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Home Based Convex Optimization Jobs (NOW HIRING)

Inversion

Staff GNC Engineer (Guidance)

Los Angeles, CA · On-site

$161K - $221K/yr

Experience with modern convex optimization methods for guidance (e.g., successive convexification ... Individual pay will be determined on a case-by-case basis and may vary based on the following ...

Children's Aid

Home-Based Teacher

Bronx, NY · On-site +1

$21.04 - $24.70/hr

The Home-Based Teacher maintains compliance with Head Start Performance Standards, applicable ... Promote high-quality teaching and learning in the home setting that leads to optimal development ...

Children's Aid

Home Based Teacher

Manhattan, NY · On-site +1

$21.04 - $24.70/hr

The Home-Based Teacher maintains compliance with Head Start Performance Standards, applicable ... Promote high-quality teaching and learning in the home setting that leads to optimal development ...

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

... onto entropy-based photonic quantum processors, including post-processing pipelines. * Build ... Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer ...

QCi

... onto entropy-based photonic quantum processors, including post-processing pipelines. * Build ... Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer ...

Inversion

Staff GNC Engineer (Guidance)

Los Angeles, CA · On-site

$161K - $221K/yr

Experience with modern convex optimization methods for guidance (e.g., successive convexification ... Individual pay will be determined on a case-by-case basis and may vary based on the following ...

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Home Based Convex Optimization information

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$16K

$55.8K

$102K

How much do home based convex optimization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for home based 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 a home based convex optimization?

A Home Based Convex Optimization job involves working remotely to solve mathematical problems where the objective function is convex, meaning any local minimum is a global minimum. Professionals in this role typically use advanced mathematical and computational techniques to optimize processes, systems, or models across various industries, such as finance, engineering, or machine learning. Tasks may include developing algorithms, implementing optimization models, and analyzing data sets to find optimal solutions. These jobs often require a strong background in mathematics, computer science, and experience with optimization software or programming languages.

What are the key skills and qualifications needed to thrive as a home based convex optimization specialist, and why are they important?

To excel as a Home-Based Convex Optimization Specialist, you need a strong background in mathematics, particularly linear algebra and calculus, along with experience in optimization theory and a relevant degree such as mathematics, engineering, or computer science. Proficiency with technical tools like MATLAB, Python (with libraries such as CVXPY), and optimization solvers is typically required. Critical thinking, problem-solving, and effective remote communication are essential soft skills for success in this independent, analytical role. These skills are crucial for accurately modeling, solving complex optimization problems, and collaborating efficiently with remote teams or clients.

What are some common challenges faced by professionals working in home based convex optimization roles, and how can they be addressed?

One common challenge in home-based convex optimization roles is maintaining effective communication with team members, especially when collaborating on complex mathematical models or sharing large datasets. To address this, professionals often use collaborative tools such as cloud-based platforms and version control systems to facilitate seamless workflow and project tracking. Additionally, the solitary nature of remote work can make problem-solving more difficult, so regular virtual meetings and knowledge-sharing sessions are essential for fostering a supportive team environment. Staying updated with the latest research and optimization software also helps in overcoming technical obstacles and enhancing productivity.

What is the difference between Home Based Convex Optimization vs Data Scientist?

AspectHome Based Convex OptimizationData Scientist
Required CredentialsMathematics, Optimization, Computer Science degreesStatistics, Mathematics, Computer Science degrees
Work EnvironmentRemote, independent work on optimization problemsRemote or office, analyzing data and building models
Industry UsageFinance, tech, research institutionsTech, finance, healthcare, marketing

Home Based Convex Optimization specialists focus on solving mathematical optimization problems remotely, often within research or technical roles. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong analytical skills and related credentials, their core tasks differ: one emphasizes mathematical problem-solving, the other data analysis. They are often searched together due to overlapping skills and remote work options.

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What cities are hiring for Home Based Convex Optimization jobs?

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What are the most commonly searched types of Convex Optimization jobs?

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What states have the most Home Based Convex Optimization jobs?

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Home Based Convex Optimization jobs near you
Infographic showing various Home Based Convex Optimization job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $55,794 per year, or $26.8 per hour.

Software Engineer, High Performance Computing (Starlink)

SpaceX

Redmond, WA • On-site

$156K/yr

Full-time

Re-posted 9 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

Job Summary:
SpaceX is a company focused on developing technologies for space exploration and satellite internet systems. They are seeking a Software Engineer specializing in High Performance Computing for the Starlink program, responsible for developing reliable software to enhance user experience in satellite internet services.
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 science discipline; OR 2+ years of professional experience in software development in lieu of a degree (internship experience is applicable).
• 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.

What SpaceX employees say

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Benefits

Hours and flexibility

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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