hour.
Sr. Software Engineer, Beam Planning (Starlink)

Sr. Software Engineer, Beam Planning (Starlink)

SpaceX

Palo Alto, CA • On-site

$144K - $190K/yr

Full-time

Posted 17 hours ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

13th of 61 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing technologies to enable human life on Mars and is seeking a Sr. Software Engineer for their Starlink program. The role involves improving the utilization of deployed hardware to enhance satellite internet experience for customers, especially underserved communities.
Responsibilities:
• Develop highly reliable, real-time software that determines which beams (user, laser, gateway, etc) should be formed in order to provide the best possible user experience for our low-latency, high-bandwidth satellite-based global network.
• Participate in and lead architecture, design, and code reviews.
• Develop prototypes and manage experiments to prove out key design concepts.
• Develop tools for software development and deployment, data analysis and visualization, and test execution across multiple environments, including virtualized hardware environments, real hardware-in-the-loop simulations, and on-orbit testing.
Qualifications:
Required:
• Bachelor’s degree in computer science, engineering, math, or STEM discipline and 5+ years of professional experience in software development experience; OR 7+ years of professional experience in software development in lieu of a degree.
• Development experience in assembly, C, or C++.
• Must be willing to work extended hours and weekends as needed.
Preferred:
• Knowledgeable in real-time rendering, game engine development, physics simulation, or other real-time, resource-constrained, high-performance computing.
• Knowledgeable in network topology, numerical optimization techniques, graph theoretic approaches, 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, and engineering fundamentals.
• Excellent communication skills both written and verbal.
• Ability to work effectively in a dynamic environment with changing needs and requirements.
• Experience with distributed systems and internet services.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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